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THKU MCH (Mechatronics)1-1 Credits AKTS 1-2 Credits AKTS

MAT 121 Mathematics I 4 4-0-4 8 MAT 122 Mathematics II 4 4-0-4 8PHY 101 Physics I 4 3-2-4 6 PHY 102 Physics II 4 3-2-4 6

COM 121Computer Programmign I(Java) 4 3-2-4 8 COM 122

Computer Programming II(C/C++) 4 3-2-4 7

TUR 101 Turkish I 2 2-0-2 2 TUR 102 Turkish II 2 2-0-2 2

ENG 102Academic PresentationSkills 3 2-2-3 6 ENG 101 Academic Writing Skills 3 2-2-3 6

MCH 101Introduction toMechatronics 1 0-3-1 1

Total Courses 5 5 Total Courses 6 6Total Credits 17 30 Total Credits 18 302-1 2-2

COM 201Algorithms and DataSturctures 3 3-0-3 5

(**) Faculty ElectiveCourse 5 4-2-5 6

EEE 201 Circuit Theory 4 4-0-4 6 MEC 202 Dynamics 3 3-0-3 6

MCH 203

Elements of Design forMechatronics EngineeringI 5 4-2-5 6 MAT 222 Differantial Equations 3 3-0-3 5(*) Mathematics ElectiveCourse 3 3-0-3 6 EEE 202 Electronic Circuits 4 4-0-4 6

MCH 201 Engineering Mechanics 5 4 - 2 - 5 5 ATA 102 Principles of Ataturk II 2 2-0-2 2ATA 101 Principles of Ataturk I 2 2-0-2 2 MCH 200 Summer Practice I 0 0-0-0 5


EEE 301 Signals and Systems 3 3-0-3 6 EEE 302Automatic ControlSystems 3 3-0-3 5

(**) Faculty ElectiveCourse 5 4-2-5 6 MCH 302 Mechatronic Components 4 3-2-4 4

MCH 301 Modeling and Simulation 3 3-0-3 5(**) Faculty ElectiveCourse 4 4-0-4 6

EEE 307 Microprocessors 3 2-2-3 6 MEC 304 Machine Theory 3 3-0-3 6EEE 205 Logic Design 4 3-2-4 7 MCH 300 Summer Practice II 0 0-0-0 9


MCH 495 Senior Design Project I 3 3-0-3 9 MCH 496 Senior Design Project II 3 3-0-3 9(***) Technical ElectiveCourse I 5 4-2-5 6

(***) Technical ElectiveCourse IV 3 3-0-3 6

(***) Technical ElectiveCourse II 3 3-0-3 6

(***) Technical ElectiveCourse V 3 3-0-3 6

(***) Technical ElectiveCourse III 3 3-0-3 6

(*) Mathematics ElectiveCourse 3 3-0-3 6

Cultural Elective Course I 3 3-0-3 3Cultural Elective CourseII 3 3-0-3 3

Total Courses 5 5 Total Courses 5 5Total Credits 17 30 Total Credits 15 30

Total Courses 45Total Credits 138Total AKTS 240

(*) Mathematics Elective Course: At least 2 courses in the list: MAT 221 Linear Algebra, IND 323 Probability and Statistics, MAT 201Discrete Mathematics, MAT XXX Probability, MAT 232 Complex Analysis, MAT XXX Numerical Methods, MAT XXX Statistics

(**) Faculty Elective Course: At least 3 courses in the list: MCH 202 Materials Science and Manufacturing Methods for MechatronicsEngineering, MCH 303 Elements of Design for Mechatronics Engineering II, MCH 304 Thermo-fluid Engineering, MCH 306Introduction to Microsystems, COM 202 Algorithms and Data Structures II, COM 203 Object-oriented Design and Programming, COM302 Computer Architecture and Embedded Systems, COM 411 Software Engineering, EEE 206 Electromagnetic Theory, EEE XXXElectrical Machines I, EEE XXX Electrical Machines II, EEE 308 Digital Signal Processing, MEC 205 Thermodynamics, MEC 301Manufacturing Techniques, MEC 305 Heat Transfer, MEC 306 Machine Elements, IND 202 Operations Research I, IND 301 OperationsResearch II, IND 302 Production Planning and Control, IND 305 Quality Assurance and Reliability, IND 306 Simulation, AEE 204 FluidMechanics, AEE 303 Aerodynamics I, AEE 304 Aerodynamics II

(***) Technical Elective Course: At least 5 courses in the list. At least 2 of these courses should be MCH4XX . Elective courses from theother departments are due to the consent of Mechatronics Department. MCH 401 Mechatronic Instrumentation, MCH 403 ModernControl, MCH 405 Mechanical Vibrations, MCH 407 Design Problems in Engineering, MCH 409 Practical Finite Elements, MCH 411Flying Robotics, MCH 402 Swarm Robotics, MCH 404 Space Mechatronics, MCH 406 Industrial Automation, MCH 408 AdvancedStructural Mechanics and Mechatronic Compoment Design, MCH 410 Advanced CAD ve CAM, MCH 412 Smart Materials, MCH 414Robotics, MCH 416 Optimal Control, EEE 4XX, COM 4XX, IND 4XX, AEE 4XX, MEC 4XX

(****) Cultural Elective Course: At least 2 courses from the offered cultural elective courses.

COURSE INFORMATION

Department : Mechatronics Engineering

Prerequisites/Requirements

for Admission : COM121

Mode of delivery : Laboratory, Projects and Exams

Course coordinator : N/A

Course lecturer(s) : N/A

Course assistant(s) : N/A

Course description/aim

: Main objective of this course is to introduce basic concepts of mechatronics

engineering to the students. Building blocks of mechatronics products will be

introduced. At the end of the course, students will be familiar with some basic

sensors, actuators and microcontrollers.

Course contents

: What is engineering? Engineering codes and ethics. Principles of

mechatronics engineering. Building blocks of mechatronic products.

Introduction to mobile robots. Obot mobile robot platform. Sensors, actuators,

microcontrollers and programming. Braitenberg vehicles. Implementation with

Obot platform.

Recommended optional

program components : --

Compulsory Attendance : 70%

Course Learning Outcomes

Learning outcome Teaching

Methods/Techniques

Assessment method(s)

Students will be able to:

1 Learn engineering codes and ethics Laboratory Exams

2 Learn basic principles of mechatronics Laboratory Projects and Exams

3 Reverse engineer mechatronics products and

understand basic working principles

Laboratory Projects and Exams

4 Understand different design techniques to

create mechatronic systems


5 Work individually or in a group for solving

mechatronic design problems.


6 Design, develop and implement simple

behaviors in mobile robots


Weekly Detailed Course Content

Week Content Recommended

Resource(s)

Time

(Hours)

1 What is engineering? 3

2 Engineering codes and ethics 3

3 What is mechatronics engineering? 3

4 Basic building blocks of mechatronic products 3

5 Video demonstration: Mechatronic products 3

Course

Code MCH102

Course

Name Introduction to Mechatronics

Type of

Course

Level of

Course Semester Language Theory

Application

(Practice) Laboratory

Local

Credits ECTS

Compulsory Bachelor 2nd

English 0 3 0 1 1

COURSE INFORMATION

6 Introduction to mobile robots 3

7 Video demonstration: Mobile Robots 3

8 Mid-term Examination 3

9 Sensors, actuators and controllers in mobile robots 3

10 Basic principles of control and close-loop systems 3

11 Introduction to Obot Mobile Robot Kit 3

12 Sensors and interfacing 3

13 Actuators and actuation systems 3

14 Introduction to Braitenberg Vehicles 3

15 Implementation of Braitenberg Vehicles with Obot 3

16 Final Examination 3

17 Final Examination

Sources

Course

notes/textbooks

: Sabri Çetinkunt, “Mechatronics”, John Wiley & Sons, 2006. ISBN: 047147987X

Histand M.B., and Alciatore D.G. "Introduction to Mechatroncis and Measurement

Systems", McGraw-Hill International Editions, 1999.

Readings :

Supplemental

readings :

References :

Evaluation System

Work Placement Number Percentage of Grade

Attendance -- 0

Quizzes -- 0

Homework -- 0

Presentation -- 0

Laboratory/Practice -- 0

Report(s) -- 0

Graduate Thesis/Project -- 0

Seminar -- 0

Projects 3 30

Midterm exam(s) 1 30

Others -

Final exam 1 60

Total 100

Percentage of semester work 60

Percentage of final exam 40

Total 100

Workload Calculation

Activity Number Time (hours) Total work load (hours)

Course hours 0 0 0

Individual study for

course 1 3 3

Midterm exam(s) 1 3 3

COURSE INFORMATION

Final exam 1 4 4


project 5 3 15


midterm exams 1 2 2

Individual study for final

exam 1 2 2

Total 29

ECTS Credit(Total/25.5) 1

Contribution of Learning Outcomes to Program Outcomes

PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11 PO12

LO1 4 3 3 3 4 4 4 4 4 3 3 2

LO2 4 3 4 4 4 5 3 2 3 3 3 3

LO3 5 4 5 5 5 5 4 4 4 3 3 4

LO4 2 2 3 4 5 3 3 3 4 3 3 2

LO5 3 3 5 4 4 4 3 4 4 3 3 2

LO6 3 3 4 5 5 3 3 2 3 3 3 3

Contribution Level: 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High

COURSE INFORMATION

Department


for Admission -

Mode of delivery Lecture, Presentation, Demonstration

Course coordinator -

Course lecturer(s) Oğuz Uçar

Course assistant(s) -

Course description/aim Students will be able to understand , interpret and make analysis based on Atatürk

Principles and Revolutions

Course contents

Ottoman Empire during the early 20th

century, World War 1 and its results,

The Preparation Period of Independence War, Battles and Treaties During The

Independence War


program components -

Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are

accepted as unsuccessful



Methods/Techniques


At the end of this course; students will be able to:

1. explain concepts pertaining to Atatürk

principles and Revolution History

Lecture, Question and

Answer

Written exam, homework

2. interpret the democratization process of

Ottomon Empire.


Answer, Discussion


3. interpret the effect of 1st and 2

nd

constitutional monarchy periods on Ottomon

political life.


Answer, Discussion


4. explain the effects of Industrial Revolution

and French Revolution on World War 1.


Answer, Discussion


5. evaluate World War 1 and its results in

terms of Turkish and World History.


Answer, Discussion


6. explain and interpret developments

pertaining to Mondros ceasefire agreement

and its following developments.


Answer, Discussion


7. explain the aim and content of notices and

congresses during Independence War.


Answer, Discussion


8. explain and interpret the decisions of

National Oath and the Last Ottoman

Parliament


Answer, Discussion


9. explain and interpret the opening of Turkish

Grand National Assembly and the

precautions taken towards rebellions


Answer, Discussion


Course

Code ATA101

Course

Name ATATURK’S PRINCIPLES AND REVOLUTION HISTORY

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory First

Degree 3 Turkish 2 0 - 2 2

COURSE INFORMATION

10. interpret the fronts during the Independence

War, Mudanya Ceasefire and Lozan Peace

Treaty


Answer, Discussion




Resource(s)

Time

(Hours)

1 Ottoman Empire during the early Part of 20

th century, Turco-

Italian and Balkan Wars

Textbook /Lecture

notes

2

2 The Causes of World War 1/ The Ottomans Entering into War Textbook /Lecture

notes

2

3 The Fronts in World War 1 Textbook /Lecture

notes

2

4 Wilson Principles, Paris Peace Conference Textbook /Lecture

notes

2

5 Mondros Ceasefire and Societies Textbook /Lecture

notes

2

6 The Preparation Period of Independence War Textbook /Lecture

notes

2

7 Havza, Amasya and Erzurum Congresses Textbook /Lecture

notes

2

8 Midterm Exam Textbook /Lecture

notes

2

9 Sivas Congress and Amasya Negotiations Textbook /Lecture

notes

2

10 The Decisions of the Last Otktoman Parliament and National

Assembly and Sevr Peace Aggreement

Textbook /Lecture

notes

2

11 The Opening and the Rebellions Towards Turkish Grand

National Assembly and Sevr Peace Aggreement

Textbook /Lecture

notes

2

12 East and South Fronts in the Independence War Textbook /Lecture

notes

2

13 Wars of 1st and 2nd İnönü, Kütahya-Eskişehir Wars Textbook /Lecture

notes

2

14 Sakarya and Grand War Textbook /Lecture

notes

2

15 Mudanya Ceasefire and Lozan Peace Treaty Textbook /Lecture

notes

2

16 Final Exam Textbook /Lecture

notes

2


notes

2

Sources

Course

notes/textbooks : Nutuk(Atatürk Research Center),Turkish Republic History, Birth of Modern Turkey

Readings :

Supplemental

readings : Modern Turkey Magazine, Memories and Diaries

References :

COURSE INFORMATION

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)

Graduate Thesis/Project

Seminar

Projects


Others

Final exam 1 600

Total 100



Total 100

Workload

Type Number Time (hours) Total Workload

Class Duration 14 2 28

Individual Study 14 1 14

Midterm(s) 1 2 2

Final 1 2 2

Individual Study for

Homeworks


Presentations


Projects


Midterm(s) 2 3 6

Individual Study for Final 2 4 8

Total 60

ECTS (Total/25.5) 2


PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11

LO1 1 1 1 1 3 3 5 2 2 2 1

LO2 1 1 1 1 3 3 5 2 2 2 1

LO3 1 1 1 1 3 3 5 2 2 2 1

LO4 1 1 1 1 3 3 5 2 2 2 1

LO5 1 1 1 1 3 3 5 2 2 2 1

LO6 1 1 1 1 3 3 5 2 2 2 1

LO7 1 1 1 1 3 3 5 2 2 2 1

LO8 1 1 1 1 3 3 5 2 2 2 1

LO9 1 1 1 1 3 3 5 2 2 2 1

LO10 1 1 1 1 3 3 5 2 2 2 1

Contribution Level : 1 Very low, 2 Low, 3 Medium, 4 High, 5 Very High

COURSE INFORMATION

Department


for Admission -

Mode of delivery Lecture, Presentation, Demonstration

Course coordinator -

Course lecturer(s) Oğuz Uçar

Course assistant(s) -

Course description/aim The aim of the course is to make students understand, analyze and interpret the

principals and revolutions of Atatürk.

Course contents

Atatürk Revolutions (political, legal , education, social, economic), Trials of

the Multi-Party System, Foreign policy in Atatürk’s period, Kemalism and its

principles, The period of İsmet İnönü, Second World War and Turkey.


program components -

Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are

accepted as unsuccessful



Methods/Techniques



1. Explain the concepts of Atatürk’s principles

and Revolution History.


Answer


2. Evaluate the political revolutions of new

Turkish government.


Answer, Discussion


3. Explain the reasons of the failure in

transition of many political parties.


Answer, Discussion


4. Evaluate the revolutions of legal by

comparing with old legal system.


Answer, Discussion


5. Explain the revolutions on education and

culture.


Answer, Discussion


6. Find the differences on social life by

comparing with previous period.


Answer, Discussion


7. Make a comment on works of economics

and its contributions to the country.


Answer, Discussion


8. Evaluate the methods followed in foreign

policy by learning Turkish foreign policy.


Answer, Discussion


9. Evaluate Atatürk principals by interpreting

Kemalism system.


Answer, Discussion


10. Interpret the events in Turkey and Second

World War.


Answer, Discussion


Course

Code ATA102

Course

Name ATATURK’S PRINCIPLES AND REVOLUTION HISTORY

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor 2 Turkish 2 - - 2 2

COURSE INFORMATION



Resource(s)

Time

(Hours)

1 Turkish Revolution History Textbook /Lecture

notes

2

2 Revolutions on the field o f Policy Textbook /Lecture

notes

2

3 Trials of the Multi-Party System Textbook /Lecture

notes

2

4 Revolutions in the field of Legal Textbook /Lecture

notes

2

5 Revolutions in the field of Education and Culture Textbook /Lecture

notes

2

6 Revolutions in the field of Social Textbook /Lecture

notes

2

7 Recap Textbook /Lecture

notes

2

8 Midterm Exam Textbook /Lecture

notes

2

9 Events of Econmics and Revolutions in the field of Economics Textbook /Lecture

notes

2

10 Foreign policy of the new Turkish Government Textbook /Lecture

notes

2

11 The Bosphorus Issue , Balkan Entente, Sadabad Entente,

Hatay Issue, Population Exchange

Textbook /Lecture

notes

2

12 Kemalism Textbook /Lecture

notes

2

13 Atatürk principles (Republicanism, Nationalism, Populism,

Secularism, Statism, Revolutionism )

Textbook /Lecture

notes

2

14 The death of Atatürk and the period of İsmet İnönü Textbook /Lecture

notes

2

15 Second World War and Turkey Textbook /Lecture

notes

2


notes

2

17 Final Exam

Sources

Course

notes/textbooks

: Nutuk(Atatürk Searching Centre),The History of Turkish Republic, Rising of Modern

Turkey, Course grades of the teacher

Readings :

Supplemental

readings : Çağdaş Türkiye Dergisi, Anı ve Hatıralar

References :

Evaluation System


Attendance

Quizzes

Homework

COURSE INFORMATION

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 600

Total 100



Total 100

Workload


Class Duration 14 2 28

Individual Study 10 1 10

Midterm(s) 1 2 2

Final 1 2 2 Individual Study for

Homeworks


Presentations


Projects


Midterm(s) 2 2 4

Individual Study for Final 2 2 4

Total 50

ECTS (Total/25.5) 2

MATRIX OF COURSE LEARNING OUTCOMES VERSUS PROGRAM OUTCOMES


LO1 1 1 3 1 1 1 1 1 3 5 1 5

LO2 1 1 3 1 1 1 1 1 3 3 1 4

LO3 1 1 2 1 1 1 1 1 3 3 1 5

LO4 1 1 3 1 1 1 1 1 4 4 1 4

LO5 1 1 2 1 1 1 1 1 5 5 1 4

LO6 1 1 2 1 1 1 1 1 4 3 1 4

LO7 1 1 2 1 1 1 1 1 3 3 1 5

LO8 1 1 3 1 1 1 1 1 4 4 1 4

LO9 1 1 2 1 1 1 1 1 5 5 1 4

COURSE INFORMATION

LO10 1 1 2 1 1 1 1 1 4 3 1 4

Contrubition level : 1 Lowest, 2 Low, 3Average , 4 High, 5 Highest

COURSE INFORMATION

Department : Computer Engineering


for Admission : None

Mode of delivery : Face to face

Course coordinator : Dr. Engin Demir

Course lecturer(s) : Dr. Engin Demir, Emre Yılmaz


Course description/aim : This course introduces fundamental concepts of programming using Java.

Course contents

: This is an introductory course for computer programming using Java. The

course covers the fundamentals of algorithmic problem solving for a variety of

problems involving the use of basic control and data structures. Other topics

include fundamental data types, control structures including conditions and

iteration, arrays, input and output. In addition, some key concepts of object-

oriented programming will be discussed.


program components : None




Methods/Techniques



1 To be able to use an integrated development

environment to design and write code in the

Java programming language

Lectures Quizzes, exams and

laboratory assignments

2 To define and correctly use data types, arrays,

conditionals and loops Lectures Quizzes, exams and


3 To understand the use of predefined classes Lectures Quizzes, exams and


4 To be able to design objects and write new classes Lectures Quizzes, exams and


5 To illustrate the principles of object-oriented

programming Lectures Quizzes, exams and




Resource(s)

Time

(Hours)

1 Introduction to computing Textbook 3

2 Character strings, variables and assignments, primitive

data types

Textbook 3

3 Expressions, data conversion and interactive programs Textbook 3

4 The use of predefined classes and enumerated types,

creating objects.

Textbook 3

5 Anatomy of classes and methods, Writing classes Textbook 3

Course

Code COM121

Course

Name Computer Programming I (Java)

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor 1 English 3 0 2 4 7

COURSE INFORMATION

6 Boolean expressions, conditionals Textbook 3

7 While loops, iterators, ArrayList Class Textbook 3

8 Midterm 1 2

9 Switch statement, do and for loops. Textbook 3

10 Array elements, declaring and using arrays, arrays of

objects

Textbook 3

11 Variable length parameter lists, two-dimensional arrays Textbook 3

12 Midterm 2 2

13 Class relationships, static class members Textbook 3

14 Interfaces, method design, method overloading Textbook 3

15 Review Textbook 3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: Java Software Solutions: Foundations of Program Design, Lewis & Loftus, Seventh

Edition, Pearson.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 5 5

Homework

Presentation

Laboratory/Practice 8 25

Report(s)


Seminar

Projects


Others

Final exam 1 30

Total 100



Total 100



Course hours 13 3 39


course 10 6 60


COURSE INFORMATION

Final exam 1 3 3

Laboratory 8 2 16


laboratory 8 2 16


midterm exams 4 5 20


exam 4 4 16

Total 174




LO1 2 2 1 2 3 2 2 2 2 2 4 2

LO2 3 5 2 3 4 3 3 3 3 4 2 2

LO3 4 3 2 2 5 1 2 2 2 3 4 2

LO4 2 2 3 2 1 2 3 4 3 3 2 3

LO5 1 2 2 1 2 2 2 2 4 4 4 3


COURSE INFORMATION





Course coordinator : Dr. Engin Demir

Course lecturer(s) : Dr. Engin Demir, Emre Yılmaz


Course description/aim : The course aims to introduce C/C++ programming languages, principles of object

oriented programming, basic data structures and graphical user interface.

Course contents

: Course content includes the usage of data types, arrays, conditionals and

loops in C/C++. In addition, the course covers functions and recursion,

pointers, basic data structures such as linked lists, queues and stacks, the

object-oriented programming concepts, file I/O and GUI.






Methods/Techniques



1 To be able to write code in C/C++

programming languages



2 To define and correctly use data types, arrays,

conditionals and loops in C/C++ Lectures Quizzes, exams and


3 To use pointers and basic data structures such

as linked list, queue and stack



4 To understand recursive and iterative

thinking.



5 To be able to handle errors and exceptions. Lectures Quizzes, exams and


6 To explore the concepts of object-oriented

programming such as inheritance and

polymorphism



7 To develop simple applications with

graphical user interface(GUI)





Resource(s)

Time

(Hours)

1 Basics of programming Textbook 1 & 2 3

2 Data types, conditionals and loops Textbook 1 3

3 Functions and recursion Textbook 1 3

4 Arrays and vectors Textbook 1 3

Course

Code COM122

Course

Name Computer Programming II (C/C++)

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

5 Pointers Textbook 1 3

6 Pointers, Linked list Textbook 1, Supp.

read.

3

7 Queue and stack Textbook 1, Supp.

read.

3

8 Midterm 2

9 Error and error handling Textbook 1 3

10 Classes and objects Textbook 1 3

11 Object-oriented programming: Inheritance Textbook 1 3

12 Object-oriented programming: Polymorphism Textbook 1 3

13 File I/O Textbook 1 3

14 GUI Textbook 2 3

15 GUI Textbook 2 3

16 Final Exam 2

17 Final Exam

Sources

Course

notes/textbooks

: 1. C++ How to Program, Deitel & Deitel ,8/E, Pearson

2. Programming: Principles and Practice Using C++, Stroustrup, Pearson.

Readings :

Supplemental

readings

: Data Abstraction & Problem Solving with C++: Walls and Mirrors, Carrano & Henry,

6/E, Pearson

References :

Evaluation System


Attendance

Quizzes 5 5

Homework

Presentation


Report(s)


Seminar

Projects


Others

Final exam 1 40

Total 100



Total 100




Individual study for 10 6 60

COURSE INFORMATION

course


Final exam 1 2 2

Laboratory 8 2 16


laboratory 8 2 16




exam 5 4 20

Total 178




LO1 2 2 1 2 3 2 2 2 2 2 4 2

LO2 3 5 2 3 4 3 3 3 3 4 2 2

LO3 4 3 2 2 5 1 2 2 2 3 4 2

LO4 2 2 3 2 1 2 3 4 3 3 2 3

LO5 1 2 2 1 2 2 2 2 4 4 4 3

LO6 2 3 3 3 3 2 2 3 3 3 3 3

LO7 3 2 2 2 3 3 2 2 2 3 3 3


COURSE INFORMATION

Department : Faculty of Aeronautics and Astronautics, Faculty of Engineering




Course coordinator :

Course lecturer(s) :

Course assistant(s) :

Course description/aim : The aim of this course is to familiarize students with the discoursal and cognitive

aspects of writing academic essays, projects and research articles.

Course contents

: Starting from the academic writing processes to practising writing an

academic paper on a specific topic, the course presents an organisation from

introduction of an overview of the major elements involved in academic

writing, differences between academic and personal styles of writing, grammar

of academic writing, strategies to produce increasingly more complex texts to

creation of whole texts. The course focuses on the creation of bibliographies

and the structure of research report and papers.


program components : Web-sites, articles, newspapers, magazines in English

Compulsory Attendance :


Learning outcome

Teaching

Methods/Techniques



1 Develop skills for solving problems and

generating ideas to compose these ideas into a

written text that efficiently convey ideas

within academic appropriateness

Lecture, discussion,

brain storming, problem-

solving, individual and

group work

Written exam,

homework

2 Recognize academic discourse, academic

vocabulary together with processes of

academic writing




group work

Written exam,

homework

3 Explore ways of organizing data Lecture, discussion,



group work

Written exam,

homework

4 Plan how comparisons and contrasts can lead

to evaluations




group work

Written exam,

homework

5 Explore how principles of clarity, honesty,

reality and relevance improve texts




group work

Written exam,

homework

Course

Code ENG 105

Course

Name Academic Writing Skills

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory

Elective Bachelor 1 English 2 2 0 3 6

COURSE INFORMATION

6 Present cohesion while writing about visuals

(diagrams, graphs, pie charts)




group work

Written exam,

homework

7 Examine key aspects of method, result and

discussion sections in academic papers




group work

Written exam,

homework

8 Learn techniques for organizing a text Lecture, discussion,



group work

Written exam,

homework



Resource(s)

Time

(Hours)

1

Exploring characteristics of academic writing, thinking about

writing processes, the grammar of academic discourse,

distinguishing between academic and personal styles of

writing, avoiding plagiarism

4

2

Researching, exploring the Internet and recording

explorations, brainstorming, clustering, planning and

visualizing texts

4

3 Paraphrasing, summarizing, response writing, getting teacher

feedback

4

4 Developing and organizing argumentative essays, getting

teacher feedback

4

5

The language of classification, recognizing categories and

classifications, writing classification essays, getting teacher

feedback

4

6

Exploring comparison and contrast structures, using

comparisons and contrasts to evaluate and recommend,

writing evaluations, getting teacher feedback

4

7

Identifying a research gap, exploring the structure of a

research paper, giving feedback for sample academic texts

within a peer group

4

8 Mid-term exam 4

9 Exploring the language of definition, understanding academic

vocabulary, writing extended definitions

4

10 Exploring the language of generalizations, hedging and

boosting generalizations, writing a literature review

4

11

Reading and writing about visuals, describing diagrams, bar

charts, pie charts and tables, writing exercises that describe

visuals

4

12

Describing processes, exploring the language for writing

about processes, reading and recognizing the structure of

Methods section of an academic paper, in-class guided writing

exercises

4

13

Exploring the results and discussion sections of argumentative

academic texts, group discussions for results and discussion

sections in sample academic texts, in-class guided writing

exercises

4

COURSE INFORMATION

14

Exploring the structure of S-P-S-E (Situation, Problem,

Solution, Evaluation) in academic texts, writing Problem-

Solving essay, getting teacher feedback

4

15

Exercises on recognizing and revising principles of academic

writing; clarity principle, honesty principle, reality principle

and relevance principle

4

16 Final Exam 4

17 Final Exam

Sources

Course

notes/textbooks :

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework 5 25

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 50

Total 100



Total 100





course 10 4 40




Final exam 1 3 3


exam 2 5 10

COURSE INFORMATION


project


homework 5 3 15


presentation 3 4 12

Total 149




LO1 1 4 3 1 1 1 1 1 1 3 1 2

LO2 1 3 4 1 1 1 1 1 1 4 1 3

LO3 1 4 4 1 1 1 1 1 1 3 1 4

LO4 1 3 3 1 1 1 1 1 1 3 1 5

LO5 1 4 4 1 1 1 1 1 1 4 1 3

LO6 1 5 4 1 1 1 1 1 1 5 1 4

LO7 1 5 5 1 1 1 1 1 1 4 1 3

LO8 1 5 5 1 1 1 1 1 1 3 1 2


COURSE INFORMATION

Department : Faculty of Aeronautics and Astronautics, Faculty of Engineering








: The aim of this course is to enable students to communicate more effectively in

seminars, presentations and group work by equipping them with necessary academic

speaking skills.

Course contents

: Although the course mainly focuses on improvement of speaking skills,

improvement on listening, writing and reading skills will also be included to

complement communication skills. The course balances language focus and

academic input with practice to enhance students’ competence and to help

them communicate effectively in different academic situations.


program components :



Learning outcome At the end of this course; students will be able

to:

Teaching

Methods/Techniques


1 Develop critical thinking skills through reading,

reflection, discussion, oral presentation and

writing.


presentation

Oral presentation

2 Demonstrate increased confidence in speaking. Lecture, discussion,

presentation

Oral presentation

3 Develop skills to learn from other persons' oral

presentations. Lecture, discussion,

presentation

Oral presentation

4 Prepare appropriate media for presentations. Lecture, discussion,

presentation

Oral presentation

5 Demonstrate teamwork and group presentation

skills as a contributing member of a team. Lecture, discussion,

presentation

Oral presentation

6 Develop skills for reading, discussion and writing. Lecture, discussion,

presentation

Oral presentation



Resource(s)

Time

(Hours)


1 Introduction to public speaking, the speech communication

process, developing confidence, class speech

4

Course

Code ENG 106

Course

Name Academic Presentation Skills

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory


COURSE INFORMATION

2

Introduction to academic appropriateness, avoiding

plagiarism, the importance of ethics in speaking and listening,

the importance of being a better listener, strategies for

listening better, note-taking skills and practice

4

3 Selecting a topic and a purpose, determining general and

specific purposes, phrasing the central idea

4

4 Class speeches, commentary and peer feedback – analyzing

the audience, adapting to the audience

4

5 Doing research, supporting ideas, citing sources orally,

outlining the speech

4

6 Introduction and Conclusion of the speech, organizing the

body of the speech

4

7 Kinds of visual aids, preparing and presenting visual aids,

using power point,

4

8 Practicing delivery, answering audience questions (Mid-term

Exam)

4

9 Introduction and analysis of informative speeches 4

10 Introduction and analysis of persuasive speeches 4

11 Reading and listening selected texts, analysis and discussion 4

12 Reading and listening selected texts, analysis and discussion 4

13 Oral report, symposium, panel discussions, the reflective-

thinking method

4

14 Informative presentation 4

15 Persuasive presentation 4

16 Final presentation 4

17 Final presentation

Sources

Course

notes/textbooks :

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 7 10

Homework

Presentation 2 20

Laboratory/Practice

Report(s)


Seminar

Projects


Others

COURSE INFORMATION

Final exam 1 40

Total 100



Total 100





course 10 4 40




Final exam 1 3 3


exam 2 5 10


project


homework 5 3 15


presentation 2 5 10

Total 147




LO1 1 4 3 1 1 1 1 1 1 3 1 2

LO2 1 3 4 1 1 1 1 1 1 4 1 3

LO3 1 4 4 1 1 1 1 1 1 3 1 4

LO4 1 3 3 1 1 1 1 1 1 3 1 5

LO5 1 4 4 1 1 1 1 1 1 4 1 3

LO6 1 5 4 1 1 1 1 1 1 5 1 4

LO7 1 5 5 1 1 1 1 1 1 4 1 3

LO8 1 5 5 1 1 1 1 1 1 3 1 2


COURSE INFORMATION

Department : Faculty of Engineering



Mode of delivery : Face to Face

Course coordinator

Course lecturer(s)

Course assistant(s)

Course description/aim Learning calculus fundamentals with an engineering perspective and applying

to real-life problems using tools such as Wolfram Alpha, and Matlab

Course contents

Discussions include but not limited to functions, limits and continuity,

differentiation, applications of derivatives, integration, applications of

definition integrals, and techniques of integration. Applied math part includes

numerical assignments to be solved with Matlab and Wolfram Alpha.



Compulsory Attendance : Yes



Methods/Techniques



1 Explain functions, composite functions and

their uses in systems with an engineering

perspective

Lecture, Lecture with

Discussion

Midterm and Final

Exams

2 Explain continuity of functions in connection

with limits followed by limit theorems


Discussion

Midterm and Final

Exams

3 Explain relation between a secant line of a

function and its tangent line which is then

expanded to derivatives


Discussion

Midterm and Final

Exams

4 Explain integration and fundamental theorem

of calculus built upon antiderivatives


Discussion

Midterm and Final

Exams

5 Apply derivative and integration to physical

problems (such as displacement and

optimization) and develop/generate numerical

solutions to otherwise hard-to-solve-

algebraically math problems using tools such

as Wolfram Alpha and Matlab


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 1. Functions: Textbook/ Lecture 4

Course

Code MAT 121

Course

Name Mathematics I

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

1.1 Functions and Their Graphs, 1.2 Combining Functions;

Shifting and Scaling Graphs

Notes

2 1.3 Trigonometric Functions, 1.4 Graphing with Calculators and

Computers

Textbook/ Lecture

Notes

4

3

2. Limits and Continuity:

2.1 Rates of Change and Tangents to Curves, 2.2 Limit of a

Function and Limit Laws, 2.3 The Precise Definition of a Limit

Textbook/ Lecture

Notes

4

4 2.4 One-Sided Limits, 2.5 Continuity, 2.6 Limits Involving

Infinity; Asymptotes of Graphs

Textbook/ Lecture

Notes

4

5

3. Differentiation:

3.1 Tangents and the Derivative at a Point, 3.2 The Derivative as

a Function, 3.3 Differentiation Rules, 3.4 The Derivative as a

Rate of Change

Textbook/ Lecture

Notes

4

6

3.5 Derivatives of Trigonometric Functions, 3.6 The Chain Rule,

3.7 Implicit Differentiation, 3.8 Related Rates, 3.9 Linearization

and Differentials

Textbook/ Lecture

Notes

4

7

4. Applications of Derivatives:

4.1 Extreme Values of Functions, 4.2 The Mean Value Theorem,

4.3 Monotonic Functions and the First Derivative Test

Textbook/ Lecture

Notes

4

8 Midterm Exam 2

9 4.4 Concavity and Curve Sketching, 4.5 Applied Optimization,

4.6 Newton's Method, 4.7 Antiderivatives

Textbook/ Lecture

Notes

4

10

5. Integration:

5.1 Area and Estimating with Finite Sums, 5.2 Sigma Notation

and Limits of Finite Sums, 5.3 The Definite Integral

Textbook/ Lecture

Notes

4

11

5.4 The Fundamental Theorem of Calculus, 5.5 Indefinite

Integrals and the Substitution Method, 5.6 Substitution and Area

Between Curves

Textbook/ Lecture

Notes

4

12

6. Applications of Definite Integrals:

6.1 Volumes Using Cross-Sections, 6.2 Volumes Using

Cylindrical Shells

Textbook/ Lecture

Notes

4

13 6.3 Arc Length, 6.4 Areas of Surfaces of Revolution Textbook/ Lecture

Notes

4

14

7. Transcendental Functions:

7.1 Inverse Functions and Their Derivatives, 7.2 Natural

Logarithms, 7.3 Exponential Functions, 7.4 Exponential Change

and Separable Differential Equations

Textbook/ Lecture

Notes

4

15

7.5 Indeterminate Forms and L’Hopital's Rule, 7.6 Inverse

Trigonometric Functions, 7.7 Hyperbolic Functions, 7.8 Relative

Rates of Growth

Textbook/ Lecture

Notes

4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

Thomas' Calculus: Global Edition, 12/e by George B. Thomas, Jr., Maurice D. Weir,

and Joel Hass, ISBN -10: 0321643631, ISBN-13: 9780321643636, Published by

Pearson Higher Education ©2010, 1236 pp. packaged with MyMathLab or MyMathLab

stand-alone.

Readings

Supplemental

readings

References Calculus: Early Transcendentals (Stewart's Calculus Series) by James Stewart

COURSE INFORMATION

http://www.wolframalpha.com

http://www.mathworks.com/academia/student_version/

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

Total 100



Total 100





course 15 5 75


Final exam 1 3 3


homework 6 5 30




exam 4 5 20

Total 201




LO1 5 5 1 1 4 1 1 1 1 2 1 1

LO2 5 5 2 1 5 1 1 1 1 3 1 1

LO3 5 5 3 1 3 1 1 1 1 3 1 1

LO4 5 5 1 2 4 1 1 1 1 2 2 2

LO5 5 5 1 1 3 1 1 1 1 3 1 1


COURSE INFORMATION

Department : Faculty of Engineering




Course coordinator

Course lecturer(s)

Course assistant(s)

Course description/aim Advanced calculus methods with an engineering perspective.

Course contents

Discussions include but not limited to techniques of integration, first order

differential equations, infinite sequences and series, polar coordinates, vectors,

partial derivatives of functions of several variables, multiple integrals.






Methods/Techniques



1 Take trigonometric integrals Lecture, Lecture with

Discussion

Midterm and Final

Exams

2 Explain infinites sequences and series Lecture, Lecture with

Discussion

Midterm and Final

Exams

3 Explain parametric equations, polar

coordinates and vectors


Discussion

Midterm and Final

Exams

4 Take partial derivatives of functions of

several variables


Discussion

Midterm and Final

Exams

5 Take multiple integrals Lecture, Lecture with

Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1

8. Techniques of Integration:

8.1 Integration by Parts, 8.2 Trigonometric Integrals, 8.3

Trigonometric Substitutions

Textbook/ Lecture

Notes

4

2 8.4 Integration of Rational Functions by Partial Fractions, 8.6

Numerical Integration, 8.7 Improper Integrals

Textbook/ Lecture

Notes

4

3

9. First-Order Differential Equations:

9.1 Solutions, Slope Fields, and Euler's Method

9.2 First-Order Linear Equations

Textbook/ Lecture

Notes

4

4 9.3 Applications, 9.4 Graphical Solutions of Autonomous Textbook/ Lecture 4

Course

Code MAT 122

Course

Name Mathematics II

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Equations, 9.5 Systems of Equations and Phase Planes Notes

5

10. Infinite Sequences and Series:

10.1 Sequences, 10.2 Infinite Series, 10.3 The Integral Test, l0.4

Comparison Tests

Textbook/ Lecture

Notes

4

6 10.5 The Ratio and Root Tests, 10.6 Alternating Series, Absolute

and Conditional Convergence, 10.7 Power Series,

Textbook/ Lecture

Notes

4

7

10.8 Taylor and Maclaurin Series, 10.9 Convergence of Taylor

Series, 10.10 The Binomial Series and Applications of Taylor

Series

Textbook/ Lecture

Notes

4

8 Midterm Exam 2

9

11. Parametric Equations and Polar Coordinates:

11.1 Parameterizations of Plane Curves, 11.2 Calculus with

Parametric Curves, 11.3 Polar Coordinates

Textbook/ Lecture

Notes

4

10

11.4 Graphing in Polar Coordinates, 11.5 Areas and Lengths in

Polar Coordinates, 11.6 Conic Sections, 11.7 Conics in Polar

Coordinates

Textbook/ Lecture

Notes

4

11

12. Vectors and the Geometry of Space:

12.1 Three-Dimensional Coordinate Systems, 12.2 Vectors

12.3 The Dot Product, 12.4 The Cross Product, 12.5 Lines and

Planes in Space, 12.6 Cylinders and Quadric Surfaces

Textbook/ Lecture

Notes

4

12

14. Partial Derivatives:

14.1 Functions of Several Variables, 14.2 Limits and Continuity in

Higher Dimensions, 14.3 Partial Derivatives, 14.4 The Chain

Rule, 14.5 Directional Derivatives and Gradient Vectors

Textbook/ Lecture

Notes

4

13

14.6 Tangent Planes and Differentials, 14.7 Extreme Values and

Saddle Points, 14.8 Lagrange Multipliers, 14.9 Taylor's Formula

for Two Variables, 14.10 Partial Derivatives with Constrained

Variables

Textbook/ Lecture

Notes

4

14

15. Multiple Integrals:

15.1 Double and Iterated Integrals over Rectangles, 15.2 Double

Integrals over General Regions, 15.3 Area by Double Integration,

15.4 Double Integrals in Polar Form

Textbook/ Lecture

Notes

4

15

15.5 Triple Integrals in Rectangular Coordinates, 15.6 Moments

and Centers of Mass, 15.7 Triple Integrals in Cylindrical and

Spherical Coordinates

Textbook/ Lecture

Notes

4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

Thomas' Calculus: Global Edition, 12/e by George B. Thomas, Jr., Maurice D. Weir,

and Joel Hass, ISBN -10: 0321643631, ISBN-13: 9780321643636, Published by

Pearson Higher Education ©2010, 1236 pp. packaged with MyMathLab or MyMathLab

stand-alone.

Readings

Supplemental

readings

References http://www.wolframalpha.com

http://www.mathworks.com/academia/student_version/

Evaluation System

COURSE INFORMATION


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

Total 100



Total 100





course 10 5 50


Final exam 1 3 3


homework 6 5 30




exam 4 5 20

Total 181

ECTS Credit(Total/30) 7



LO1 5 5 1 1 4 1 1 1 1 2 1 1

LO2 5 5 2 1 5 1 1 1 1 3 1 1

LO3 5 5 3 1 3 1 1 1 1 3 1 1

LO4 5 5 1 2 4 1 1 1 1 2 2 2

LO5 5 5 1 1 3 1 1 1 1 3 1 1


COURSE INFORMATION

1

Department :


for Admission :

Mode of delivery : Lectures, Homeworks and Exams




Course description/aim : To have students comprehend well the physics related to mechanics.

Course contents : Measurement and Unit Systems, Vectors, Statics, Kinematics, and Dynamics.






Methods/Techniques



1 Analyzes the static, kinematic and dynamic

processes.

Lectures Homeworks and Exams

2 Makes solution to the problems related to

static, kinematic and dynamic processes.


3 Applies these processes to other disciplines in

physics.


4 Proposes new models for the static, kinematic

and dynamic systems.




Resource(s)

Time

(Hours)

1 Units and Measurements 3

2 Physical Quantities and Vectors 3

3 Motion Along a Straight Line 3

4 Motion in Two and Three Dimensions 3

5 Newton’s Law of Motion 3

6 Applications of Newton’s Law 3

7 Work 3

8 Kinetic Energy 3

9 Potential Energy and Energy Conservation 3

10 Momentum, Impulse and Collisions 3

11 Midterm Exam 3

12 Rotation of Rigid Bodies 3

Course

Code PHY 101

Course

Name PHYSICS 101

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelors 1st English 3 2 0 4 7

COURSE INFORMATION

2

13 Dynamics of Rotational Motion 3

14 Gravitation 3

15 Periodic Motion 3

16 Final Exam 4

17 Final Exam

Sources

Course

notes/textbooks

: Physics for Scientist & Engineers with Modern Physics, D. Giancoli, Fourth Edition

and Lecture Notes.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 45

Total 100



Total 100





course 5 3 15


Final exam 1 4 4


homework 10 5 50




exam 7 5 35

Total 174

COURSE INFORMATION

3




LO1 4 3 3 3 4 1 1 1 2 3 1 2

LO2 4 3 4 4 4 1 1 1 2 3 1 3

LO3 5 4 5 5 5 1 1 1 3 3 1 4

LO4 3 2 3 4 5 1 1 1 2 3 1 2


COURSE INFORMATION

1

Department :


for Admission :





Course description/aim : To have students gained the background for electricity and magnetism necessary in

the engineering education.

Course contents

:Coulomb’s force, the electric field, electric flux, Gauss law, electric potential,

capacitors, current and resistivity, direct current circuits, Kirchhoff’s rules,

magnetic field, Biot-Savart’s law, Ampere’s law, induction, Faraday’s law,

Lenz’s law, inductance, energy in magnetic field, oscillations in the LC circuit,

electromagnetic waves.






Methods/Techniques



1 Analyze the electrical charge and being

neutral.


2 Analyze the forces and electric fields

produced by charged systems.


3 Determine the technological uses of the

capacitors.


4 Make analysis about the electrical current and

conductivity.


5 Understand how magnetic forces and fields

are produced.


6 Apply the electromagnetic induction, Faraday

and Lenz law to electrical circuits.


7 Analyze the alternating and direct current

circuits.




Resource(s)

Time

(Hours)

1 Electric Charge and Electric Field 3

2 Gauss’s Law 3

Course

Code PHY 102

Course

Name PHYSICS 102

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelors 2nd

English 3 2 0 4 7

COURSE INFORMATION

2

3 Electrical Potential 3

4 Capacitance and Dielectrics 3

5 Current, Resistance, and Electromotive Force 3

6 Direct Current Circuits 3

7 Magnetic Field 3

8 Magnetic Forces 3

9 Sources of Magnetic Field 3

10 Midterm Exam 3

11 Electromagnetic Induction 3

12 Inductance 3

13 Alternating Current 3

14 The Applications of Alternating Current 3

15 Electromagnetic Waves 3

16 Final Exam 4

17 Final Exam

Sources

Course

notes/textbooks

: Physics for Scientist & Engineers with Modern Physics, D. Giancoli, Fourth Edition

and Lecture Notes.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 45

Total 100



Total 100





COURSE INFORMATION

3

course


Final exam 1 4 4


homework 10 5 50




exam 7 5 35

Total 178




LO1 4 3 3 3 4 1 1 1 2 3 1 2

LO2 4 3 4 4 4 1 1 1 2 3 1 3

LO3 5 4 5 5 5 1 1 1 3 3 1 4

LO4 3 2 3 4 5 1 1 1 2 3 1 2

LO5 4 3 4 4 4 1 1 1 3 3 1 3

LO6 5 4 5 5 5 1 1 1 4 3 1 4

LO7 3 2 3 4 5 1 1 1 4 3 1 2


COURSE INFORMATION

Department Prerequisites/Requirements for Admission

Not Available

Mode of delivery Lecture, presentation, demonstration Course coordinator Course lecturer(s) Bilge GÜLER , Prof. Dr. Ertuğrul Yaman Course assistant(s) -

Course description/aim The aim of this course is to make students understand, comment and analyze the principles based on Turkish language

Course contents

Description of Language, Features of Language, Relation of language, Nation, Idea and Relation of Language and Culture, Languages on earth, Historical development of Turkish, The place of Turkish among the other languages and interaction with the other languages, Language revolution of Atatürk, Language understanding of Atatürk and his works related to language, Sound features of Turkish, Orthography and punctuation marks, lexical item.

Recommended optional program components

-

Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are accepted as unsuccessful



Methods/Techniques


Students will be able to: 1. Define the language and it’s components Lecture, question and

answer Written exam

2. Interpret the place of Turkish among the other languages and explain its development.

Lecture, question and

answer

Written exam

3. Interpret the effects of other languages on Turkish and analyze it.


answer

Written exam

4. Explain the importance and meaning of language revolution.


answer

Written exam

5. Evaluate the sound features of Turkish, the importance and place of using orthography and punctuation marks on language


answer

Written exam

Course

Code TUR101

Course

Name TURKISH LANGUAGE I

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor 1 Turkish 2 0 - 2 2

COURSE INFORMATION



Resource(s)

Time

(Hours)

1 Description of Language Textbook /Lecture

notes 2

2 Features of Language Textbook /Lecture

notes 2

3 Relation of Language, Nation, Idea Textbook /Lecture

notes 2

4 Relation of Language and Culture Textbook /Lecture

notes 2

5 Languages on earth Textbook /Lecture

notes 2

6 Historical development of Turkish Textbook /Lecture

notes 2


notes 2

8 Midterm Textbook /Lecture

notes 2

9 The place of Turkish among the other languages and interaction with the other languages

Textbook /Lecture notes

2

10 Language revolution of Atatürk Textbook /Lecture

notes 2

11 Language understanding of Atatürk and his works related to language


2



2

13 Sound features of Turkish Textbook /Lecture

notes 2

14 Orthography and punctuation marks, lexical item Textbook /Lecture

notes 2


notes 2


notes 2

17 Final Exam

Sources

Course notes/textbooks

: Visual and audial materials published by Turkish Language Association

Readings : Supplemental readings

:

References :

Evaluation System


Attendance Quizzes Homework

COURSE INFORMATION

Presentation Laboratory/Practice Report(s) Graduate Thesis/Project Seminar Projects Midterm exam(s) 1 40 Others Final exam 1 60

Total 100 Percentage of semester work 40

Percentage of final exam 60 Total 100

Workload


Class Duration 14 2 28 Individual Study 10 1 10 Midterm(s) 1 2 2 Final 1 2 2 Individual Study for Projects

Individual Study for Midterm(s)

2 2 4

Individual Study for Final 2 2 4 Total 50

ECTS (Total/25.5) 2



LO1 1 3 3 1 1 1 1 1 1 4 1 4

LO2 1 3 2 1 1 1 1 1 1 4 1 4

LO3 1 4 3 1 1 1 1 1 1 3 1 4

LO4 1 5 3 1 1 1 1 1 1 4 1 5

LO5 1 5 3 1 1 1 1 1 1 4 1 5

Contrubition level : 1 Lowest, 2 Low, 3 Average , 4 High, 5 Highest

COURSE INFORMATION

Department Prerequisites/Requirements for Admission

Not Available

Mode of delivery Face to Face Course coordinator - Course lecturer(s) Bilge GÜLER, Prof. Dr. Ertuğrul Yaman Course assistant(s) -

Course description/aim The aim of this course is to make students understand, comment and analyse on principles based on Turkish language

Course contents

Description of Language, Features of Language, Relation of Language, Nation, Idea and Relation of Language and Culture, Languages on earth, Historical development of Turkish, The place of Turkish among the other languages and interaction with the other languages, Language revolution of Atatürk, Language understanding of Atatürk and his works related to language, Sound features of Turkish, Orthography and punctuation marks, lexical item.


Compulsory Attendance Compulsory / Those students who do not attend the 30% of the lessons are accepted as unsuccessful



Methods/Techniques


Students will be able to: 1. Describe the language and the components

of it. Lecture, Question and

answer Written exam

2. Interpret the place of Turkish among the other languages and explain its development.

Lecture, Question and answer

Written exam

3. Interpret the effects of other languages on Turkish and analyze it.

lecture, Question and answer, Discussion

Written exam

4. Explain the importance and meaning of language revolution.


Written exam

5. Evaluate the sound features of Turkish, the importance and place of using orthography and punctuation marks on language.


Written exam



Resource(s)

Time

(Hours)

1 Description of Language Textbook /Lecture

notes 2

Course

Code TUR102

Course

Name Turkish Language 2

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor 2 Turkish 2 0 - 2 2

COURSE INFORMATION

2 Features of Language Textbook /Lecture

notes 2

3 Relation of Language, Nation, Idea Textbook /Lecture

notes 2

4 Relation of Language and Culture Textbook /Lecture

notes 2

5 Languages on earth Textbook /Lecture

notes 2

6 Historical development of Turkish Textbook /Lecture

notes 2


notes 2

8 Midterm exam Textbook /Lecture

notes 2

9 The place of Turkish among the other languages and interaction with the other languages


2

10 Language revolution of Atatürk Textbook /Lecture

notes 2



2



2

13 Sound features of Turkish Textbook /Lecture

notes 2

14 Orthography and punctuation marks, lexical item Textbook /Lecture

notes 2


notes 2


notes 2

17 Final Exam Sources


: Visual and audial materials published by Turkish Language Association

Readings : Supplemental readings

:

References :

Evaluation System


Attendance Quizzes Homework Presentation Laboratory/Practice Report(s) Graduate Thesis/Project Seminar Projects Midterm exam(s) 1 40

COURSE INFORMATION

Others Final exam 1 60



Workload


Class Duration 14 2 28 Midterm(s) 1 2 2 Final 1 2 2 Individual Study for Midterm(s)

4 2 8

Individual Study for Final 3 3 9 Total 49

ECTS (Total/25.5) 2



LO1 1 3 3 1 1 1 1 1 1 4 1 4

LO2 1 3 2 1 1 1 1 1 1 4 1 4

LO3 1 4 3 1 1 1 1 1 1 3 1 4

LO4 1 5 3 1 1 1 1 1 1 4 1 5

LO5 1 5 3 1 1 1 1 1 1 4 1 5

Contrubition level: 1 Lowest, 2 Low, 3 Average , 4 High, 5 Highest

COURSE INFORMATION

1




Mode of delivery : Face to face lectures


Course lecturer(s) : Assistant Prof. Dr. Burak Başaran



Combination of Materials Sci. and Manufacturing Methods with an emphasis on

mechatronics applications.

At the end of this course, the students will have working knowledge about the

structure, synthesis and applications of various engineering materials including metals

and their alloys, polymers, ceramics and composites. Students will also acquire

working knowledge on traditional manufacturing methods such as casting, forming,

shaping, joining, machine tools and machining of metals and their alloys.

Course contents

Materials Sci. portion covers: Intro and type of engineering materials, Atomic

structure and bonding, Crystal and amorphous materials, Solidification and crystalline

imperfections, Mechanical Properties of Metals (process, stress/strain diagram and

tensile test, hardness, plastic deformation, Strengthening mechanisms, Recovery and

Recrystallization, Fracture, Fatigue, Creep), Phase diagrams, Engineering alloys

(types of Iron and steel, iron/carbon system, heat treatment, aluminum, copper,

magnesium, titanium, nickel), Polymers, Ceramics, Composites, Electronic materials,

Magnetic materials, Photonic materials.

Manufacturing Methods portion covers: Intro, metal casting, forming and shaping

(rolling, forging, extrusion, sheet metal, powder metallurgy, ceramics, plastics,

composites), rapid prototyping, fundamentals of machining processes and machine

tools, micro-manufacturing and fabrication of microelectronic devices (MEMS),

joining processes, surface technology, automation of manufacturing processes and

operations, introductory CAM and computer integrated manufacturing systems.





Learning outcome Teaching Methods/Techniques Assessment method(s)

1. A good understanding of the

atomic structure and how it

constitutes various engineering

materials and the physical

microstructure/property

relationship

Face to face lecturing, reading

assignments, group research

assignments, in-class group

discussions

Quizzes, homeworks, one or more

group projects and their in-class

presentation


meaning and importance of

mechanical properties of metals






presentation

Course

Code MCH 202

Course

Name

Materials Science & Manufacturing Methods in Mechatronics

Engineering

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2

in different working

environments and how to

assess them by standard test

methods

discussions

3. Working knowledge in design

of metallic alloys through use

of phase diagrams




discussions



presentation

4. Working knowledge on

properties and use of polymers,

ceramics, composites,

electronic materials, magnetic

materials and photonic

materials in engineering

applications




discussions



presentation

5. Working knowledge on metal

casting, forming and shaping

processes




discussions



presentation


machining processes and machine

tools




discussions



presentation

7. Working knowledge on MEMS

and their fabrication methods




discussions



presentation

8. Working knowledge on joining

processes and related equipment




discussions



presentation

9. A good understanding of surface

technology, its importance in

product design and its relationship

with various manufacturing

techniques




discussions



presentation

10. An introduction to computer

integrated manufacturing and

related systems




discussions



presentation



Resource(s)

Time

(Hours)

1 Intro and type of engineering materials, Atomic structure and

bonding, Crystal and amorphous materials

Textbook/Lecture

Notes/Supplemental

website of textbook

4

2 Solidification and crystalline imperfections

Textbook/Lecture

Notes/Supplemental

website of textbook

4

3 Mechanical Properties of Metals (process, stress/strain

diagram and tensile test, hardness, plastic deformation,

Textbook/Lecture

Notes/Supplemental

4

COURSE INFORMATION

3

Strengthening mechanisms, Recovery and Recrystallization,

Fracture, Fatigue, Creep)

website of textbook

3’ Lab test: Tension-Compression 2

4

Mechanical Properties of Metals (process, stress/strain




Textbook/Lecture

Textbook/Lecture

Notes/Supplemental

website of textbook

4

4’ Lab test: Torsion 2

5

Phase diagrams, Engineering alloys (types of Iron and steel,

iron/carbon system, heat treatment, aluminum, copper,

magnesium, titanium, nickel)

Textbook/Lecture

Notes/Supplemental

website of textbook

4

5’ Lab test: Hardness 2

6




Textbook/Lecture

Notes/Supplemental

website of textbook

4

7 Midterm exam 3

8 Polymers, Ceramics, Composites, Electronic materials,


Textbook/Lecture

Notes/Supplemental

website of textbook

4

9

Intro, metal casting, forming and shaping (rolling, forging,

extrusion, sheet metal, powder metallurgy, ceramics,

plastics, composites)

Textbook/Lecture

Notes/Supplemental

website of textbook

4

10




Textbook/Lecture

Notes/Supplemental

website of textbook

4

11 Rapid prototyping, fundamentals of machining processes and

machine tools

Textbook/Lecture

Notes/Supplemental

website of textbook

4

12 Fundamentals of machining processes and machine tools

Textbook/Lecture

Notes/Supplemental

website of textbook

4

12’ Lab application: Turning, milling 2

13 Micro-manufacturing and fabrication of microelectronic

devices (MEMS)

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14 Joining processes, Surface technology

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14’ Lab application: Arc welding, TIG/MIG welding, brazing 2

15 Automation of manufacturing processes and operations,

CAM and computer integrated manufacturing systems.

Textbook/Lecture

Notes/Supplemental

website of textbook

4

15’ Lab application: CNC programing and rapid prototyping 2

16 Final exam 3

17 Final exam

COURSE INFORMATION

4

Sources

Course

notes/textbooks

: “Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,

Pearson/Prentice Hall; 6th SI ed, 2010, ISBN 978-981-06-8144-9

Readings : Chapters as assigned from the textbook

Supplemental

readings : “The Science & Engineering of Materials”, by D.R. Askeland, P.P. Fulay & W.J. Wright,

Cengage; 6th ed, 2011, ISBN 978-0-495-29602-7

References

: “Engineering Materials I”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;

4th ed, 2012, ISBN 978-0-08-096665-6

Engineering Materials II”, by M.F. Ashby & D.R.H. Jones, Butterworth-Heinemann Elsevier;

4th ed, 2012, ISBN 978-0-08-096668-7

“Materials Selection in Mechanical Design”, by M.F. Ashby, Butterworth-Heinemann Elsevier;

4th ed, 2011, ISBN 978-1-85617-663-7

Evaluation System


Attendance 42

Quizzes 6 5%

Homework 10 10%

Laboratory/Practice 6 15%

Report(s)


Seminar

Presentation

Projects

Midterm exam(s) 1 30%

Others

Final exam 1 40%

Total 100



Total 100

COURSE INFORMATION

5



Course lecture hours 14 4 56

Course lab hours 6 2 12


Final exam 1 3 3


homework 10 3 30


presentation 0 0 0


project 0 0 0




exam 1 29 29

Total 153




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3

Contribution Level 1,2,3,4,5 Lowest to Highest

COURSE INFORMATION

1









: At the end of this course the students; will be competent in the language of technical

drawing, will have an in depth understanding of computer aided design techniques

and the related CAD software in mechanical components and their assemblies, will

have the basic and required ability to communicate through free hand sketching, will

have a good command of international codes and standards in mechanical design,

know how to model and assembly working models of mechanisms and carry out

basic kinematic analysis, know how to document and present their work efficiently,

integrate their technical knowledge and skills acquired in the course of their education

through ethical principles, understand the principles of engineering project

management.

Course contents

: A combination of technical drawing and computer aided electro-mechanical systems

design.

Classical technical drawing portion covers: Fundamentals of graphic language for

design, technical sketching and related techniques, orthographic projection, partial

views, section views, auxiliary views, dimensioning, tolerancing, representation of

machine elements (threads, fasteners, springs, gears, cams, etc.), working drawings,

axonometric projection, perspective drawings, electronic drawings, free hand

sketching.

CAD portion covers: Fundamentals of mechanical components (machine elements)

and systems design (3D modeling) by SolidWorks to include mechanical assemblies,

mechanism design and kinematic analysis, 2D detailed technical drafting by

SolidWorks and practice of geometric tolerances and surface quality markings,

electronic schematic diagrams and PCB design by a specialized computer package.




Course

Code MCH 203

Course

Name Elements of Design for Mechatronics Engineering I

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2




principles of “mechanical

engineering design process” in

mechatronics applications


assignments, lab practice,

homeworks, group and individual

project(s)

Quizzes, homeworks, projects,

hand written and computer based

exams

2. Working in-depth knowledge in

the language of technical drawing




project(s)



exams


the related CAD software




project(s)



exams


state-of-the-art industrial practices

of mechanical, materials and

manufacturing standards and their

use in detailed technical drawings




project(s)



exams

5. Basic ability to realize perspective

and orthographic view free hand

sketching of common geometries

and standard machine elements




project(s)



exams

6. Competence in the use of state-of-

the-art CAD/CAM/CAE tools for

embodiment and detailed design

through intense modeling and

simulation efforts




project(s)



exams

7. Conforming to team work

environment




project(s)



exams

8. Acquiring of project management

skills




project(s)



exams

9. Acquiring of effective technical

communication and presentation

skills




project(s)



exams

COURSE INFORMATION

3



Resource(s)

Time

(Hours)

1

Chp1: Introduction to language of technical drawing and

mechanical design process

� Reading assignment for QUIZ

Textbook/Lecture

Notes

4

1’ Introduction to SolidWorks user interface and 3D modeling by

extrusion

Textbook/Supplemental

books/Internet

2

2 Chp2: Projections, types of lines, scales in drawing, intro to hand

sketching and the common tools

Textbook/Lecture

Notes

4

2’ 3D model by revolution Textbook/Lecture

Notes

2

3

Chp3: Types of solid objects, edge & vertex, types of lines, angles,

four types of projection, isometric & oblique free hand sketching,

2D free hand sketching

Textbook/Lecture

Notes

4

3’ Additional part modeling techniques; mirroring, patterning Textbook/Lecture

Notes

2

4 Chp4: Geometry review, formal techniques to use hand sketching

tools effectively, 2D formal sketching

Textbook/Lecture

Notes

4

4’ Advanced part modeling; loft, shell, sweep, helix Textbook/Lecture

Notes

2

5 Chp5: Orthographic projection Textbook/Lecture

Notes

4

5’ Parametric modeling techniques Textbook/Lecture

Notes

2

6 Chp6: 2D drawings, common hole features Textbook/Lecture

Notes

4

6’ Creation of assembly models, Hole Wizard Textbook/Lecture

Notes

2

*** Announcement of individual or group project guidelines

7 Midterm exam 3

7’ Students decide on individual or group project and submit

proposal to instructor

8 Chp7: Section views

Chp8: Auxiliary views

Textbook/Lecture

Notes

4

8’ Advanced assembly operations Textbook/Lecture

Notes

2

*** Chp9: Manufacturing processes

� Reading assignment for QUIZ

Textbook/Lecture

Notes

9 Chp10: Dimensioning (real parts display from industry for surface

roughness)

Textbook/Lecture

Notes

4

9’ 2D engineering drawing generation in SolidWorks Textbook/Lecture

Notes

2

10 Chp11: Tolerancing (real parts display from industry for fitting

systems)

Textbook/Lecture

Notes

4

10’ Assembly drawings, BOM generation Textbook/Lecture

Notes

2

11 Chp13: Working drawings (intro to Certified SolidWorks

Associate Exam)

Textbook/Lecture

Notes

4

11’ Solution of vector problems using SolidWorks Textbook/Lecture

Notes

2

12 Chp12: Threads (bolt & nut hand sketching), Fasteners, Springs Textbook/Lecture 4

COURSE INFORMATION

4

(real parts display from industry) Notes

12’ Analysis of mechanisms using motion simulation Textbook/Lecture

Notes

2

13 Chp12: Threads (bolt & nut hand sketching), Fasteners, Springs

(real parts display from industry)

Textbook/Lecture

Notes

4

13’ Working drawings (intro to Certified SolidWorks Associate Exam) Textbook/Lecture

Notes

2

14 Chp17: Gears & Cams (real parts display from industry) Textbook/Lecture

Notes

4

14’ Working drawings (intro to Certified SolidWorks Associate Exam) Textbook/Lecture

Notes

2

15 Chp17: Gears & Cams (real parts display from industry) Textbook/Lecture

Notes

4

15’ *** Submission of project ***

16 Final exam 3

17 Final exam

Sources

Course

notes/textbooks

: “Technical Drawing with Engineering Graphics”, by F.E Giesecke, Pearson, 14th international

ed, 2012, ISBN 978-0-13-272971-0

“Introduction to Solid Modeling Using SolidWorks 2011”, by W.E. Howard & J.C. Musto,

McGraw-Hill, 2012, ISBN 978-0-07-337545-4

Readings : Chapters as assigned from the textbooks

Supplemental

readings

References

:”Engineering Drawing and Design”, by David Madsen, Delmar Cengage Learning; 5th ed,

2011, ISBN 978-1111321833

“Engineering Drawing & Design”, by Cecil Jensen, McGraw-Hill Science/Engineering/Math;

7th ed, 2007, ISBN 978-0073521510

“SolidWorks 2011 for Designers”, by S. Tickoo, CADCIM, 2011, ISBN 978-1-932709-89-6

Evaluation System


Attendance 14

Quizzes 2 5%

Homework 10 15%

Laboratory/Practice 14

Report(s)


Seminar

Presentation

Projects 1 15%


Others

Final exam 1 40%

Total 100

COURSE INFORMATION

5



Total 100






Final exam 1 3 3


homework 10 3 30


presentation 0 0 0


project 1 10 10


midterm exams 1 5 5


exam 1 8 8

Total 153




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION



for Admission : Physics






: Main objective of this course is to give the students an ability to analyze the

mechanical structures in static equilibrium, and to make strength analysis of

mechanical structures under different loading conditions. This course also

aims to introduce students with the mathematical description of the plane

motion of particles and rigid bodies. The relation between force and motion is

studied in detail.

Course contents

: Two main parts; statics and strength of materials. Idealizations and principles

of mechanics and vector quantities are summarized. Classification and

equivalence of force systems, state of equilibrium, elements of structures,

trusses, beams, moment of inertia, and friction are described in the statics part.

Concepts of stress and strain, simple loading; tension, torsion and bending,

deflections with simple loadings, and superposition techniques are described in

the strength of materials part. Statically indeterminate members, thermal

stresses, combined stresses, Mohr's circle, and combined loadings.

Two main sections of dynamics; Particles and Rigid Bodies are described with

respect to planar motions. Each section has two parts; kinematics and kinetics.

Methods of Newton’s second law, work energy and impulse-momentum are

emphasized.


program components : --




Methods/Techniques



1 Design basic structures/systems which are

under the static equilibrium.


2 Formulate and solve mathematical models of

static structures/systems.


3 Analyze structural and strength components

of all design products including both

conventional and mechatronics.


4 Apply design techniques to create

mechatronic systems


5 Work individually or in a group for solving

mechatronic design problems.


6 Analyze, formulate, and solve engineering Lectures Homeworks and Exams

Course

Code MCH204

Course

Name Engineering Mechanics

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor 4th

English 3 0 0 3 5

COURSE INFORMATION

dynamics problems.

7 Design basic dynamic structures/systems. Lectures Homeworks and Exams

8 Understand the relation between force and

motion to become familiar with the basic

mathematical concepts such as integration

and differentiation.


9 Understand basic principles of dynamics prior

to machine design courses.




Resource(s)

Time

(Hours)

1 Idealizations and principles of mechanics 3

2 Vectors and vector operations 3

3 Classification and equivalence of force systems 3

4 Moment of inertia 3

5 Friction 3

6 Concepts of stress and strain 3

7 Simple loading; tension, torsion and bending 3


9 Statically indeterminate members 3

10 Thermal stresses 3

11 Mohr’s circle 3

12 Newton’s Law of Motion 3

13 Work and Energy 3

14 Impulse and Momentum 3

15 Dynamics of Rigid Bodies 3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: Engineering Mechanics: Statics and Dynamics, J. Lakshminarasimhan, Raju

Sethuraman, 2004., and Lecture Notes.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


COURSE INFORMATION

Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 3 12


Final exam 1 4 4


homework 6 5 30




exam 6 4 24

Total 127




LO1 4 3 3 3 4 4 4 1 4 3 3 2

LO2 4 3 4 4 4 5 3 2 3 3 3 3

LO3 5 4 5 5 5 5 4 1 4 3 3 4

LO4 3 2 3 4 5 3 3 1 4 3 3 2

LO5 3 3 5 4 4 4 3 1 4 3 3 2

LO6 3 3 4 5 5 3 3 1 3 3 3 3

LO7 3 3 4 4 4 5 4 2 3 3 3 3

LO8 5 3 3 3 3 3 4 2 3 4 4 4

LO9 5 3 4 3 3 3 4 2 3 4 3 3


COURSE INFORMATION

Department : Aeronautical Engineering Prerequisites/Requirements for Admission

: None

Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : None

Course description/aim : In this course, basic principles of fluid mechanics, fundamental conservation laws and types of fluid flow are covered.

Course contents :Introduction, Fluid Statics, Fluid Kinematics, Governing Integral Equations of Fluid Flow, Governing Differential Equations of Fluid Flow, Fluid Flow in Pipes


: None

Attendance : Compulsory



1. Knowledge of fluid concept and classification of the flow types should be gained

Lectures Standardized Examinations, Short Examinations

2. Calculating the hydrostatic forces and moments over submerged bodies


3. Understanding the conservation laws of fluid flow


4. Understanding the control volume concept and Reynold’s transport theorem


5. Basic knowledge of moody diagrams and pipes flow equations should be learned.




Resource(s)

Time

(Hours)

1 Introduction: Definitions, Dimensions and units, Fluid as a continuum, Fluid properties, Newtonian fluids, Standard atmosphere

Lecture Notes and Textbook

3

2 Fluid Statics: Equation for pressure field Measurement of fluid pressure


3

3 Fluid Statics: Lecture Notes and 3

Course

Code AEE 204

Course

Name Introduction to Fluid Mechanics

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Undergraduate 4 English 3 0 0 3 6

COURSE INFORMATION

Hydrostatic pressure Textbook

4 Fluid Statics: Buoyancy, floatation and stability


3

5 Fluid Statics: Fluid in rigid body motion


3

6 Governing Integral Equations of Fluid Flow: Closed and Open Systems Reynolds Transport Theorem


3

7 Governing Integral Equations of Fluid Flow: Conservation of Mass Conservation of Linear Momentum


3

8 Midterm Exam

9 Governing Integral Equations of Fluid Flow: Conservation of Angular Momentum Conservation of Energy


3

10 Governing Integral Equations of Fluid Flow: Bernoulli Equation Static, stagnation, dynamic and total pressure


3

11 Governing Differential Equations of Fluid Flow: Conservation of Mass


3

12 Governing Differential Equations of Fluid Flow: Navier-Stokes Equations


3

13 Governing Differential Equations of Fluid Flow: Couette Flow Poiseuille Flow


3

14 Fluid Flow in Pipes: Turbulance Friction Factor and Moody Charts


3

15 Fluid Flow in Pipes: Losses in Pipe Systems


3

16 Final Exam 3 17 Final Exam

Sources


: Y.A. Cengel and J. Cimbala, “Fluid Mechanics: Fundamentals and Applications”, McGraw Hill Higher Education, 2010.

Readings : Internet research is strongly recommended. Supplemental readings

: None

References : None

Evaluation System


Attendance Quizzes 5 10 Homework 7 15 Laboratory/Practice Report(s) Graduate Thesis/Project

COURSE INFORMATION

Seminar Presentation Projects Midterm exam(s) 1 30 Others Final exam 1 45





Course hours 14 3 42 Midterm exam(s) 1 3 3 Final exam 1 3 3 Individual study for homework

6 6 36

Individual study for presentation

Individual study for project

Individual study for midterm exams

5 4 20

Individual study for final exam

6 8 48

Total 152 ECTS Credit(Total/25.5) 6



LO1 2 4 1 3 2 5 1 3 1 1 3 5

LO2 3 4 1 1 1 5 1 3 1 1 3 5

LO3 3 4 3 4 2 5 1 3 1 1 3 5

LO4 4 5 3 1 1 5 1 3 1 1 3 5

LO5 3 4 5 1 2 5 1 3 1 1 3 5


COURSE INFORMATION



for Admission :






: The objective of this course is to teach students the notion of an abstract data type

(ADT) which is central to the design and analysis of computer algorithms. This

course introduces abstract data types, and presents algorithms and data structures for

implementing several ADTs. It emphasizes the efficiency of algorithms as evaluated

by asymptotic analysis of running time.

Course contents : The course covers algorithm analysis, linear data structures, trees, priority queues,

hashes, graphs






Methods/Techniques


Students will be able:

1 be able to examine the loop structures of either a

recursive or nonrecursive algorithms and infer its

asymptotic running time and express its efficiency

using big-Oh notation

Lectures Quizes, Homeworks,

Exams

2 be able to assess the relative advantages of using

array or linked list implementations in efficiently

solving search problems with concurrent

insertion, and/or deletions on collections of data,

design


Exams

3 be able to implement efficient computer programs

running at the cost of O (log n) per searching,

insertion and/or deletion of data items by

employing correct variants of tree data structures

covered in the course


Exams

4 be able to develop efficient applications that

require an order on data items by appropriately

selecting the right sorting algorithm


Exams

5 be able to describe the usage of various data

structures Lectures Quizes, Homeworks,

Exams

6 be able to explain the operations for maintaining

common data structures Lectures Quizes, Homeworks,

Exams

Course

Code COM201

Course

Name Algorithms and Data Structures I

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

7 be able to design and apply appropriate data

structures for solving computing problems Lectures Quizes, Homeworks,

Exams

8 be able to design simple algorithms for solving

computing problems Lectures Quizes, Homeworks,

Exams



Resource(s)

Time

(Hours)

1 Introduction to Data Structures Algorithm Analysis

Techniques Asymptotic Notations

Textbook/ Course

Notes

3

2 Arrays and Simple Sorting Algorithms: Bubble Sort, Selection

Sort, Insertion Sort

Textbook/ Course

Notes

3

3 Recursive Algorithm Design and Analysis Textbook/ Course

Notes

3

4 Abstract Data Types Arrays and Contiguous Allocation Textbook/ Course

Notes

3

5 Linked Lists and Dynamic Allocation Textbook/ Course

Notes

3

6 Stacks and Queues Textbook/ Course

Notes

3

7 Application of Stacks and Queues: Expression Evaluation Textbook/ Course

Notes

3

8 Midterm Exam Textbook/ Course

Notes

2

9 Introduction to Trees Binary Trees - Representation and

Traversal

Textbook/ Course

Notes

3

10 Binary Search Trees Textbook/ Course

Notes

3

11 Balanced Search Trees Textbook/ Course

Notes

3

12 Tables and Priority Queues Textbook/ Course

Notes

3

13 Hashing Textbook/ Course

Notes

3

14 Graphs Textbook/ Course

Notes

3

15 Graph Traversals Textbook/ Course

Notes

3

16 Final Textbook/ Course

Notes

2

17 Final

Sources

Course

notes/textbooks

: Carrano, F. M., Data Abstraction & Problem Solving with C++: International

Edition, 5/e, Pearson, 2007.

Readings :

Supplemental : Deitel, P., Deitel, H., C++ How to program: International Edition, 8/e, Prentice Hall,

COURSE INFORMATION

readings 2012.

References :

Evaluation System


Attendance

Quizzes 5 10

Homework 5 20

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 40

Total 100



Total 100





course 10 3 30


Final exam 1 2 2


homework 5 4 20




exam 3 4 12

Total 124




LO1 2 2 2 4 5 4 2 3 5 5 3 4

LO2 3 2 4 3 3 2 2 2 3 2 3 2

LO3 2 3 2 3 2 4 4 3 2 3 2 3

LO4 2 5 2 2 3 2 4 4 4 2 4 4

LO5 2 4 5 4 3 3 2 2 4 3 3 3

LO6 3 2 4 3 3 2 2 2 3 2 3 2

LO7 2 3 2 3 2 4 4 3 2 3 2 3

LO8 2 5 2 2 3 2 2 4 2 2 2 3

COURSE INFORMATION


COURSE INFORMATION









: Aim of this course is to introduce basic algorithms, algorithm analysis, and

complex data structures. The course covers basic algorithms such as sorting,

hashing, trees, search trees and graphs.

Course contents : Algorithm analysis, sorting algorithms, trees and specialized trees (e.g.

search trees and binary trees), priority queues and heaps, graphs and hashing






Methods/Techniques


Students will be able to

1 Analyze complex algorithms using

asymptotic notation

Lectures Homework, Quizzes,

Exams

2 Will be proficient at analyzing sorting

algorithms


Exams

3 Apply complex data structures to their

programs\projects


Exams

4 Approximate running times of programs that

consists of complex data structures


Exams

5 Apply graph-based solutions to complex

problems


Exams



Resource(s)

Time

(Hours)

1 Algorithm analysis (Asymptotic Notation ) Course Book &

Notes

3

2 Algorithm analysis (Amortized Analysis) Course Book &

Notes

3

3 Sorting (Bubble sort, Quicksort, Mergesort) Course Book &

Notes

3

4 Sorting (Sorting in Linear Time) Course Book &

Notes

3

5 Trees (Basic Trees, Binary Trees, Search Trees) Course Book & 3

Course

Code COM202

Course

Name Algorithms and Data Structures II

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

6 Trees (Red-Black Trees, A and A+ trees) Course Book &

Notes

3

7 Queues Course Book &

Notes

3

8 Midterm Exam 2

9 Heaps Course Book &

Notes

3

10 Balanced search Trees Course Book &

Notes

3

11 Graphs (Basics of Graphs) Course Book &

Notes

3

12 Graphs (Graph Theory and analysis) Course Book &

Notes

3

13 Recitation Course Book &

Notes

3

14 Hashing (Basic) Course Book &

Notes

3

15 Hashing (Practical hashing applications) Course Book &

Notes

3

16 Final Exam 2

17 Final Exam

Sources

Course

notes/textbooks

: Carrano, F. M., Data Abstraction & Problem Solving with C++: International

Edition, 5/e, Pearson, 2007.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 5 10

Homework 5 20

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 40

Total 100



COURSE INFORMATION

Total 100





course 14 3 42


Final exam 1 2 2


homework 5 6 30




exam 4 5 20

Total 150




LO1 4 2 2 3 3 4 5 2 2 2 4 2

LO2 3 2 2 2 3 3 3 3 2 2 3 3

LO3 5 3 3 2 5 2 3 3 3 3 5 2

LO4 4 2 2 3 4 2 2 2 4 3 4 3

LO5 5 2 2 2 5 4 4 3 5 4 5 3


COURSE INFORMATION



for Admission :






: The aim of this course, to provide students’ knowledge about inheritance,

polymorphism and interfaces in accordance with developing effective and

flexible object-oriented software, to teach them how to perform unit tests for

object-oriented software, and to help them use object-oriented design patterns

in object-oriented software solutions.

Course contents

: Foundations of Object-Oriented Software Development. Object-Oriented

Modeling using UML (Unified Modeling Language), Overview of the Java

Language. Inheritance, polymorphism and Interfaces. Transition from basic

structures to Easy To Maintain Software,. Implementation of unit tests. Design

Patterns. Real-time programming. An Integrated Case Study.






Methods/Techniques



1 understand the basic structures for expressing

problem solutions in object-oriented approach


project

2 express object-oriented solutions in a standard

notation


project

3 produce flexible object-oriented solutions

using inheritance, polymorphism, and

interfaces effectively


project

4 choose the most effective object-oriented

solution to a problem


project

5 perform unit testing of object-oriented

solutions


project

6 understand and apply the basic concepts of

design patterns


project

7 choose the most appropriate design patterns

for expressing the object-oriented solution


project

8 apply what they have learned in job-oriented

problems


project

9 prepare detailed technical reports covering all

phases from the solution of problems in

object-oriented way to testing


project

Course

Code COM203

Course

Name Object-Oriented Design and Programming

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION



Resource(s)

Time

(Hours)

1

Foundations of Object-Oriented Software Development:

Software development problems. Contribution of object-

oriented solutions to software development. Overview of

object-oriented software development process.

Textbook 3

2

Object-Oriented Modeling Using UML: Basic principles,

concepts and structures of the Object-oriented modeling. The

most commonly used UML notations: use case, class, object

and successor-interaction diagrams. A case study on object-

oriented modeling.

Textbook 3

3

Java Language Overview: Flow control, classes, objects,

object creation and constructivist methods, arrays, the

container classes.

Textbook 3

4

Inheritance, polymorphism, and Interfaces: inheritance,

abstract classes, sub-type super-type relations and

polymorphism, multi-format assignments, interfaces.

Textbook 3

5

Implementation of the selected case studies involving the use

of inheritance, polymorphism, and interfaces with the Java

language.

Textbook 3

6

Transitions from Basic Structures to easy to maintenance

software: Object-oriented coding and documentation

standards. Contracts and constants. Assertions. Canonical

forms of the classes.

Textbook 3

7 Implementation Unit Tests: Object-oriented handling of

exceptions. Unit testing and JUnit implementation tool.

Textbook 3

8 Midterm Exam 2

9

Design Patterns: Introduction to design patterns. The

classification of design patterns. Introduction of sampled

"Abstract Factory", "Factory Method" and "singleton" patterns

with examples.

Textbook 3

10 Design Patterns: Introduction of "Prototype", "Builder" and

"Observer" patterns with examples.

Textbook 3

11 Introduction of "Command", "Adapter" and "Composite"

patterns with examples.

Textbook 3

12

Design Patterns: the concept of refactoring and transition to

the "Template Method" pattern. Introduction of "Strategy"

pattern with examples. Abstract coupling), and introduction to

"Iterator" pattern.

Textbook 3

13 Design Patterns: the analysis of "Visitor" and "Mediator"

patterns. Overview of other patterns in design pattern catalog.

Textbook 3

14

Real-Time Programming: Thread concept. Defining threads in

Java language, and multi-threaded programming. Thread

synchronization and locks.

Textbook 3

15

A Composite Case-Study: Analysis of the object-oriented

development and pattern applications within the scope of an

example, evaluation of projects.

Textbook 3

16 Final Exam 2

17 Final Exam

COURSE INFORMATION

Sources

Course

notes/textbooks : Object-Oriented Design and Patterns, Horstmann, 2/E, Wiley

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 5 5

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects 1 25


Others

Final exam 1 40

Total 100



Total 100





course 14 2 28


Final exam 1 2 2


project 4 3 12




exam 6 4 24

Total 126


COURSE INFORMATION



LO1 4 2 3 2 4 2 3 3 2 4 3 2

LO2 3 2 3 2 3 2 4 3 2 4 1 2

LO3 4 2 4 3 4 2 3 3 2 1 4 3

LO4 4 3 4 3 5 2 4 2 2 4 3 3

LO5 3 4 4 2 4 3 3 2 2 1 3 4

LO6 3 3 3 2 3 2 4 4 3 1 3 3

LO7 4 2 3 3 3 2 4 3 3 2 3 3

LO8 5 2 2 4 4 3 3 2 3 3 4 3

LO9 4 3 3 4 4 3 3 3 3 1 3 2


COURSE INFORMATION

Department : Electrical and Electronics Engineering







Course description/aim : This course presents the mathematical techniques used in analyzing ac and dc

circuits which will be fundamentals in electronics and systems and control courses.

Course contents

: Mesh and node analysis, energy and power concepts, superposition, source

transformations, mutual inductance, operational amplifiers, zero-state and

zero-input solutions of first and second order circuits, state equations, analysis

of RLC circuits, sinusoidal current and voltage, phasors, power, resonance,

transformators, convolution.






Methods/Techniques



1 Understand the basic techniques required to

analyze linear circuits


Discussion

Midterm and Final

Exams

2 Learn the basic linear components in

electronics (resistors, capacitors, inductors,

transformators, and dependent sources)


Discussion

Midterm and Final

Exams

3 Learn the concepts of steady-state and

transient responses


Discussion

Midterm and Final

Exams

4 Understand the frequency response of a

circuit


Discussion

Midterm and Final

Exams

5 Gain the ability to construct state equations

for different topologies


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Basic concepts Textbook/ Lecture

Notes

4

2 Mesh and node analysis Textbook/ Lecture

Notes

4

3 Superposition and source transformations Textbook/ Lecture

Notes

4

Course

Code EEE201

Course

Name Circuit Theory

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Undergrad 3 English 4 0 0 4 6

COURSE INFORMATION

4 Mutual inductance Textbook/ Lecture

Notes

4

5 Operational amplifiers Textbook/ Lecture

Notes

4

6 RL and RC circuits, forced and natural responses Textbook/ Lecture

Notes

4

7 Dynamic responses in circuits with multiple nodes and meshes Textbook/ Lecture

Notes

4

8 Midterm Exam 2

9 State equations Textbook/ Lecture

Notes

4

10 Solution of first order circuits in state space Textbook/ Lecture

Notes

4

11 Analysis of RLC circuits Textbook/ Lecture

Notes

4

12 Sinusoidal current and voltage, phasors Textbook/ Lecture

Notes

4

13 Power analysis and transformators Textbook/ Lecture

Notes

4

14 Topological concepts Textbook/ Lecture

Notes

4

15 Resonance, convolution Textbook/ Lecture

Notes

4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Electric Circuits by James W. Nilsson

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

COURSE INFORMATION

Total 100



Total 100





course 8 4 32


Final exam 1 3 3


homework




exam 6 5 30

Total 153




LO1 5 5 1 1 4 1 1 3 3 1 1 1

LO2 5 5 1 1 5 3 1 3 1 1 1 1

LO3 5 5 1 1 3 3 1 3 2 2 2 2

LO4 5 5 1 1 4 4 1 3 1 1 1 1

LO5 5 5 1 1 3 3 1 3 1 1 1 1


COURSE INFORMATION









: The aim of this course is to teach the working principles of the elementary

semiconductors (diodes and transistors) and basic electronic stages such as power

sources and amplifiers. It is a fundamental course needed for higher level electronic

courses such as VLSI design and nonlinear electronics.

Course contents

: Basic principles of semiconductor devices, bipolar junction transistors (BJT)

and field effect transistors (FET), switching circuits, transistor biasing, single

stage amplifiers, regulators, cascade amplifiers, differential amplifiers,

frequency response, higher frequency models, feedback and stability,

operational amplifiers, noise in electronic circuits, output stages, power

amplifiers.






Methods/Techniques



1 Understand the basic principles of elementary

semiconductor devices


Discussion

Midterm and Final

Exams

2 Gain ability to design and implement basic

electronic circuits


Discussion

Midterm and Final

Exams

3 Understand the concept of noise in electronic

circuits


Discussion

Midterm and Final

Exams

4 Gain ability to improvise new design

techniques


Discussion

Midterm and Final

Exams

5 Be able to follow new technologies in

electronics


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Diodes, small and large signal modeling Textbook/ Lecture

Notes

4

2 Full-wave and half-wave rectifiers, zener diodes, regulators

and limiters

Textbook/ Lecture

Notes

4

Course

Code EEE202

Course

Name Electronic Circuits

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

3 Bipolar junction transistors (BJTs), Ebers-Moll model Textbook/ Lecture

Notes

4

4 Biasing in BJTs, switching circuits Textbook/ Lecture

Notes

4

5 Small signal modeling of BJTs, single stage amplifiers Textbook/ Lecture

Notes

4

6 Basic principles of field effect transistors (FETs) Textbook/ Lecture

Notes

4

7 Biasing of FETs, small signal modeling of FETs Textbook/ Lecture

Notes

4

8 Midterm exam 2

9 Single stage FET amplifiers, cascade amplifiers Textbook/ Lecture

Notes

4

10 Differential amplifiers and current mirrors Textbook/ Lecture

Notes

4

11 Frequency response of electronic circuits Textbook/ Lecture

Notes

4

12 High frequency models and design considerations Textbook/ Lecture

Notes

4

13 Feedback and stability, oscillators Textbook/ Lecture

Notes

4

14 Noise in electronic circuits Textbook/ Lecture

Notes

4

15 Power amplifiers Textbook/ Lecture

Notes

4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Introduction to Electronic Circuit Design by Richard Spencer and Mohammed Ghausi

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


COURSE INFORMATION

Others

Final exam 1 60

Total 100



Total 100





course 6 5 30


Final exam 1 3 3


homework




exam 6 5 30

Total 151




LO1 5 5 1 4 5 3 2 5 2 3 1 5

LO2 5 5 1 4 5 3 2 5 2 3 1 5

LO3 5 5 1 4 5 3 2 5 2 3 1 5

LO4 5 5 1 4 5 3 2 5 2 4 4 5

LO5 5 5 1 4 5 3 2 5 2 4 4 5


COURSE INFORMATION









: This course presents the basic tools for the design of the digital circuits. It is a

fundamental course needed for higher level topics such as microprocessors, computer

architecture, VLSI design, digital communications, and digital control.

Course contents

: Binary logic, Boolean algebra and logic gates, simplification at gate level,

synchronous and asynchronous sequential logic, combinational logic, registers

and counters, random access memory and programmable logic.






Methods/Techniques



1 Gain ability to implement Boolean functions

using logic gates


Discussion

Midterm and Final

Exams

2 Gain ability to design combinational logic

circuits


Discussion

Midterm and Final

Exams

3 Understand basic functions of flip flops Lecture, Lecture with

Discussion

Midterm and Final

Exams

4 Analyze and design clocked sequential logic

circuits


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Binary numbers, decimal codes, alphanumeric codes Textbook/ Lecture

Notes

3

2 Binary codes, binary storage, and binary logic Textbook/ Lecture

Notes

3

3 Basic theorems and properties of Boolean algebra, logic gates Textbook/ Lecture

Notes

3

4 Simplification of Boolean functions, the map method Textbook/ Lecture

Notes

3

5 NAND and NOR implementation and other two-level

implementations

Textbook/ Lecture

Notes

3

Course

Code EEE205

Course

Name Logic Design

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Undergrad 3 English 3 0 2 4 7

COURSE INFORMATION

6 Combinational logic, adders, subtractors Textbook/ Lecture

Notes

3

7 Decoders, encoders, and multiplexers Textbook/ Lecture

Notes

3

8 Midterm Exam 2

9 Read-only memory and programmable logic array Textbook/ Lecture

Notes

3

10 Flip-flops Textbook/ Lecture

Notes

3

11 Analysis of clocked sequential circuits Textbook/ Lecture

Notes

3

12 Registers and counters Textbook/ Lecture

Notes

3

13 Random access memory and memory decoding Textbook/ Lecture

Notes

3

14 Algorithmic state machines Textbook/ Lecture

Notes

3

15 Asynchronous sequential logic Textbook/ Lecture

Notes

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Digital Design by M. Morris Mano

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation


Report(s)


Seminar

Projects


Others

Final exam 1 50

Total 100



Total 100

COURSE INFORMATION




Laboratory hours 6 2 12


course 8 5 40

Individual study for labs 6 5 30


Final exam 1 3 3


homework




exam 6 5 30

Total 179




LO1 5 3 2 4 5 5 3 2 5 2 2 2

LO2 5 3 3 4 5 5 3 2 5 2 2 2

LO3 5 3 2 4 5 5 3 2 5 2 2 3

LO4 5 3 3 4 5 5 3 2 5 2 2 2


COURSE INFORMATION









: The aim of the course is to teach the basic physical concepts of static electric and

magnetic fields as well as time-varying fields and electromagnetic wave propagation.

The course is the most fundamental course in electrical engineering the results of

which are used in circuit theory and electronics. It is also a fundamental course for

higher level courses such as antenna theory and microwaves.

Course contents

: Fundamental mathematical tools for electromagnetic, electrostatics, electrical

potential, capacitors, steady electric currents, resistors, magnetostatics,

inductors, Maxwell’s equations, wave propagation, plane electromagnetic

waves, group velocity, Poynting vector, reflection and refraction of

electromagnetic waves.






Methods/Techniques



1 learn fundamental mathematical tools for

electromagnetic theory.


Discussion

Midterm and Final

Exams

2 understand the basic principles of resistors,

capacitors, and inductors.


Discussion

Midterm and Final

Exams

3 understand the concept of wave propagation. Lecture, Lecture with

Discussion

Midterm and Final

Exams

4 gain insight of how materials behave at high

frequencies.


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Basic vector algebra, orthogonal coordinate systems Textbook/ Lecture

Notes

4

2 Gradient, divergence and curl operators, Gauss and Stoke

theorems

Textbook/ Lecture

Notes

4

3 Static electric fileds, Gauss surfaces Textbook/ Lecture

Notes

4

Course

Code EEE206

Course

Name Electromagnetic Theory

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Undergrad 4 English 4 0 0 4 6

COURSE INFORMATION

4 Electric potential and electrostatic energy, capacitors Textbook/ Lecture

Notes

4

5 Steady electric currents and continuity equation Textbook/ Lecture

Notes

4

6 Static magnetic fields Textbook/ Lecture

Notes

4

7 Vector potential and magnetostatic energy, inductors Textbook/ Lecture

Notes

4

8 Midterm Exam 2

9 Time varying fields and Maxwell’s equations Textbook/ Lecture

Notes

4

10 Wave equations, time-harmonic fields, phasors Textbook/ Lecture

Notes

4

11 Plane electromagnetic waves in free space, TEM waves Textbook/ Lecture

Notes

4

12 Plane waves in lossy media, group velocity Textbook/ Lecture

Notes

4

13 Flow of electromagnetic power and Poynting vector Textbook/ Lecture

Notes

4

14 Reflection of electromagnetic waves from a conducting

surface

Textbook/ Lecture

Notes

4

15 Reflection of electromagnetic waves from a dielectric

boundary, refraction and refraction index

Textbook/ Lecture

Notes

4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Introduction to Electronic Circuit Design by Richard Spencer and Mohammed Ghausi

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

COURSE INFORMATION

Total 100



Total 100





course 10 3 30


Final exam 1 3 3


homework




exam 6 5 30

Total 151




LO1 3 5 1 3 1 1 2 2 2 1 1 1

LO2 2 5 1 1 2 1 2 2 3 2 1 4

LO3 5 3 1 2 1 3 2 2 2 1 2 1

LO4 5 5 1 1 3 1 2 2 4 1 3 4


COURSE INFORMATION

Department : Industrial and Systems Engineering


for Admission : IND 203 Probability Theory



Course lecturer(s) : Dr. G. Sena Daş


Course description/aim : This course aims to introduce the basic concepts of operations research and to

teach the use of these concepts to model real-life problems.

Course contents

: Linear programming, linear programming and modeling. Graphical solution

method and the Simplex algorithm. Sensitivity analysis. Duality and Dual

simplex method. Transportation, assignment and transshipment problems.


program components : -

Compulsory Attendance : Compulsory.


Learning outcome Students will be able to

Teaching

Methods/Techniques

Assessment

method(s)

1 Model a problem using linear programming Lecture, question-answer,

discussion, problem solving

Quiz, homework,

exam

2 Learn and use the basic solution techniques of

linear programming such as Graphical

Solution and the Simplex Algorithm

Lecture, question-answer,


Quiz, homework,

exam

3 Model Transportation, Assignment and

Transshipment problems and solve these

problems by using appropriate optimization

algorithms



Quiz, homework,

exam

4 Learn how to make a business decisions with

a view of optimization



Quiz, homework,

exam

5 Use an appropriate software package to solve

linear programming problems



Quiz, homework,

exam

6 Conduct sensitivity analysis of linear

programming problems



Quiz, homework,

exam

7 Define primary-dual relationship and to make

the economic interpretation of duality



Quiz, homework,

exam



Resource(s)

Time

(Hours)

1 Introduction to Operations Research and Linear Programming,

Modelling

Textbook/ Course

Notes

3

2 Linear Programming Models and Modelling/ Graphical Textbook/ Course 3

Course

Code IND 202

Course

Name Operations Research 1

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Solution Techniques Notes

3 Graphical Solution Techniques/ Simplex Algorithm Textbook/ Course

Notes

3

4 Simplex Algorithm Textbook/ Course

Notes

3


Notes

3


Notes

3

7 Simplex Algorithm/ Sensitivity Analysis Textbook/ Course

Notes

3


Notes

3

9 Duality Textbook/ Course

Notes

3

10 Duality Textbook/ Course

Notes

3

11 Dual Simplex Method/ Sensitivity Analysis Textbook/ Course

Notes

3

12 Sensitivity Analysis- Midterm Exam Textbook/ Course

Notes

3

13 Transportation Problem Textbook/ Course

Notes

3

14 Assignment Problem Textbook/ Course

Notes

3

15 Transshipment Problem Textbook/ Course

Notes

3

16 Final Exam Textbook/ Course

Notes

3


Notes

Sources

Course

notes/textbooks

: Taha, Hamdy A., Operations Research: An Introduction, Eighth Edition, Prentice-Hall

International, Inc., 2007.

Readings : Related articles

Supplemental

readings

: Winston, Wayne L., Operations Research: Applications and Algorithms, Fourth

Edition, Brooks/Cole-Thomson Learning, 2004.

Hillier, Frederick S. and Lieberman, Gerald J., Introduction to Operations Research,

Eighth Edition, McGraw-Hill, 2005.

References :

Evaluation System


Attendance

Quizzes 3 20

Homework 3 10

Presentation

COURSE INFORMATION

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 40

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework 3 3 9


presentation


project


quizzes 3 5 15




exam 1 30 30

Total 154

ECTS Credit(Total/25,5) 6



LO1 3 5 1 5 1 2 1 3 1 1 1 1

LO2 3 5 1 5 1 2 1 3 1 1 1 3

LO3 3 5 2 3 1 2 1 3 1 3 1 1

LO4 3 5 5 5 1 2 1 3 1 3 1 1

LO5 3 5 3 3 1 2 1 3 1 3 3 1

LO6 3 5 3 5 1 2 1 3 1 1 1 2

LO7 3 5 5 3 1 2 1 3 1 1 1 1


COURSE INFORMATION



for Admission :



Course lecturer(s) : Nilgün Ferhatosmanoğlu


Course description/aim : This course provides an elementary introduction to probability.

Course contents

: Mathematical probability. Conditional Probability and independence. Basic

probability models. Random variables; Discrete Random Variables and their

distributions. Continuous Random Variables and their distributions. Joint

Probability Distributions. Expectation. Covariance and Correlation.


program components : -

Compulsory Attendance : Compulsory



Teaching

Methods/Techniques


1 Learn the basic concepts such as conditional

probability, independence, expectation and

variation

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

2 Apply and interpret theorems such as total

probability rule, Bayes' theorem, the

conditional expectation and the central limit

theorem

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

3 Know when to use discrete and continuous

distributions.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

4 Model sources of uncertainty associated with

industrial and systems engineering problems

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

5 Analyze and interpret the results of the

probabilistic models by using probability

theory.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam



Resource(s)

Time

(Hours)

1 Permutations and combinations Textbook/ Course

Notes

3

2 Sample spaces, events and set theory Textbook/ Course

Notes

3

Course

Code IND 203

Course

Name Probability Theory

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

3 Axioms of probability Textbook/ Course

Notes

3

4 Counting Techniques Textbook/ Course

Notes

3

5 Probability, Conditional probability and independence Textbook/ Course

Notes

3

6 Random Variables, Functions of Random Variables Textbook/ Course

Notes

3

7 Discrete random variables, Expectations of discrete random

variables

Textbook/ Course

Notes

3


Notes

3

9 Continuous random variables, Joint probability distributions Textbook/ Course

Notes

3

10 Marginal Distributions Textbook/ Course

Notes

3

11 Conditional Distributions Textbook/ Course

Notes

3

12 Expectation and Conditional expectation Textbook/ Course

Notes

3

13 Moments and moment generating functions Textbook/ Course

Notes

3

14 Covariance and Correlation Textbook/ Course

Notes

3

15 Limit Theorems and Central Limit Theorem Textbook/ Course

Notes

3


Notes

3


Notes

Sources

Course

notes/textbooks

: Douglas C. Montgomery and George C. Runger, Applied Statistics and Probability for

Engineers, 5th edition, Wiley

Readings :

Supplemental

readings

: W.W. Hines, D.C. Montgomery, D.M. Goldsman, C.M. Borror, Probability and

Statistics in Engineering, , 4th Ed., John Wiley & Sons, Inc.

Ross, Sheldon. A First Course in Probability. 8th

ed. Upper Saddle River, Prentice Hall,

2009.

References :

Evaluation System


Attendance 14 5

Quizzes 2 10

Homework 2 10

Presentation

Laboratory/Practice

Report(s)

COURSE INFORMATION


Seminar

Projects 1 20


Others

Final exam 1 30

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework 2 2 4


presentation


project 1 20 20


quizzes 2 2 4




exam 1 25 25

Total 148




LO1 2 1 2 3 2 3 3 3 4 5 2 2

LO2 1 1 3 3 2 2 2 2 4 4 4 3

LO3 2 2 2 2 1 3 1 2 2 1 2 2

LO4 5 5 2 2 2 5 2 2 5 5 4 2

LO5 2 5 4 3 4 2 2 2 4 2 2 2


COURSE INFORMATION

Department :Industrial and Systems Engineering


for Admission :IND 203 Probability Theory


Course coordinator : Nilgün Ferhatosmanoğlu

Course lecturer(s) : Nilgün Ferhatosmanoğlu, G. Sena Daş


Course description/aim : To learn basic statistical techniques used in parameter estimation

Course contents : Sample and Population Mean, Variance, Sampling Distribution of Means and

Central Limit Theorem, Hypotheses Testing






Methods/Techniques



1 draw Stem-and Leaf Diagram, Histogram,

Box-Plot, Probability Plot of a given data,

interprete them, and distinguish between

symmetrical and skewed data

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

2 compute measures of central tendency (mean,

median) and deviation (range, standard

deviation) of a given sample and calculate

probabilities related to sample mean using

Central Limit Theorem.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

3 develop one and two-sided confidence

intervals for population mean and variance,

compute them and interprets them

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

4 formulate an appropriate one or two sided

hypotheses test, perform the test and clearly

state the result of the test in the problem

context

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

5 comprehend the meaning of P- value and

decide on whether to reject the null

hypothesis based on P-value or not.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam



Resource(s)

Time

(Hours)

1 Sample and Population Mean, Variance, Stem and Leaf

Diagram

Course

notes/textbooks

3

Course

Code IND 204

Course

Name STATISTICS

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2 Quartiles, Histograms, Box-Plots, and Probability Plots

Course

notes/textbooks

3

3 Sampling Distribution of Means and Central Limit Theorem

Course

notes/textbooks

3

4 Point Estimation

Course

notes/textbooks

3

5 Point Estimation (Cont’d)

Course

notes/textbooks

3

6 Interval Estimation for a Single Sample: Confidence Intervals

(Known Variance)

Course

notes/textbooks

3

7 Confidence Intervals (Unknown Variance): t-distribution,

Large Sample CIs- Midterm Exam

Course

notes/textbooks

3

8 Midterm Exam

Course

notes/textbooks

3

9 Hypotheses Testing for a Single Sample (Known Variance):

Type 1, Type 2 error, Power of a Test

Course

notes/textbooks

3

10 Hypotheses Testing for a Single Sample (Unknown Variance):

t-test, chi-square test

Course

notes/textbooks

3


t-test, chi-square test (Cont’d)

Course

notes/textbooks

3

12 Goodness of fit and Contingency Tables

Course

notes/textbooks

3

13 Hypotheses Testing for Two Samples: Inference for a

difference of two means

Course

notes/textbooks

3

14 Hypotheses Testing for Two Samples: paired t-test

Course

notes/textbooks

3

15 Inferences on the Variances of two Normal Populations

Course

notes/textbooks

3

16 Final Exam

Course

notes/textbooks

3

17 Final Exam

Sources

Course

notes/textbooks

: Douglas C. Montgomery and George C. Runger , Applied Statistics and Probability

for Engineers, 5th edition, Wiley

Readings :

Supplemental

readings



References :

Evaluation System


Attendance 16 5

Quizzes 4 10

Homework 4 10

Presentation

Laboratory/Practice

Report(s)


COURSE INFORMATION

Seminar

Projects 1 20


Others

Final exam 1 30

Total 100



Total 100





course 15 2 30


Final exam 1 3 3


homework 4 2 8


presentation


project 4 5 20

Individual study for quiz 4 3 12




exam 4 5 20

Total 152




LO1 5 5 5 5 3 4 2 3 3 3 2 3

LO2 4 5 5 2 5 4 3 3 3 3 2 2

LO3 5 3 3 5 5 4 4 3 3 3 3 2

LO4 5 5 5 3 2 4 2 3 3 3 3 4

LO5 5 2 5 5 5 4 2 3 3 3 2 3


COURSE INFORMATION

Department : Mathematics


for Admission : -






: To introduce basic concepts of linear algebra including vectors, vector spaces,

matrices, and determinants, systems of linear equations, eigenvectors and linear

transformations.

Course contents

: Systems of linear equations. Gaussian elimination, matrix operations and

matrix types. Applications of matrices. Determinants. Cramer's rule. Vector

spaces. Matrix transformations. Eigenvalues and Eigenvectors.






Methods/Techniques


1 Solve systems of linear equations Lectures Homework and Exams

2 Compute determinants, eigenvalues and

eigenvectors

Lectures Homework and Exams

3 Perform and explain uses of diagonalization

and quadratic forms


4 Ability to use eigenvalues and eigenvectors

on engineering problems


5 Ability to work cooperatively in groups Lectures Homework and Exams



Resource(s)

Time

(Hours)

1 Systems of Linear Equations 3

2 Gaussian Elimination 3

3 Matrix Operations and Matrix Arithmetic 3

4 Invertible Matrices and Special Matrices 3

5 Application of Matrices 3

6 Determinants, Cramer's Rule 3

7 Vectors in n-dimensions, Norms and Dot Products,

Orthogonality

3

8 Midterm 3

9 Cross Products 3

10 Real Vector Spaces 3

Course

Code MAT221

Course

Name Linear Algebra

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Bachelor 3rd English 3 0 0 0 6

COURSE INFORMATION

11 Subspaces, Linear Independence 3

12 Coordinates and Basis 3

13 Change of Basis 3

14 Matrix Subspaces, Matrix Transformations 3

15 Eigenvalues and Eigenvectors 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Elementary Linear Algebra: Applications Version, (10th edition) H. Anton and C.

Rorres, Wiley (2010) and Lecture Notes.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 4 16


Final exam 1 3 3


homework 11 5 55




exam 6 4 24

Total 156

COURSE INFORMATION




LO1 4 3 3 3 4 1 1 1 1 1 1 2

LO2 4 3 2 4 4 1 1 4 1 2 1 3

LO3 5 4 4 4 2 1 1 2 2 1 1 4

LO4 3 2 3 4 5 1 1 4 2 1 1 2

LO5 3 3 5 4 4 1 1 4 2 1 1 2


COURSE INFORMATION

Department :Mechanical Engineering


for Admission :None






: To improve mathematical thinking of students and make the students to use this skill

in order to solve the problems which are met in mathematics, physic sand mechanical

engineering problems.

Course contents

: Definition and Classification of Differential Equations; Examples from

Practical Science; 1st Order Differential Equations; Separable into Variables,

Homogen and Homogenized Differential Equations; 1st Order Linear

Differential Equations; Bernoulli andRiccati Differential Equations; Exact

Differential Equation, Integrating Factors and Solution

Methods; High-order Equations; Factorization Method; To Determine Single

Solution; Clairaut and Lagrange Differential Equations; Differential Equations

with lack of one Variable; High order Linear Differential Equations; Homogen

and Non-Homogen Differential Equations; Complementary Function; Special

and General Solution; Linear Independence of Solutions; Homogen Linear

Equations with Constant Coefficients; Non-Homogen Differential Equations

with Constant Coefficients; Undefined Coefficients Method; Changing of

Parameters (Lagrange) Method; Operator Method; Linear and Non-linear

Differential Equations with Variable Coefficients; Cauchy-Euler Equations;

Equations with lack of dependent and independent variables; Sarrus Method;

Serail Solution of 2nd order Linear Equations; Laplace Transform; Calculation

of Initial Value Problems by Laplace Transform; 1st order Linear Equation

Systems; Elimination and Determinant Methods, Homogen Linear Equation

Systems with Constant Coefficients; Undefined Coefficients and Changing of

Parameters Method.


program components :None




Methods/Techniques



1 Gain ability to use differential equations

terminology accurately.


answer

Exam, question and

answer

2 Able to solve first order differential equations

and use them in engineering applications


answer

Exam, question and

answer

3 Able to solve first order differential equations Lecture, question and Exam, question and

Course

Code

MAT

222

Course

Name Differential Equations

Type of

Course

Level of


Application


Local

Credit

s

ECTS

Compulsory Bachelor 4th English 3 0 0 3 5

COURSE INFORMATION

and use them in engineering applications answer answer

4 Learn the all solution methods of differential

equations which consist of functions of one

variable


answer

Exam, question and

answer



Resource(s)

Time

(Hours)

1

Definition and Classification of Differential Equations:

Classification According to Type: Ordinary and Partial

Differential Equations, Order of Differential Equations and

Classification According to Order; Classification according to

Linearity: Linear- Nonlinear Differential Equations; Solution

of Differential Equations: Integral Curve; Closed-open

Solution; Special Solution; General Solution; Single Solution;

Initial Value Problem. To Acquire Differential Equations

Lecture Notes, Text

book

3

2

Examples from Practical Science: Radioactive Deterioration,

Increase in Population, Simple Pendulum, etc. 1st order

equations: Separable into Variables Differential Equations;

Homogen and Homogenized Differential Equations.

Lecture Notes, Text

book

3

3

1st order equations: Exact Differential Equations, Differential

Equations transformation into exact form; Integrating Factors

and Solution Methods; Solutions of Linear Differential

Equations; Solutions of Bernoulli and Riccati Differential

Equations

Lecture Notes, Text

book

3

4

1st order equations: Exact Differential Equations, Differential

Equations transformation into exact form; Integrating Factors

and Solution Methods; Solutions of Linear Differential

Equations; Solutions of Bernoulli and Riccati Differential

Equations

Lecture Notes, Text

book

3

5

High-order Linear Differential Equations; Homogen and Non-

Homogen Differential Equations; Complementary Function;

Special and General Solution; Linear Independence of

Solutions and Wronskian determinant; Homogen Linear

Equations with Constant Coefficients: To Determine of

Characteristic Equations; In case of Unrepeated and Real

Roots of Characteristic Equations; In case of Repeated Roots

of Characteristic Equations.

Lecture Notes, Text

book

3

6

Homogen Linear Differential Equations with Constant

Coefficients: In case of Complex Roots of Characteristic

Equations; In case of some repeated roots, some unrepeated

roots and some complex roots of Characteristic Equations.

Non-Homogen

Differential Equations with Constant Coefficients: Undefined

Coefficients Method

Lecture Notes, Text

book

3

7

Non-Homogen Differential Equations with Constant

Coefficients: Changing of Parameters (Lagrange) Method;

Operator Method

Lecture Notes, Text

book

3

8 Midterm I

9

Non-linear Differential Equations with Variable Coefficients:

Equations with lack of dependent and independent variables;

Sarrus Method

Lecture Notes, Text

book

3

COURSE INFORMATION

10

Serail Solution of 2nd order Linear Equations: Definition of

Power Series; Limit and Radius of Convergence of Power

Series; Expansion Conditions of Power Series; Definition of

Ordinary Point; To Determine the Serial Solution of

Differential Equation nearby the ordinary point

Lecture Notes, Text

book

3

11

Laplace Transform: Definition; Laplace Transform of

Elementary Functions; Laplace Transform of Derivative and

Derivative of Laplace Transform; Calculation of Initial Value

Problems by Laplace Transform

Lecture Notes, Text

book

3

12

Laplace Transform: Unit Step Function, Partial Function on

Right Hand-side of Equation in the Non-homogen Initial

Value Problem; 1st order Linear Differential Equation

Systems: Definition, Normal Form, Corrupted System, Order

of Equation Systems; Solution Vector; Super-position

Principle; Linear Invarience of the Solutions; General Solution

Lecture Notes, Text

book

3

13 Midterm II

14

Homogen Linear Equation Systems with Constant

Coefficients: Definition of Characteristic Equations; In case of

real and unrepeated roots of Characteristic Equations; In case

of Complex Roots of Characteristic Equations; In case of

Repeated Roots of Characteristic Equations

Lecture Notes, Text

book

3

15

Non-homogen Differential Equation Systems with Constant

Coefficients: Undefined Coefficients Method; Changing of

Parameters Method.

Lecture Notes, Text

book

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: Introduction to Ordinary Differential Equations, Shepley L. Ross, 4th Edition,

Elementary to Differential Equations and Boundary Value Problems, William E. Boyce

and Richard C.Di Prima, 5th Edition.

Readings :

Supplemental

readings :Lecture Notes

References :

Evaluation System


Attendance

Quizzes 4 5

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


COURSE INFORMATION

Others

Final exam 1 40

Total 100



Total 100





course

6 5 30


Final exam 1 3 3

Quizzes 4 1/2 2


quizzes

4 3 12


midterm midterms

4 5 20


exam

2 5 10

Total 123

ECTS Credit (Total/25.5) 5



LO1 5 2 3 3 3 1 1 2 3 1 3 2

LO2 5 3 4 3 3 1 1 2 3 1 5 3

LO3 5 3 4 3 3 1 1 2 3 1 5 4

LO4 5 3 4 3 3 1 1 2 3 1 5 2


COURSE INFORMATION









: To teach the students the fundamentals about complex numbers and complex

functions and to make sure they gain the ability to use complex calculus to solve

problems in electrical engineering

Course contents

: Complex numbers and functions, complex calculus, elementary functions and

inverse functions, complex integrals and residue theorems, Taylor series and

convergence, evaluation of improper integrals.






Methods/Techniques



1 learn the concept of complex numbers. Lecture, Lecture with

Discussion

Midterm and Final

Exams

2 extend the knowledge on calculus by learning

complex functions, limit, derivative, and

integral.


Discussion

Midterm and Final

Exams

3 gain the ability to use complex calculus to

solve problems in electrical engineering.


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Complex numbers and their properties Textbook/ Lecture

Notes

3

2 Analytic functions of complex variables Textbook/ Lecture

Notes

3

3 Theorems on limits and derivatives Textbook/ Lecture

Notes

3

4 Exponential, trigonometric, and hyperbolic functions Textbook/ Lecture

Notes

3

5 Logarithms and inverse functions Textbook/ Lecture

Notes

3

6 Complex integrals Textbook/ Lecture 3

Course

Code MAT232

Course

Name Complex Analysis

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Undergrad. 4 English 3 0 0 3 6

COURSE INFORMATION

Notes

7 Theorems on complex integrals Textbook/ Lecture

Notes

3

8 Midterm Exam 2

9 Taylor series and convergence Textbook/ Lecture

Notes

3

10 Integration and differentiation of power series, zeros of

analytic functions

Textbook/ Lecture

Notes

3

11 Residues and poles Textbook/ Lecture

Notes

3

12 Evaluation of improper real integrals Textbook/ Lecture

Notes

3

13 Improper and definite integrals involving sines and cosines Textbook/ Lecture

Notes

3

14 Mapping by elementary functions Textbook/ Lecture

Notes

3

15 Problems related to electrical engineering Textbook/ Lecture

Notes

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Complex Variables and Applications by R.V.Churchill and J.W.Brown

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

Total 100



Total 100

COURSE INFORMATION





course 10 3 30


Final exam 1 3 3


homework




exam 7 5 35

Total 152




LO1 3 5 1 3 4 3 1 1 2 1 3 1

LO2 5 2 1 3 4 3 4 4 2 3 3 2

LO3 5 5 1 3 4 3 1 1 2 1 3 1


COURSE INFORMATION



for Admission :






: This course seeks to place on solid foundations the most common structures

of computer science, to illustrate proof techniques, to provide the background

for an introductory course in computational theory, and to introduce basic

concepts of probability theory.

Course contents : Topics include Boolean algebras, logic, set theory, relations and functions,

graph theory, counting, combinatorics, and basic probability theory.






Methods/Techniques



1 precisely state logical argument Lectures Quizzes, exams and

homework

2 practically use fundamental mathematical

notation and concepts


homework

3 practice basic concepts of mathematical proof

(direct proof, proof by contradiction,

mathematical induction)


homework

4 handle the standard logical symbols with

some confidence


homework

5 solve elementary combinatorial and counting

problems


homework

6 simplify complex mathematical expressions

and apply general formulas to specific

contexts


homework



Resource(s)

Time

(Hours)

1 Fundamental Principles of Counting Textbook 3

2 Fundamentals of Logic Textbook 3

3 Set Theory Textbook 3

4 Properties of the Integers: Mathematical Induction Textbook 3

Course

Code MAT2XX

Course

Name Discrete Mathematics

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

5 Relations Textbook 3

6 Relations Textbook 3

7 Functions Textbook 3

8 Midterm 1 2

9 The Principle of Inclusion and Exclusion Textbook 3

10 Generating Functions Textbook 3

11 Recurrence Relations Textbook 3

12 Midterm 2 2

13 Graphs Textbook 3

14 Graphs Textbook 3

15 Trees Textbook 3

16 Final Exam 2

17 Final Exam

Sources

Course

notes/textbooks : Discrete and Combinatorial Mathematics, Grimaldi, Pearson, 5/E.

Readings :

Supplemental

readings : Discrete Mathematics, Johnsonbaugh, Pearson, 7/E.

References :

Evaluation System


Attendance

Quizzes 5 5

Homework 4 10

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 35

Total 100



Total 100





course 13 3 39


COURSE INFORMATION

Final exam 1 2 2


homework 4 4 16




exam 2 6 12

Total 128




LO1 5 2 2 3 4 2 2 3 2 4 3 2

LO2 5 3 3 2 4 3 2 3 3 3 3 3

LO3 5 2 2 1 3 3 2 2 3 4 4 2

LO4 4 2 2 2 4 2 2 3 2 4 3 2

LO5 4 3 3 2 3 3 1 2 4 3 2 3

LO6 4 2 2 3 4 2 1 4 2 2 3 4


COURSE INFORMATION

Department : Mechanical Engineering







Course description/aim This course presents the fundamental topics for Dynamics.

Course contents

Dynamics of particles: Rectilinear and curvilinear motion, Newton's laws, momentum

and angular momentum methods. Work and energy. Dynamics of rigid bodies;

kinematics, Euler's Laws, angular momentum. Work and energy methods for rigid

bodies






Methods/Techniques

Assessment

method(s)

At the end of this course, students will be able to:

1 Analyze particle kinematics for motion of

particles.

Theoretical Lecture, Solving

Exercises

Exams, Question-

Answer

2 Have a solid basic knowledge of the

fundamental principles of the kinetics of

particles.


Exercises

Exams, Question-

Answer

3 Apply the basic concepts of work-energy and

impulse momentum in order to solve particle

motion problems.


Exercises

Exams, Question-

Answer

4 Conduct the kinematical analysis for plane

motion of rigid bodies.


Exercises

Exams, Question-

Answer

5 Identify, formulate and solve engineering

problems of the rigid body Dynamics.


Exercises

Exams, Question-

Answer

6 Apply the basics concepts of work-energy and

impulse momentum to rigid body systems.


Exercises

Exams, Question-

Answer



Resource(s)

Time

(Hours)

1 Dynamics of particles Textbook/ Lecture

Notes

3

2 Application Textbook/ Lecture

Notes

3

3 Rectilinear and curvilinear motion Textbook/ Lecture 3

Course

Code

MEC

202 Course

Name Dynamics

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes


Notes

3

5 Newton's laws, momentum and angular momentum methods Textbook/ Lecture

Notes

3


Notes

3

7 Dynamics of rigid bodies and kinematics Textbook/ Lecture

Notes

3

8 Midterm Exam I Textbook/ Lecture

Notes

2


Notes

3


Notes

3

11 Work and Energy Textbook/ Lecture

Notes

3

12 Application-Midterm Exam II Textbook/ Lecture

Notes

3

13 Euler's Laws, angular momentum Textbook/ Lecture

Notes

3


Notes

3

15 Work and energy methods for rigid bodies Textbook/ Lecture

Notes

3

16 Final Exam Textbook/ Lecture

Notes

3


Notes

Sources

Course

notes/textbooks : Engineering Mechanics: Dynamics by Russell C. Hibbeler

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


COURSE INFORMATION

Others

Final exam 1 50

Total 100



Total 100


Activity Week Time (hours) Total work load (hours)



course 14 4 56


Final exam 1 3 3

Quizzes 2 1 2


quizzes 2 6 12




exam 2 10 20

Total 159




LO1 5 3 2 5 4 3 5 1 3 1 5 2

LO2 5 4 2 3 2 3 5 1 3 3 2 3

LO3 2 3 2 3 4 3 5 1 3 1 5 2

LO4 2 1 2 5 2 3 5 1 3 3 5 3

LO5 5 3 2 5 4 3 5 1 3 1 2 3

LO6 5 3 2 3 2 3 5 1 3 3 5 3


COURSE INFORMATION








Course description/aim To address the basic principles of thermodynamics, to give an idea about the

use thermodynamics in the engineering applications with real-life examples

Course contents






Methods/Techniques



1 Have knowledge about fundamental

thermodynamic concepts such as open, closed

and isolated systems, state of a system in

equilibrium and extensive and intensive

properties of the system in equilibrium.

Theoretical Lecture,

Solving Exercises

Exams, Question-

Answer

2 Comprehend properties of pure substances,

phase diagrams and phase transitions.


Solving Exercises

Exams, Question-

Answer

3 Able to understand the energy transfer by heat

and work.


Solving Exercises

Exams, Question-

Answer

4 Be acquainted with energy conservation (First

Law of Thermodynamics), increased entropy

(Second Law of Thermodynamics) and

energy conversion.


Solving Exercises

Exams, Question-

Answer

5 Be familiar with energy conversion devices

and machines such as compressors,

turbines,boilers, heat exchangers, combustion

chambers, etc. and their energy balance

analysis.


Solving Exercises

Exams, Question-

Answer

6 Grasp thermodynamic cycles and conduct

their thermodynamic analysis.


Solving Exercises

Exams, Question-

Answer


Course

Code MEC 205

Course

Name Thermodynamics

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION


Resource(s)

Time

(Hours)

1

Introduction to basic concepts of thermodynamics and

energy, systems and control volumes, phase changes and

cycles

Textbook/ Lecture

Notes

3

2 Energy Conversion, heat and energy transfer, work and energy

transfer, the first law of thermodynamics

Textbook/ Lecture

Notes

3

3

Properties of pure substances, phase change processes,

compressed liquid, saturated liquid, saturated steam,

superheated steam, saturation temperature and saturation

pressure

Textbook/ Lecture

Notes

3

4

Property of phase change process diagrams, tables of

thermodynamic properties, enthalpy, ideal gas equation of

state

Textbook/ Lecture

Notes

3

5 Closed systems energy analysis: Moving boundary work,

energy balance, specific heats

Textbook/ Lecture

Notes

3

6 Perfect gases, internal energy, enthalpy and specific heat,

solids and liquids, internal energy, enthalpy and specific heat

Textbook/ Lecture

Notes

3

7 Mass and energy analysis for control volumes: the principle of

conservation of mass, energy of heat and fluid flow

Textbook/ Lecture

Notes

3


Notes

2

9 Energy analysis of continuous-flow open systems Textbook/ Lecture

Notes

3

10 Some Steady-Flow Systems Textbook/ Lecture

Notes

3

11 Conservation of energy in time depended open systems Textbook/ Lecture

Notes

3

12 Introduction to Second Law of Thermodynamics

Midterm Exam II

Textbook/ Lecture

Notes

3

13

Refrigerating systems and heat pumps, the activity coefficient,

the Second Law of Thermodynamics: Clasius expression,

circulating machines

Textbook/ Lecture

Notes

3

14 Reversible and irreversible processes, Carnot cycle, Carnot

Cycle applications

Textbook/ Lecture

Notes

3

15 Problem Solving Textbook/ Lecture

Notes

3


Notes

3

17 Final Exam

Sources

Course

notes/textbooks : Thermodynamics by YA. Çengel

Readings :

Supplemental

readings :

References :

COURSE INFORMATION

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 50

Total 100



Total 100





course 8 5 40


Final exam 1 3 3

Quizzes 2 1 2


quizzes 4 3 12




exam 4 5 20

Total 153




LO1 5 3 2 4 4 1 2 2 2 2 3 2

LO2 5 3 2 4 4 2 2 2 2 2 3 2

LO3 5 3 2 4 4 1 2 2 2 3 3 2

LO4 5 3 2 4 4 2 2 2 2 2 3 3

LO5 5 3 2 4 4 1 2 2 2 3 3 2

LO6 5 3 2 4 4 1 1 2 2 2 3 2


COURSE INFORMATION



for Admission : -






: This course presents the fundamental concepts in modeling second order dynamical

systems. Different dynamical systems; mechanical, thermal, electrical and fluidic, will

be modeled. Responses of 2nd

order systems to various types of input signals will be

discussed. Modeling and simulation studies will be performed in Matlab Simulink

environment.

Course contents

: Introduction to dynamical systems. First order dynamical systems. Second

order dynamical systems. Modeling of mechanical systems. Modeling of

fluidic systems. Modeling of electrical systems. Modeling of thermal systems.

Response of second order systems.






Methods/Techniques



1 Understand basics of modeling and

simulation


2 Perform modeling and simulation work using

Matlab/Simulink


3 Understand basic principles of 2nd

order

systems


4 Understand responses of 2nd

order systems to

different types of input signals


5 Work individually or as a team member for

solving engineering tasks.




Resource(s)

Time

(Hours)

1 Introduction to dynamical systems 3

2 First order dynamical systems 3

3 Second order dynamical systems 3

4 Modeling of mechanical systems 3

5 Modeling of fluidic systems 3

Course

Code MCH301

Course

Name Modeling and Simulation

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 0 3 5

COURSE INFORMATION

6 Modeling of electrical systems 3

7 Modeling of thermal systems 3

8 Mid-term Exam 3

9 Basics of simulation and Matlab/Simulink 3

10 Response of second order systems to various input types 3

11 Response of second order systems to various input types 3

12 Simulation of mechanical systems. 3

13 Simulation of thermal and fluidic systems. 3

14 Simulation of electrical systems 3

15 Modeling and simulation of a quadrotor platform 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Simulation Modeling and Analysis, Averill Law, McGraw-Hill Publishing, 2006 and

Lecture notes

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes 5 10

Homework 5 10

Presentation -- 0


Report(s) -- --

Graduate Thesis/Project -- --

Seminar -- --

Projects 1 10


Others -- --

Final exam 1 30

Total 100



Total 100





course 6 4 24


Final exam 1 4 4

COURSE INFORMATION


homework 2 5 10


quizzes 5 1 5

Individual study for the

project 1 8 8




exam 6 3 18

Total 130




LO1 5 4 2 5 5 4 4 5 2 3 3 2

LO2 3 3 5 5 5 4 5 4 3 2 2 1

LO3 3 4 2 3 5 5 4 5 5 2 2 1

LO4 3 3 4 4 5 5 4 4 3 3 4 2

LO5 3 3 4 5 4 4 4 3 3 4 3 2


COURSE INFORMATION



for Admission : MCH301

Mode of delivery : Lectures, Projects, Laboratories, Exams





: This course intends to introduce basic building blocks of mechatronic products.

Signals and signal characteristics will be studied. Several sensors and actuators and

their characteristics/interfacing will be introduced.

Course contents

: Building blocks of mechatronic products. Principles of sensing. Types of

sensors and interfacing. Linear and rotational sensors. Proximity sensing.

Force, torque and power measurement. Inertial sensors. CCD/CMOS imagers.

Actuators. DC servomotors, brushless DC motors. RC servo and stepper

motors. Hydraulic actuators and modeling. Piezoelectric effect. Piezoelectric

actuators and sensors.






Methods/Techniques



1 Understand basic building blocks of

mechatronic products.


2 Understand basic principles of sensing. Lectures Homeworks and Exams

3 Understand working principles of mostly

encountered sensors.


4 Understand actuators, their modeling and

interfacing.


5 Understand basics of microsensors and

piezoelectric effect.




Resource(s)

Time

(Hours)

1 Classification of mechatronic products. 3

2 Building blocks of mechatronic products. 3

3 Principles of sensing. Types of sensors and interfacing. 3

4 Linear and rotational sensors. Proximity sensing. 3

5 Force, torque and power measurement. Temperature

measurement.

3

Course

Code MCH302

Course

Name Mechatronic Components

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 2 4 4

COURSE INFORMATION

6 Principles of inertial measurement. Inertial measurement units 3

7 CCD/CMOS cameras and interfacing. Microsensors. 3


9 Actuators. Types and interfacing. 3

10 DC servomotors. Modeling, interfacing and drives. 3

11 Brushless DC motors. Modeling, characteristics and drives 3

12 RC servo and stepper motors. 3

13 Hydraulic actuators and modeling. 3

14 Piezoelectric effect. Piezoelectric sensors and actuators. 3

15 System integration concepts 3



Sources

Course

notes/textbooks

: Mechatronics System Design: SI, D. Shetty, R. A. Kolk, 2010., Instrumentation and

Control Systems, 2006., and Lecture Notes Readings :

Supplemental

readings : The mechatronics handbook. Robert H. Bishop. CRC Press.

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework -- 0

Presentation -- 0


Report(s) -- --


Seminar -- --

Projects 2 30


Others -- --

Final exam 1 30

Total 100



Total 100





course 4 4 16


Final exam 1 4 4

COURSE INFORMATION


project 5 3 15


midterm exams 4 2 8


exam 4 4 16

Total 104




LO1 3 1 4 5 4 4 5 3 3 3 3 4

LO2 2 1 4 4 5 5 5 5 5 3 3 2

LO3 4 3 4 5 5 4 4 5 3 3 2 1

LO4 3 3 5 4 5 4 4 4 4 3 2 2

LO5 2 3 3 3 3 3 4 3 3 5 3 3


COURSE INFORMATION

1



for Admission

: MCH 203 Elements of Design for Mechatronics Engineering I

MCH 204 Engineering Mechanics






: At the end of this course, the students will be competent in designing mechanical

engineering systems either alone or as a part of a team, will understand the principles

of failure prevention perspective of mechanical design, know how to design and/or

select required mechanical components, know how to choose the correct engineering

materials for the design and its related standard components with respect to the field

of application, know how to document and present their work efficiently

Course contents

: Concepts and definition of mechanical design, safety factor, failure criteria, modes

of mechanical failure (elastic deformation, rupture, buckling, impact, creep, wear,

corrosion, fatigue) and failure prevention (reliability), materials selection, types of

loading, force & stress analysis, design for function/ performance/ reliability/

manufacturing/ assembly, elements of power transmission, pressurized cylinders,

bearings, power transmitting screws, joints and fastening methods, springs, gears,

brakes & clutches, belts, chains, cranks, fundamentals of integration of components

into a full assembly






1. A good understanding of concepts

and definition of mechanical

design and its stages




presentations and associated

discussions

Quizzes, homeworks, individual

and/or group project(s), group

presentation for project, poster

presentation of group project,

midterm and final exams




manufacturing standards





discussions






3. A good understanding of design

safety factor, standard machine

elements; their subassemblies and

integration methodology of

elements to acquire the whole





discussions






Course

Code MCH 303

Course

Name Elements of Design for Mechatronics Engineering II

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2

machine

4. Ability to realize and use the

failure prevention perspective in

mechanical design





discussions







modes of mechanical failure,

failure theories and reliability





discussions







analysis of stress & strain





discussions







environment





discussions







skills





discussions








skills





discussions








Resource(s)

Time

(Hours)

1 Introduction: Keystones of design, Materials selection &

Geometry determination

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

2 Failure prevention analysis, Failure criteria, Modes of mechanical

failure (Elastic deformation, Yielding, Ductile rupture)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

3 Modes of mechanical failure (Elastic instability, Buckling, Shock

and Impact)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

4 Modes of mechanical failure (Creep, Wear, Corrosion, Fatigue)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

*** Announcement of individual or group project guidelines

COURSE INFORMATION

3

5 Role of safety factors in design & Reliability, Materials Selection

in mechanical design

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

6 Analysis of Stress & Strain

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

Students decide on individual or group project and submit

proposal to instructor

7 Midterm exam 3

8 Failure theories (Multiaxial states of stress & strain, Stress

concentration, Combined stress theories of failure)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

9 Failure theories (Brittle fracture, crack propagation, Fluctuating

loads & fatigue life, Multiaxial states of cyclic stress)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

10 Design applications (Power transmission machine elements,

Pressurized cylinders and Interference fits)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

11 Design applications (Plain bearings, Rolling bearings, Lubrication)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

12 Design applications (Power screws, Machine joints and Fastening

methods)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

13 Design applications (Springs, Brakes & clutches) Textbook/Lecture

Notes

4

14 Design applications (Gears)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

15 Design applications (Belts, Chains, Cranks and Crankshafts)

Textbook/Lecture

Notes/ Supplemental

books/Internet

4

15’ *** Submission of project ***

16 Final exam 3

17 Final exam

Sources

Course

notes/textbooks

: “Mechanical Design of Machine Elements and Machines”, by J.A. Collins, H. Busby & G.

Staab, Wiley; 2nd

ed, 2012, ISBN 978-0-470-41303-6


Supplemental

readings

: “Fundamentals of Machine Component Design”, by Robert Juvinall, Wiley; 5th ed, 2011,

ISBN 978-1118012895

“Machine Elements in Mechanical Design”, by Robert Mott, Prentice Hall, 4th ed, 2003, ISBN

978-0130618856

“Shigley's Mechanical Engineering Design”, by Richard Budynas, McGraw-Hill

Science/Engineering/Math, 9th ed, 2010, ISBN 978-0077942908

“Design of Machinery”, by Robert Norton, McGraw-Hill Science/Engineering/Math, 5th ed,

COURSE INFORMATION

4

2011, ISBN 978-0077421717

“Engineering Design: A Project Based Introduction”, by Clive Dym, Wiley; 3rd ed, 2008, ISBN

978-0470225967

“Mechanical Design”, by Peter Childs, Butterworth-Heinemann; 2nd ed, 2004, ISBN 978-

0750657716

“Materials Selection in Mechanical Design”, by Michael F. Ashby, Butterworth-Heinemann 4th

ed, 2010, ISBN 978-1856176637

References


2011, ISBN 978-1111321833


7th ed, 2007, ISBN 978-0073521510

“The Elements of Mechanical Design”, by James Skakoon, ASME Press (American Society of

Mechanical Engineers), 2008, ISBN 978-0791802670

“Kinematic Chains and Machine Components Design”, by Dan B. Marghitu, Academic Press;

1st ed, 2005, ISBN 978-0124713529

Evaluation System


Attendance 42

Quizzes 4 5%

Homework 10 10%

Laboratory/Practice

Report(s)


Seminar

Presentation

Projects 1 15%


Others

Final exam 1 40%

Total 100



Total 100

COURSE INFORMATION

5






Final exam 1 3 3


homework 10 3 30


presentation 0 0 0


project 1 10 10




exam 1 13 13

Total 153




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION



for Admission : MEC202

Mode of delivery : Lectures, Laboratories, Quizes, Exams




Course description/aim : This course intends to the fundamental concepts in thermodynamics, heat transfer

and fluid mechanics.

Course contents

: Principles of thermodynamics. First and second law of thermodynamics.

Heat, work, entropy and irreversibility. Hydrostatics and fluid mechanics.

Control volume, mass, momentum and energy. Euler and Bernolli equations.

Internal, external flows. Laminar and turbulent flows. Principles of heat

transfer. Conduction, convection and radiation. Applications.






Methods/Techniques



1 Understand basic principles of

thermodynamics


2 Understand basic principles of fluid

mechanics


3 Understand basic principles of heat transfer Lectures Homeworks and Exams

4 Understand first law and second law of

thermodynamics


5 Understand basics of laminar and turbulent

flow




Resource(s)

Time

(Hours)

1 Principles of thermodynamics 4

2 First law of thermodynamics 4

3 Second law of thermodynamics 4

4 Heat and work 4

5 Entropy and irreversibility 4

6 Hydostatics and introduction to fluid mechanics 4

7 Control volume, mass, momentum and energy 4


Course

Code MCH304

Course

Name Thermo-fluid Engineering

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Bachelor 6th

English 4 0 0 4 6

COURSE INFORMATION

9 Euler and Bernolli equations 4

10 Internal and external flows 4

11 Laminar and turbulent flows 4

12 Principles of heat transfer 4

13 Conduction 4

14 Convection 4

15 Radiation 4



Sources

Course

notes/textbooks

: Fundamentals of Thermal-Fluid Sciences. Y. Cengel. R. Turner. J. Cimbala. Mc-

GrawHill. 2011 Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes 5 10

Homework -- 0

Presentation -- 0


Report(s) -- --


Seminar -- --

Projects 1 10


Others -- --

Final exam 1 30

Total 100



Total 100





course 9 4 36


Final exam 1 4 4


project 6 3 18


COURSE INFORMATION

quizzes

Individual study for the

laboratories 5 4 20


midterm exams 4 2 8


exam 4 4 16

Total 157




LO1 3 5 4 5 4 4 5 3 3 2 2 4

LO2 4 2 3 4 5 2 2 5 3 1 2 2

LO3 3 3 4 2 5 4 2 5 3 2 3 1

LO4 3 3 5 4 2 4 2 3 2 3 3 2

LO5 2 3 3 3 3 3 1 3 3 5 1 3


COURSE INFORMATION

Course

Code

MCH306 Course

Name

INTRODUCTION TO MICROSYSTEMS

Type of

Course

Level of

Course

Semester Language Theory Application

(Practice)

Laboratory Local

Credits

ECTS


English 3 0 2 3 6



for Admission

: Engineering Mechanics, Dynamics, or Consent of Instructor





Course description/aim : Main objective of this course is to introduce the design of Micro Electro

Mechanic Systems and Devices including Sensors, Actuators, Micro

Mechatronic Components, Micro Machines and Micro Mechanisms.

Course contents :


program components

: --



COURSE INFORMATION


Methods/Techniques


1 Ability to apply mathematics, science and

engineering principles.


2 Ability to design a system, component, or

process to meet desired needs.


3 Ability to function on multidisciplinary

teams.


4 Ability to identify, formulate and solve



5 Understanding of professional and ethical

responsibility.


6 Ability to communicate effectively. Lectures Homeworks and Exams



Resource(s)

Time

(Hours)

1 Introduction to MEMS & Microsystems 3

2 Introduction to Microsensors 3

3 Historical Development of MEMS, Market Survey 3

4 Application of MEMS 3

5 MEMS Materials 3

6 MEMS Materials Properties 3

7 Micromachined Microsensors Mechanical 3

8 Midterm Exam 3

9 MEMS Pressure and Flow Sensor 3

10 Micromachined Flow Sensors 3

11 MEMS Inertial Sensors 3

12 Micromachined Microaccelerometers for MEMS 3

13 MEMS Accelerometers for Avionics 3

14 Temperature Drift and Damping Analysis 3

15 Micro Fluidic Devices, Bio-MEMS 3

16 Final 3

17 Final

COURSE INFORMATION

Sources

Course

notes/textbooks

: Micro Systems Lecture Notes

Iwao Fujimasa, Micromachines – A New Era in Mechanical Engineering, Oxford

University Press, NY, 1996.

S.M. Sze (ed.), Semiconductor Sensors, John Wiley and Sons, Inc., NY, 1994.

Julian W. Gardner, Microsensors – Principles and Applications, John Wiley and Sons,

Inc., NY, 1994.

Ljubisa Ristic (ed.), Sensor Technology and Devices, Artech House, MA, 1994.

Randy Frank, Understanding Smart Sensors, 2nd

ed., Artech House, MA, 2000.

Paul W. Chapman, Smart Sensors, ISA, NC, 1996.

Readings : Hector J. De Los Santos, Introduction to Microelectromechanical (MEM) Microwave

Systems, Artech House, MA, 1999.

Sergej Fatikow and Ulrich Rembold, Microsystem Technology and Microrobotics,

Springer Verlag, NY, 1997.

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

COURSE INFORMATION

Final exam 1 40

Total 100



Total 100





course

4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150




LO1 3 3 4 3 4 4 4 3 4 3 3 5

LO2 3 3 4 3 5 5 3 4 3 3 3 4

LO3 3 4 3 5 5 5 3 3 4 4 3 4

LO4 3 3 3 4 5 3 3 4 3 4 3 3

LO5 3 4 4 4 3 4 3 4 4 3 4 3

LO6 3 3 3 4 3 3 3 4 4 4 3 2


COURSE INFORMATION


: None

Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : Course description/aim : The fundamentals of subsonic flow are investigated within the scope of this course

Course contents : Potential Flow (Inviscid, Incompressible), Complex Variables, Lifting Line Theory, Finite Wing Theory


: None




1. The governing equations for Inviscid incompressible flow are learned

Lecture, Collaboration, Demonstration

Standardized examination, short examination, homework, laboratory sessions

2. The application of conservation laws within a control volume is learned



3. Finding the potential and stream functions of a flow field around bodies and calculation of the pressure distribution are learned



4. Computation of the lift and moment coefficients via thin airfoil theory is learned



5. Computation of the lift and drag coefficients via finite wing theory is learned





Resource(s)

Time

(Hours)

1 Aerodynamic forces and moments, Pressure and aerodynamic centers

Course book and lecture Notes

3

2 Dimensional analysis, Flow similarity, Types of flow Course book and lecture Notes

3

3 Fluid models, Conservation equations, Drag on a 2D body Course book and lecture Notes

3

Course

Code AEE 303

Course

Name Aerodynamics I

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

4 Fundamental equations of fluid flow, Pathlines, streamlines, streaklines


3

5 Stream and potential functions, Inviscid and incompressible flow


3

6 Bernoulli’s equation, Pitot tube Course book and lecture Notes

3

7 Laplace’s equation, Uniform flow, Source and doublet flows, Flow over a circuler cylinder


3

8 Midterm Exam

9 Vortex flow, Lifting flow over a cylinder, Kutta Joukowski theorem


3

10 Incompressible flows over airfoils, Kutta condition, Kelvin’s circulation theorem


3

11 Classical thin airfoil theory, symmetric and cambered airfoils Course book and lecture Notes

3

12 Incompressible flow over finite wings, Downwash and induced drag, The vortex filament, The Biot-Savart law and Helmholtz theorems


3

13 Panel Methods Course book and lecture Notes

3

14 Prandtl’s classical lifting line theory, Elliptical lift distribution Course book and lecture Notes

3

15 General lift distribution, Effect of aspect ratio Course book and lecture Notes

3

16 Final Exam 3 17 Final Exam

Sources


: John D. Anderson, “Fundamentals of Aerodynamics”, 4th Edition, Mc Graw Hill, 1991 ISBN: 0072950463

Readings : Internet research is strongly recommended Supplemental readings

: None

References : McCormick. B.W, “Aerodynamics, Aeronautics, and Flight Mechanics”, New York: Wiley, 1995, ISBN: D-471-11087-6

Evaluation System


Attendance Quizzes 10 10 Homework 5 10 Laboratory/Practice 5 10 Report(s) Graduate Thesis/Project Seminar Presentation 1 5 Projects 1 15 Midterm exam(s) 1 20 Others

COURSE INFORMATION

Final exam 1 30 Total 100

Percentage of semester work 70 Percentage of final exam 30

Total 100




5 2 10


2 2 4


3 3 9


7 2 14


7 3 21




LO1 5 2 1 2 1 5 1 1 1 3 3 5

LO2 5 2 1 1 4 5 1 1 2 3 3 5

LO3 5 2 1 1 1 5 1 1 1 3 3 5

LO4 5 2 1 2 1 5 1 3 1 3 3 5

LO5 5 2 1 1 4 5 1 1 1 3 3 5


COURSE INFORMATION


: None

Mode of delivery : Face to face Course coordinator : Lec. Levent Ünlüsoy Course lecturer(s) : Asst. Prof. Dr. Kürşad M. Güleren Course assistant(s) : None

Course description/aim : In this course the fundamentals of compressible aerodynamics and boundary layer theory will be taught.

Course contents

: Inviscid, compressible flow; Steady 1D compressible flow; Subsonic compressible flow over airfoils; Linear supersonic flow; Viscous, incompressible flow; Boundary layer equations; Introduction to turbulent flow; Introduction to turbulent boundary layers; Lift and drag on airfoils (viscous and inviscid)


: None




1. Applying basic principles of

thermodynamics to flow problems Lecture, Collaboration, Demonstration


2. Obtaining flow properties in one

dimensional inviscid flows Lecture, Collaboration, Demonstration


3. Understanding the normal shock

concept and calculation of the

physical state around them



4. Understanding the deflection

phenomena of shock waves and

calculating the flow properties



5. Compressible internal flow phenomena should be understood



6. Calculating subsonic and supersonic compressible flow properties around airfoils



7. Understanding laminar and turbulent boundary layers and calculating the physical properties within them




Course

Code AEE 304

Course

Name Aerodynamics II

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION


Resource(s)

Time

(Hours)

1

Introduction; Review of Thermodynamics Definition of Compressibility Governing Equations of Compressible Aerodynamics

Lecture notes and textbook 3

2 Normal Shocks Lecture notes and textbook 3 3 Normal Shocks Lecture notes and textbook 3 4 Oblique Shocks Lecture notes and textbook 3 5 Expansion Waves Lecture notes and textbook 3 6 Linear Theory of Subsonic Compressible Flows Lecture notes and textbook 3 7 Linear Theory of Subsonic Compressible Flows Lecture notes and textbook 3 8 Midterm Exam 9 Linear Theory of Supersonic Compressible Flows Lecture notes and textbook 3 10 Linear Theory of Supersonic Compressible Flows Lecture notes and textbook 3 11 Computational Methods for Compressible Flows Lecture notes and textbook 3 12 Introduction to Boundary Layer Theory Lecture notes and textbook 3 13 Laminar Boundary Layers Lecture notes and textbook 3 14 Turbulent Boundary Layers Lecture notes and textbook 3 15 Lift and Drag on Airfoils Lecture notes and textbook 3 16 Final Exam 17 Final Exam

Sources


: J.D. Anderson, "Fundamentals of Aerodynamics", McGraw-Hill, 2001

Readings : Internet research is strongly recommended Supplemental readings

: None

References : J.D. Anderson, "Modern Compressible Flow", McGraw-Hill, 1990 J. Schetz, "Foundations of Boundary Layer Theory", Prentice-Hall, 1984 H. Schlichting, "Boundary Layer Theory", Mc Graw-Hill, 1979

Evaluation System


Attendance Quizzes 10 10 Homework 5 10 Laboratory/Practice 5 10 Report(s) Graduate Thesis/Project Seminar Presentation 1 5 Projects 1 15 Midterm exam(s) 1 20 Others Final exam 1 30



COURSE INFORMATION

Total 100




5 4 20


2 4 8


6 3 18


7 3 21


7 2 14




LO1 5 2 1 1 1 5 1 1 1 3 3 5

LO2 5 2 4 3 3 5 3 4 4 3 4 5

LO3 5 2 1 1 1 5 1 1 1 2 3 3

LO4 5 2 1 1 1 5 1 1 1 3 3 5

LO5 5 2 4 3 3 5 3 4 4 2 4 5

LO6 5 2 1 1 1 5 1 1 1 3 3 3

LO7 5 2 1 1 1 5 1 1 1 3 3 5


COURSE INFORMATION



for Admission : EEE205






: The objective of the course is to give detailed information about the layered

architectures of computers, examine and compare the architectures of modern

computers in many respects. Embedded systems architecture is also integrated

to the course at a basic level

Course contents

: Introduction to the computer organization and architecture, performance

evaluation, arithmetic processing, pipelining cache and virtual memory,

embedded computing, instruction sets, CPUs, program design and analysis,

hardware accelerators, networks.






Methods/Techniques



1 know the functional components of the

computer systems and the interaction with

each other

Lectures Homework, Projects,

Exams

2 choose a proper processor assessing

architectural differences in processors


Exams

3 design a single-cycle CPU Lectures Homework, Projects,

Exams

4 code simple programs using MIPS or ARM

ISA


Exams

5 make conversions between virtual memory

and physical memory


Exams

6 describe architectural differences in

processors


Exams



Resource(s)

Time

(Hours)

1 Basic structure of computers Textbook/ Course

Notes

3

2 Instruction set Architecture Textbook/ Course 3

Course

Code COM302

Course

Name Computer Architecture and Embedded Systems

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

3 Instruction set Architecture Textbook/ Course

Notes

3

4 Basic Input & Output Textbook/ Course

Notes

3

5 Software Textbook/ Course

Notes

3

6 Basic processing unit Textbook/ Course

Notes

3

7 Pipelining Textbook/ Course

Notes

3

8 Midterm Exam 2

9 Input & Output organization Textbook/ Course

Notes

3

10 The memory system Textbook/ Course

Notes

3

11 Arithmetic Textbook/ Course

Notes

3

12 Embedded systems Textbook/ Course

Notes

3

13 Embedded systems Textbook/ Course

Notes

3

14 System-on-a-chip Textbook/ Course

Notes

3

15 Parallel processing and performance Textbook/ Course

Notes

3

16 Final Exam 2

17 Final Exam

Sources

Course

notes/textbooks

: Computer Organization and Embedded Systems, C. Hamacher, Z. Vransevic, S. Zaky,

and N. Manjikian, 6th

ed. McGraw-Hill.

Readings :

Supplemental

readings

: Wayne Wolf,Computers as Components: Principles of Embedded Computing

System Design.

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects 2 35

COURSE INFORMATION


Others

Final exam 1 40

Total 100



Total 100





course 14 2 28


Final exam 1 2 2


project 6 6 36




exam 4 6 24

Total 154




LO1 3 2 3 3 3 1 2 3 2 3 3 2

LO2 4 3 3 4 4 3 1 4 2 3 4 4

LO3 4 2 4 4 4 3 2 2 2 2 4 3

LO4 4 4 4 3 3 2 1 3 2 2 4 4

LO5 3 2 2 3 3 4 4 3 3 4 2 3

LO6 3 4 3 2 3 2 2 3 2 2 3 4


COURSE INFORMATION









: To define generally the concepts of signal and system, to teach the available

methods for analyzing linear time invariant (LTI) system and signal representation. In

this respect, to get the students to gain ability on theoretically analyzing and

interpreting the signal and system behaviors.

Course contents

: Introduction to signals and systems, time-domain analysis of continuous-time

LTI systems, time domain analysis of discrete-time LTI systems, continuous

time LTI system analysis using the Laplace transform, discrete time LTI

system analysis using the z-transform, frequency-domain analysis of

continuous time LTI systems / frequency domain analysis of discrete time LTI

systems, MATLAB applications.






Methods/Techniques



1 Learn to model fundamental signals and

systems


Discussion

Midterm and Final

Exams

2 Gain ability to perform frequency domain

analysis of continuous time and discrete time

signals and systems


Discussion

Midterm and Final

Exams

3 Gain ability to constitute the continuous time

and discrete time system models and make

transient and steady-state analyses.


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Signal definition and classification, Fundamental continuous

time and discrete time signal models

Textbook/ Lecture

Notes

3

2 System definition, classification of systems and its principal

properties

Textbook/ Lecture

Notes

3

3 Time domain analysis of continuous time LTI systems Textbook/ Lecture

Notes

3

Course

Code EEE301

Course

Name Signals and Systems

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

4 Time domain analysis of discrete time LTI systems Textbook/ Lecture

Notes

3

5 Analysis of continuous time LTI systems using Laplace

transform

Textbook/ Lecture

Notes

3

6 Bode plots and filter design Textbook/ Lecture

Notes

3

7 Analysis of discrete time LTI systems using z-transform Textbook/ Lecture

Notes

3

8 Midterm Exam 2

9 Relationship between Laplace and z-transform, bode plots,

filter design

Textbook/ Lecture

Notes

3

10 Frequency domain analysis of continuous time LTI systems,

Fourier transform

Textbook/ Lecture

Notes

3

11 Periodic signals and generalized Fourier series Textbook/ Lecture

Notes

3

12 Frequency domain analysis of discrete time LTI systems,

Fourier transform, discrete time Fourier transform

Textbook/ Lecture

Notes

3

13 Periodic signals and discrete Fourier transform Textbook/ Lecture

Notes

3

14 Fast Fourier transform Textbook/ Lecture

Notes

3

15 MATLAB applications Textbook/ Lecture

Notes

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: A. V. Oppenheim, A. S. Willsky, S. H. Nawab, Signals and Systems, Second Ed.,

Prentice Hall, 1996.

Readings :

Supplemental

readings : MATLAB User’s manual

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

COURSE INFORMATION

Total 100



Total 100





course 8 4 32


MATLAB applications 4 4 16


Final exam 1 3 3


homework




exam 6 5 30

Total 155




LO1 5 5 1 3 4 3 1 1 2 1 3 1

LO2 5 5 1 3 4 3 1 1 2 1 3 1

LO3 5 5 1 3 4 3 1 1 2 1 3 1


COURSE INFORMATION









: To introduce the general structure and basic concepts of a typical control system. To

introduce the feedback concept. Analysis and design in time- and frequency-domain.

Stability concept. Design PID controllers.

Course contents

: Fundamental concepts in control systems, analysis in time-domain, stability,

design in time-domain, analysis in frequency-domain, design in frequency-

domain, PID controllers






Methods/Techniques



1 Learn the fundamental concepts of system

theory and control


Discussion

Midterm and Final

Exams

2 Gain ability to analyze control systems and to

understand stability by using time and

frequency domain tools


Discussion

Midterm and Final

Exams

3 Be able to design compensators to meet both

time- and frequency-domain specifications


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Mathematical models of physical systems, feedback, open and

closed loop control systems

Textbook/ Lecture

Notes

3

2 Transfer functions, block diagrams Textbook/ Lecture

Notes

3

3 Block diagram reduction, computation of transfer function via

signal flow graphs

Textbook/ Lecture

Notes

3

4 Time-domain analysis: transient and steady-state analysis Textbook/ Lecture

Notes

3

5 Stability of control systems: BIBO stability and Routh

analysis

Textbook/ Lecture

Notes

3

6 Root-locus analysis Textbook/ Lecture 3

Course

Code EEE302

Course

Name Automatic Control Systems

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

7 Design by root-locus: lead, lag and lead-lag compensations Textbook/ Lecture

Notes

3

8 Midterm Exam 2

9 Frequency-domain analysis: Bode diagrams Textbook/ Lecture

Notes

3

10 Frequency-domain analysis: Nyquist diagrams and Nyquist

stability criteria

Textbook/ Lecture

Notes

3

11 Frequency-domain analysis: phase and gain margins, relative

stability

Textbook/ Lecture

Notes

3

12 Frequency-domain analysis: Nichols chart Textbook/ Lecture

Notes

3

13 Frequency-domain design: : lead and lag compensations Textbook/ Lecture

Notes

3

14 Frequency-domain design: : lead-lag compensation Textbook/ Lecture

Notes

3

15 PID controllers: classical and modern approaches Textbook/ Lecture

Notes

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Modern Control Engineering, OGATA, Prentice Hall, 2002.

Readings :

Supplemental

readings : MATLAB User’s manual

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

Total 100



Total 100

COURSE INFORMATION





course 6 5 30


Final exam 1 3 3


homework




exam 5 5 25

Total 127




LO1 5 5 3 2 3 1 1 2 1 3 1 5

LO2 5 5 3 3 3 2 2 2 1 3 1 5

LO3 5 5 3 4 3 1 1 2 1 3 1 5


COURSE INFORMATION









: To learn the fundamentals of microprocessors and microcomputers. The students

will also learn to write programs in Assembly language that will run on 8086

microprocessor based microcomputers.

Course contents

: Introduction to microprocessors, assembly language, microprocessor

architecture and microcomputer systems, hardware structure of 8086, 8086

basic command structures, A/D and D/A conversion process, programming of

general purpose peripherals






Methods/Techniques



1 Learn the fundamentals of microprocessors

and microcomputer structure


Discussion

Midterm and Final

Exams

2 Learn the assembly language of 8086

microprocessor


Discussion

Midterm and Final

Exams

3 Learn to interface and program the

peripherals


Discussion

Midterm and Final

Exams

4 Learn the fundamentals of PC operating

systems


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Microprocessors and assembly language Textbook/ Lecture

Notes

2

2 Memory input/output and interface devices Textbook/ Lecture

Notes

2

3 Hardware structure of 8086 microprocessor Textbook/ Lecture

Notes

2

4 Instruction set of 8086 microprocessor Textbook/ Lecture

Notes

2

5 Assembly language and programming techniques Textbook/ Lecture 2

Course

Code EEE307

Course

Name Microprocessors

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

6 Time delay and counter operations of 8086 Textbook/ Lecture

Notes

2

7 Stack operations and subroutines Textbook/ Lecture

Notes

2

8 Midterm Exam 2

9 Code conversion, BCD arithmetic, and 16-bit data operations Textbook/ Lecture

Notes

2

10 Interfacing peripherals Textbook/ Lecture

Notes

2

11 Interfacing peripherals Textbook/ Lecture

Notes

2

12 Interrupt operations Textbook/ Lecture

Notes

2

13 Interrupt operations Textbook/ Lecture

Notes

2

14 D/A and A/D conversions and applications Textbook/ Lecture

Notes

2

15 General purpose programmable peripherals Textbook/ Lecture

Notes

2

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : 8086 Microprocessor: Programming and Interfacing the PC by Kenneth Ayala

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation


Report(s)


Seminar

Projects


Others

Final exam 1 50

Total 100



COURSE INFORMATION

Total 100




Laboratory hours 6 2 12


course 5 5 25

Individual study for labs 6 5 30


Final exam 1 3 3


homework




exam 5 5 25

Total 150




LO1 5 5 1 4 5 5 4 3 5 2 3 1

LO2 5 5 1 4 5 5 4 3 5 2 3 1

LO3 5 5 1 4 5 5 4 3 5 2 3 1

LO4 5 5 1 4 5 5 4 3 5 2 3 1


COURSE INFORMATION









: To teach digital processing methods of continuous-time signals and the

fundamentals of digital filter design and to gain ability for implementing signal

processing applications in various fields such as communication.

Course contents

: Signals and signal processing: General overview, discrete-time signals and

systems in the time-domain, discrete-time linear time-invariant systems,

frequency domain analysis of discrete-time signals, frequency domain analysis

of discrete-time systems, digital processing of continuous-time signals, z-

transform, applications of z-transform, discrete Fourier transform (DFT) and

fast Fourier transform (FFT), digital Filter structures, FIR filter design

methods, IIR filter design methods, analysis of finite word length effect in

digital filters.






Methods/Techniques



1 understand the digitization of continuous-time

signal and the sampling theorem.


Discussion

Midterm and Final

Exams

2 model, analyze, and implement analog to

digital and digital to analog conversions.


Discussion

Midterm and Final

Exams

3 learn the structure and implementation of

digital filters.


Discussion

Midterm and Final

Exams



Resource(s)

Time

(Hours)

1 Digitization of continuous time signals, sampling theorem,

advantages of digital signal processing

Textbook/ Lecture

Notes

3

2 Examples of typical signals and typical signal processing

applications, up sampling and down sampling

Textbook/ Lecture

Notes

3

3 Discrete-time signals and systems Textbook/ Lecture

Notes

3

4 Discrete-time linear time-invariant systems Textbook/ Lecture 3

Course

Code EEE308

Course

Name Digital Signal Processing

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Undergrad 6 English 3 0 0 3 6

COURSE INFORMATION

Notes

5

Frequency domain analysis of discrete-time signals: Discrete-

time Fourier series (DTFS) and Discrete-time Fourier

transform (DTFT)

Textbook/ Lecture

Notes

3

6 Frequency domain analysis of discrete-time systems Textbook/ Lecture

Notes

3

7 Sampling in time- and frequency domain, A/D and D/A

conversions, signal reconstruction

Textbook/ Lecture

Notes

3

8 Midterm Exam 2

9 z-transform Textbook/ Lecture

Notes

3

10 Applications of z-transform Textbook/ Lecture

Notes

3

11 Discrete Fourier transform (DFT) and Fast Fourier transform

(FFT)

Textbook/ Lecture

Notes

3

12 Digital Filter structures Textbook/ Lecture

Notes

3

13 FIR filter design methods Textbook/ Lecture

Notes

3

14 IIR filter design methods Textbook/ Lecture

Notes

3

15 Analysis of finite word length effect in digital filters Textbook/ Lecture

Notes

3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Discrete-Time Signal Processing by Alan Oppenheim and Ronald Schafer

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 60

COURSE INFORMATION

Total 100



Total 100





course 7 5 35


Final exam 1 3 3


homework




exam 7 5 35

Total 153




LO1 5 5 1 3 3 3 1 1 2 1 3 1

LO2 4 5 2 3 4 3 2 3 2 1 4 1

LO3 5 4 1 3 4 3 2 1 2 1 3 1


COURSE INFORMATION



for Admission : IND 202 Operations Research 1



Course lecturer(s) : Dr. G. Sena Daş



: This course introduce deterministic models of Operations Research (OR)

with a focus on some OR techniques such as Integer Programming, Dynamic

Programming, Goal Programming, Nonlinear Programming and Network

Optimization.

Course contents : Topics will include; Integer Programming, Dynamic Programming, Goal

Programming, Network Optimization Models, Nonlinear Programming.


program components :-




Teaching

Methods/Techniques


1 Create a mathematical model for integer

programming problems

Lecture, question-

answer, discussion,

problem solving

Quiz, homework, exam

2 Use solution methods for special classes of

network optimization problems.

Lecture, question-

answer, discussion,

problem solving


3 Use special methods of solution of integer

programming problems.

Lecture, question-

answer, discussion,

problem solving


4 Create a mathematical model for nonlinear

programming problems.

Lecture, question-

answer, discussion,

problem solving


5 Use the methods of solution needed to solve

nonlinear programming problems.

Lecture, question-

answer, discussion,

problem solving


6 Use the Simplex method to find the optimal

solution of Goal Programming models

Lecture, question-

answer, discussion,

problem solving


7 Use appropriate software to solve mentioned

mathematical models.

Lecture, question-

answer, discussion,

problem solving


Course

Code IND 301

Course

Name Operations Research 2

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Bachelor Spring English 3 0 0 3 6

COURSE INFORMATION



Resource(s)

Time

(Hours)

1 Introduction to Integer Programming Textbook/ Course

Notes

3

2 Integer Programming: Branch and Bound, Branch and Cut Textbook/ Course

Notes

3

3 Integer Programming: Cutting Plane Algorithm Textbook/ Course

Notes

3

4 Basic concepts of network models Textbook/ Course

Notes

3

5 Network optimization problems (minimum spanning tree

problems)

Textbook/ Course

Notes

3

6 Network optimization problems (shortest path problems) Textbook/ Course

Notes

3

7 Network optimization problems (maximum flow problems) Textbook/ Course

Notes

3

8 Midterm exam Textbook/ Course

Notes

3

9 Network simplex method Textbook/ Course

Notes

3

10 Network optimization problems Textbook/ Course

Notes

3

11 Introduction to Nonlinear Programming Textbook/ Course

Notes

3

12 Optimality conditions of Nonlinear Programming problems-

Midterm exam

Textbook/ Course

Notes

3

13 Goal Programming Textbook/ Course

Notes

3

14 Dynamic Programming Textbook/ Course

Notes

3

15 Dynamic Programming Textbook/ Course

Notes

3


Notes

3


Notes

Sources

Course

notes/textbooks

: Taha, Hamdy A., Operations Research: An Introduction, Eighth Edition, Prentice-Hall

International, Inc., 2007.

Readings : Related articles

Supplemental

readings

: Winston, Wayne L., Operations Research: Applications and Algorithms, Fourth

Edition, Brooks/Cole-Thomson Learning, 2004.

Hillier, Frederick S. and Lieberman, Gerald J., Introduction to Operations Research,

Eighth Edition, McGraw-Hill, 2005.

References :

COURSE INFORMATION

Evaluation System


Attendance

Quizzes 4 15

Homework 4 15

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 40

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework 3 2 6


presentation


project


quizzes 4 2 8




exam 1 30 30

Total 153




LO1 2 4 3 4 3 3 3 5 3 3 3 1

LO2 1 2 1 2 4 1 5 5 1 3 1 2

LO3 3 4 3 4 2 3 2 3 2 1 3 2

COURSE INFORMATION

LO4 3 3 2 2 1 1 2 3 4 5 5 5

LO5 3 1 3 1 4 4 1 3 1 5 1 2

LO6 2 2 3 2 1 4 2 4 2 1 2 1

LO7 1 2 2 3 2 3 3 4 4 3 3 5


COURSE INFORMATION



for Admission IND 202 Operations Research I

Mode of delivery : Face-to-face





: To deliver background information about aggregate production planning,

inventory management and scheduling for enhancing competitiveness of an

organization

Course contents :Production planning strategies, Inventory management and EOQ models


program components :No

Compulsory Attendance :Yes



Methods/Techniques


At the end of this course,students will be able

to

1 Identify production planning levels and

aggregate production plan strategies

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

2 Prepare aggregate production planning;

calculate the total cost of production plan for

given cost information and type of strategy

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

3 Formulate a mathematical model including

the decision variables for an aggregate

production planning problem and solve using

a general purpose software solver

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

4 Perform material and capacity requirement

planning

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

5 Perform production scheduling operations.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam



Resource(s)

Time

(Hours)

1 Basic concepts of aggregate production planning

Course

notes/textbooks

3

Course

Code IND 302

Course

Name PRODUCTION PLANNING AND CONTROL

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2 Mathematical models for aggregate production planning

Course

notes/textbooks

3

3 Mathematical models for aggregate production planning

Course

notes/textbooks

3

4 Demand Forecast

Course

notes/textbooks

3

5 Demand Forecast

Course

notes/textbooks

3

6 Inventory management and EOQ models

Course

notes/textbooks

3

7 Inventory management and EOQ models

Course

notes/textbooks

3

8 Midterm Exam

Course

notes/textbooks

3

9 Material Resource Planning

Course

notes/textbooks

3

10 Material Resource Planning

Course

notes/textbooks

3

11 Re-order Policies

Course

notes/textbooks

3

12 Re-order Policies

Course

notes/textbooks

3

13 Q,R optimization and periodic review systems

Course

notes/textbooks

3

14 Q,R optimization and periodic review systems

Course

notes/textbooks

3

15 Scheduling

Course

notes/textbooks

3

16 Final Exam

Course

notes/textbooks

3

17 Final Exam

Sources

Course

notes/textbooks

: 1. “Production Planning, Control and Integration”,

D. Sipper and R. Bulfin, McGraw-Hill, 1997.

2. “Operations Research in Production Planning, Scheduling,

and Inventory Control”, D.C. Montgomery, L. A. Johnson,

John Wiley & Sons, 1974

Readings :None

Supplemental

readings :None

References : Operations Research: Applications and Algorithms by Wayne L. Winston, Duxbury

Press, 1997

Evaluation System


Attendance 16 5

Quizzes 4 10

Homework 4 10

COURSE INFORMATION

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects 1 20


Others

Final exam 1 30

Total 100



Total 100





course 10 2 20


Final exam 1 3 3


homework 4 3 12


presentation


project 6 5 30





exam 4 5 20

Total 152




LO1 5 5 5 5 5 4 2 3 3 3 2 2

LO2 5 2 5 3 5 4 3 3 3 3 2 3

LO3 2 3 5 5 5 4 2 3 3 3 3 2

LO4 5 5 3 5 5 4 2 3 3 3 4 2

LO5 5 5 5 5 5 4 2 3 3 3 5 3


COURSE INFORMATION



for Admission IND 204 Statistics





Course description/aim : To use the statistical methods and other quality tools to improve product

quality

Course contents :Basic concepts of Quality, Control Charts for Variables, Control Charts for

Attributes, Statistical Process Control






Methods/Techniques


At the end of this course, students will be able

to

1 Comprehend the meaning of quality and

distinguishes between quality of design and

quality of conformance.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

2 Understand the basics of control chart design,

i.e., effects of choice of control limits, sample

size, and sampling frequency on process

control

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

3 Choose an appropriate control chart for a

given process and use it for process

improvement

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

4 Draw a phase I control chart, and show the

phase II limits on the chart by using

MINITAB

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam



Resource(s)

Time

(Hours)

1 Meaning of Quality and Quality Improvement, Dimensions of

Quality

Statistical Quality

Control

3

2 Total Quality and Watershed in the History of Quality

Statistical Quality

Control

3

3 Chance and Assignable Causes, Basic Principles of Control

Charts

Statistical Quality

Control

3

Course

Code IND 305

Course

Name QUALITY ASSURANCE AND RELIABILITY

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

4 Phase I and Phase II Application of Quality Charts, and Other

Quality Tools

Statistical Quality

Control

3

5 Control Chats for Variables

Statistical Quality

Control

3

6 Control Chats for Variables ( Con't)

Statistical Quality

Control

3

7 Control Charts for Attributes

Statistical Quality

Control

3

8 Midterm

Statistical Quality

Control

3

9 Control Charts for Attributes (Con't)

Statistical Quality

Control

3

10 Process Capability Analysis

Statistical Quality

Control

3

11 Process Capability Analysis ( Con't)

Statistical Quality

Control

3

12 Process Capability Analysis Using a Control Chart

Statistical Quality

Control

3

13 Basic Concepts of Gauge Capability

Statistical Quality

Control

3

14 Gauge Capability ( Con't)

Statistical Quality

Control

3

15 Projects Statistical Quality

Control

3

16 Final Exam Statistical Quality

Control

3

17 Final Exam

Sources

Course

notes/textbooks : Statistical Quality Control, D.C. Montgomery, 6th edition, Wiley

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance 16 5

Quizzes 4 10

Homework 4 10

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects 1 20


Others

COURSE INFORMATION

Final exam 1 30

Total 100



Total 100





course 15 2 30


Final exam 1 3 3


homework 4 3 12


presentation


project 6 5 30





exam 4 5 20

Total 152




LO1 5 5 5 5 5 2 5 3 3 2 2 5

LO2 5 4 4 5 5 4 5 3 3 3 2 5

LO3 3 5 5 5 5 2 5 3 3 3 3 4

LO4 5 5 5 5 5 4 5 3 4 2 2 5


COURSE INFORMATION



for Admission IND 204 Statistics


Course coordinator




: Introduction to Simulation; Review of Simulation Models; Statistical Models for

Simulation; Queueing Models; Inventory Systems; Random Numbers; Input Data

Analysis; Output Analysis; Verification & Validation of Simulation Models;

Evaluation of Alternative System Designs

Course contents :



Compulsory Attendance :Yes



Methods/Techniques


At the end of this course, students will be able

to

1 Design a system, component, or process to

meet the requirements within realistic

constraints.

Oral Presentation, Lab Quiz, lab homework,

project, exam

2 Develop a simulation model of a system and

simulate the system by hand.


project, exam

3 Generate random variates using random

numbers for a given probability distribution.


project, exam

4 Develop, run, verify, and validate a

simulation model using ARENA


project, exam

5 Design and conduct experiments, as well as to

analyze and interpret data.


project, exam



Resource(s)

Time

(Hours)

1 Introduction, Types of Simulation.

Course

notes/textbooks

3

2 Advantages and disadvantages of simulation. Steps in

simulation.

Course

notes/textbooks

3

3 Components of discrete event simulation. Collection of

statistics. Hand simulation.

Course

notes/textbooks

3

4 Probability and Statistics review. Course 3

Course

Code IND 306

Course

Name SIMULATION

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

notes/textbooks

5 Simulation of a Single-Server Queueing System.

Course

notes/textbooks

3

6 Random Number Generators Course

notes/textbooks

3

7 Generating Random Variables. Inverse-Transform Technique.

Acceptance-Rejection Technique.

Course

notes/textbooks

3

8 Midterm Exam

Course

notes/textbooks

3

9 Input Distribution Fitting: Histogram, PP, and QQ chart.

Course

notes/textbooks

3

10 Input Distribution Fitting: Goodness of fit tests: Chi-square

test, KS test.

Course

notes/textbooks

3

11 Verification and Validation of Simulation Models.

Course

notes/textbooks

3

12 Output Analysis: Confidence Interval, Terminating

simulations.

Course

notes/textbooks

3

13 Output Analysis: Warm-up period, autocorrelation. Non-

terminating simulations.

Course

notes/textbooks

3

14 Output Analysis: Comparison and Evaluation of Alternative

System Designs.

Course

notes/textbooks

3

15 Variance Reduction Techniques: Indirect measures, control

variants.

Course

notes/textbooks

3

16 Final Exam

Course

notes/textbooks

3

17 Final Exam

Sources

Course

notes/textbooks

: 1. Banks, J., Carson II, J.S. and Nelson, B.L. (2009). Discrete-Event System

Simulation (5th ed.). Prentice Hall. 0136062121.

2. Kelton, W.D., Sadowski, R.P., and Sturrock, D.T. (2010). Simulation with Arena

(5th ed.). McGraw-Hill. 0072919817.

Readings :

Supplemental

readings

: 1. Law, A.M. and Kelton, W.D. (2000). Simulation Modeling and Analysis (3rd ed.).

McGraw-Hill. 0070592926.

References :

Evaluation System


Attendance 16 5

Quizzes

Homework 4 10

Presentation


Report(s)


Seminar

Projects 1 20


COURSE INFORMATION

Others

Final exam 1 30

Total 100



Total 100





course 15 2 30


Final exam 1 3 3


homework 4 3 12


presentation


project 4 5 20





exam 4 5 20

Total 152




LO1 5 5 5 5 5 3 2 3 3 4 1 2

LO2 3 5 3 5 5 4 3 3 2 3 1 3

LO3 3 2 5 2 3 3 2 2 3 4 1 2

LO4 5 5 5 5 5 4 3 3 3 3 1 2

LO5 5 5 3 5 5 4 2 3 3 4 1 2


COURSE INFORMATION



for Admission :None






: To introduce the basic probability concepts such as probability, random variables,

and their distribution functions and to teach basic statistical techniques used in

parameter estimation

Course contents : Random Variables, Discrete and Continuous Probability Distributions,

Sampling Distributions, Sample Statistics, Hypothesis Testing and p-value






Methods/Techniques



1 Comprehend the basic concepts of probability

such as conditionality, independence of

events, expected value and randomness.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

2 Decide in which situations to apply discrete

and continuous distributions.

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

3 Compute measures of central tendency (mean,

median) and deviation (range, standard

deviation) of a given sample and population

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

4 Formulate an appropriate one or two sided

hypotheses test, performs the test and clearly

states the result of the test in the problem

context

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam

5 Comprehend the meaning of P- value and

decides on whether to reject the null

hypothesis based on P-value

Lecture, question-

answer, discussion,

problem solving

Quiz, homework,

project, exam



Resource(s)

Time

(Hours)

1 Introduction to Probability Course

notes/textbooks

3

2 Axioms and Theorems of Probability, Conditional Probability Course 3

Course

Code IND 323

Course

Name PROBABILITY AND STATISTICS

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

and Bayes Theorem notes/textbooks

3 Random Variables Course

notes/textbooks

3

4 Functions of a Random Variable and Computation of

Expected Value

Course

notes/textbooks

3

5 Discrete Probability Distributions Course

notes/textbooks

3

6 Discrete Probability Distributions (cont’d) Course

notes/textbooks

3

7 Continuous Probability Distributions Course

notes/textbooks

3

8 Midterm Exam Course

notes/textbooks

3

9 Sample and Population Mean, Variance, Stem and Leaf

Diagram

Course

notes/textbooks

3

10 Sampling Distribution of Means and Central Limit Theorem

Course

notes/textbooks

3

11 Interval Estimation for a Single Sample: Confidence Intervals

(Known Variance)

Course

notes/textbooks

3

12 Confidence Intervals (Unknown Variance): t-distribution,

Large Sample CIs

Course

notes/textbooks

3

13 Hypotheses Testing for a Single Sample (Known Variance):

Type 1, Type 2 error, Power of a Test

Course

notes/textbooks

3


t-test, chi-square test

Course

notes/textbooks

3

15

Hypotheses Testing for Two Samples: Inference for a

difference of two means. Hypotheses Testing for Two

Samples: paired t-test

Course

notes/textbooks

3

16 Final Exam

Course

notes/textbooks

3

17 Final Exam

Course

notes/textbooks

Sources

Course

notes/textbooks

: Douglas C. Montgomery and George C. Runger , Applied Statistics and Probability for

Engineers, 5th edition, Wiley

Readings :

Supplemental

readings



References :

Evaluation System


Attendance 16 5

Quizzes 4 10

Homework 4 10

Presentation

Laboratory/Practice

Report(s)

COURSE INFORMATION


Seminar

Projects 1 20


Others

Final exam 1 30

Total 100



Total 100





course 10 2 20


Final exam 1 3 3


homework 4 2 8


presentation


project 6 5 30





exam 3 5 15

Total 150




LO1 2 3 4 4 5 3 1 4 3 2 1 2

LO2 2 2 3 4 3 4 1 2 2 4 1 3

LO3 4 3 4 4 3 5 1 4 3 4 1 3

LO4 4 4 4 3 4 3 1 5 4 3 1 3

LO5 5 4 4 4 4 4 1 4 4 3 1 3


COURSE INFORMATION








Course description/aim : To get the necessary basic knowledge about Numerical Methods

Course contents

: Mathematical modeling and programming. Approximate calculations. Error

analysis, cutting and rounding errors. Methods of numerical solution of

algebraic equations. Solutions of linear equations: Gauss Elimination method,

LU-Partitioning and replication methods. Matrix inverse calculation. Curve

fitting. Regression. Interpolation: Lagrange, Newton and Gauss formulas.

Numerical integration methods: trapezoidal, Simpson and Romberg methods.

Methods of numerical solution of ordinary differential equations: Euler and

Runge-Kutta methods.






Methods/Techniques



1 Aware of Mathematical modeling and programming, Approximate calculations, error analysis, cutting and rounding errors

Example problem

solving

Exam, questions and

answers

2 Know the methods of numerical solution of algebraic equations

Example problem

solving

Exam, questions and

answers

3 Know the methods of solutions of linear equations( Gauss Elimination method LU-Partitioning and Replication).

Example problem

solving

Exam, questions and

answers

4 Aware of Matrix inverse calculation, Curve fitting, Regression. Interpolation: Lagrange, Newton and Gauss formulas. Numerical integration

Example problem

solving

Exam, questions and

answers

5 Know the methods of numerical solution of ordinary differential equations

Example problem

solving

Exam, questions and

answers

6 Aware of the Euler and Runge-Kutta methods Example problem

solving

Exam, questions and

answers

Course

Code MAT3xx

Course

Name Numerical Methods

Type

of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION



Resource(s)

Time

(Hours)

1 Mathematical modeling and programming. Approximate calculations. Error analysis, cutting and rounding errors.

Textbook/ Lecture

Notes

3

2 Methods of numerical solution of algebraic equations. Solutions of linear equations

Textbook/ Lecture

Notes

3

3 Gauss Elimination method, LU-Partitioning and replication methods.

Textbook/ Lecture

Notes

3

4 Gauss Elimination method, LU-Partitioning and replication methods.

Textbook/ Lecture

Notes

3

5 Matrix inverse calculation. Textbook/ Lecture

Notes

3

6 Curve fitting. Textbook/ Lecture

Notes

3

7 Regression. Interpolation: Lagrange, Newton and Gauss formulas.

Textbook/ Lecture

Notes

3


Notes

2

9 Regression. Interpolation: Lagrange, Newton and Gauss formulas.

Textbook/ Lecture

Notes

3

10 Numerical integration methods: trapezoidal, Simpson and Romberg methods.

Textbook/ Lecture

Notes

3

11 Numerical integration methods: trapezoidal, Simpson and Romberg methods.

Textbook/ Lecture

Notes

3

12 Methods of numerical solution of ordinary differential equations Midterm Exam II

Textbook/ Lecture

Notes

3

13 Methods of numerical solution of ordinary differential equations

Textbook/ Lecture

Notes

3

14 Euler and Runge-Kutta methods. Textbook/ Lecture

Notes

3

15 Euler and Runge-Kutta methods. Textbook/ Lecture

Notes

3


Notes

3


Notes

Sources

Course

notes/textbooks

Numerical Methods in Engineering Practice by AW. Al-Khafaji, JR. Tooley

Readings :

Supplemental

readings :

References :

COURSE INFORMATION

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 50

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework




exam 3 10 30

Total 127




LO1 5 2 2 2 1 2 3 3 3 3 4 2

LO2 5 2 2 4 1 2 3 3 1 3 3 3

LO3 5 2 2 3 2 2 3 3 1 2 3 2

LO4 5 2 2 4 1 2 3 4 2 3 4 2

LO5 5 2 2 2 2 2 3 3 2 3 4 2

LO6 5 2 2 4 1 2 3 3 1 3 3 2


COURSE INFORMATION









:To gain knowladge about casting, welding, and machining processes to

introduce the principles of these processes, currently used equipments and

application fields, to teach basic calculations for the used methods.

Course contents

: Iron and steel fabrication. Casting and welding techniques. Heat process of

metals. Cold and hot shaping of metals. Metal cutting techniques. Metrology.

Powder metallurgy.






Methods/Techniques



1 Have knowledge about the principles and

applications fields of manufacturing

processes.

Lecture and problem

solving

Testing and homework

2 Have knowledge about the advantages and

disadvantages of each manufacturing

processes among others.

Lecture and problem

solving


3 Know and choose the appropriate equipment

for the process.

Lecture and problem

solving


4 Choose the appropriate manufacturing

process for a significant machine element in

designing process.

Lecture and problem

solving


5 Calculate basic equations for a traditional

manufacturing process.

Lecture and problem

solving


6 Choose the parameter for a specific process. Lecture and problem

solving




Resource(s)

Time

(Hours)

1 Classification of modern welding methods in general, physical

princibles

Textbook/ Lecture

Notes

3

2 Arc welding methods and equipments Textbook/ Lecture 3

Course

Code MEC301

Course

Name Manufacturing Techniques

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

3 Advanced welding techniques and equipments Textbook/ Lecture

Notes

3

4 Introduction to casting technology, classification of casting

methods, metallurgical principles, solidification, patterns

Textbook/ Lecture

Notes

3

5 Sand casting, molding materials, molding machines, shell

mold casting, precision cast

Textbook/ Lecture

Notes

3

6 Permanent mold casting, pressure casting, centrifugal casting,

melting furnaces, finishing operations

Textbook/ Lecture

Notes

3

7 Classifications of plastic forming methods, mechanical and

metallurgical principles

Textbook/ Lecture

Notes

3


Notes

2

9 Hot forming, rolling, extrusion and forging methods Textbook/ Lecture

Notes

3

10 Cold forming methods, wire drawing, steel plate forming,

cutting, bending, spinning, deep drawing, presses

Textbook/ Lecture

Notes

3

11 Classification of machining processes and principles, chip

generation, tools and tools life

Textbook/ Lecture

Notes

3

12 Turning, milling, planning machine

Midterm Exam II

Textbook/ Lecture

Notes

3

13 Milling cutter, broaching screwing, grinding, finishing

operations

Textbook/ Lecture

Notes

3

14 Powder metallurgy Textbook/ Lecture

Notes

3

15 Powder metallurgy Textbook/ Lecture

Notes

3


Notes

3


Notes

Sources

Course

notes/textbooks : Making It: Manufacturing Techniques for Product Design by C. Lefteri

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

COURSE INFORMATION

Projects


Others

Final exam 1 50

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework




exam 4 10 40

Total 177




LO1 5 5 5 3 1 1 2 1 2 1 5 3

LO2 5 5 2 3 2 1 2 1 2 2 5 3

LO3 3 2 5 3 2 1 2 1 2 1 3 3

LO4 3 5 4 4 1 1 2 1 2 2 5 3

LO5 5 4 5 3 1 1 2 1 2 1 3 3

LO6 5 5 5 3 2 1 2 1 2 1 5 3


COURSE INFORMATION








Course description/aim : This course presents machine design considering static and dynamic force analysis

of machines and kinematic analysis and syntheses of mechanisms .

Course contents

:Basic principles of mechanisms, static and dynamic force analysis of

machines, single dof damped and undamped vibrations, resonance, critical

speed of rotary elements, balancing of machines, dynamics of cam

mechanisms.






At the end of this course, students will be able to: 1. Know the basic principles of

mechanisms Theoretical Lecture, Solving

Exercises

Homeworks, Question-Answer,

Exams 2. Interpret kinematic behavior of

mechanisms Theoretical Lecture, Solving

Exercises


Exams 3. Perform force analysis of

machines Theoretical Lecture, Solving

Exercises


Exams 4. Grasp the vibrations of single

degree of freedom systems Theoretical Lecture, Solving

Exercises


Exams 5. Know the principles of resonance Theoretical Lecture, Solving

Exercises


Exams 6. Determine the critical speeds of

shafts Theoretical Lecture, Solving

Exercises


Exams 7. Know the principles of vibration

measurement devices Theoretical Lecture, Solving

Exercises


Exams 8. Know vibration isolation Theoretical Lecture, Solving

Exercises


Exams 9. Perform mass balancing of


Exercises


Exams 10. Calculate balancing of the rotors Theoretical Lecture, Solving

Exercises


Exams 11. Obtain smooth movement of the


Exercises


Exams 12. Select appropriate flywheel Theoretical Lecture, Solving

Exercises


Exams 13. Know the dynamics of the cam Theoretical Lecture, Solving Homeworks, Question-Answer,

Course

Code MEC 304

Course

Name Theory of Machine

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Bachelor. 6 English 3 0 0 3 6

COURSE INFORMATION mechanisms Exercises Exams



Resource(s)

Time

(Hours)

1 Introduction: Mechanisms Textbook/Lecture

Notes

3

2 Basic principles of mechanisms, Textbook/Lecture

Notes

3

3 Static and dynamic force analysis of machines, Textbook/Lecture

Notes

3

4 Static and dynamic force analysis of machines, Textbook/Lecture

Notes

3

5 Single dof damped and undamped vibrations, Textbook/Lecture

Notes

3


Notes

3


Notes

3

8 Midterm Exam I Textbook/Lecture

Notes

2

9 Resonance, Textbook/Lecture

Notes

3

10 Critical speed of rotary elements, Textbook/Lecture

Notes

3

11 Critical speed of rotary elements, Textbook/Lecture

Notes

3

12 Balancing of machines,

Midterm Exam II

Textbook/Lecture

Notes

3

13 Balancing of machines, Textbook/Lecture

Notes

3

14 Dynamics of cam mechanisms. Textbook/Lecture

Notes

3

15 Dynamics of cam mechanisms. Textbook/Lecture

Notes

3

16 Final Exam Textbook/Lecture

Notes

3

17 Final Exam Textbook/Lecture

Notes

Sources

Course

notes/textbooks : Theory of Machines and Mechanisms by J. Uicker, G. Pennock and J. Shigley

Readings :

COURSE INFORMATION

Supplemental

readings :

References :

Evaluation System


Attendance 42 5

Quizzes

Homework 4 5

Laboratory/Practice

Report(s)


Seminar

Presentation

Projects


Others

Final exam 1 50

Total 100



Total 100





Final exam 1 3 3


homework 4 8 32


presentation 0 0 0


project 0 0 0




exam 4 10 40

Total 161




LO1 5 5 5 5 5 5 1 5 5 5 5 4 LO2 5 5 5 4 5 5 5 2 5 5 5 3 LO3 5 5 5 5 4 5 1 5 5 5 5 4

COURSE INFORMATION LO4 5 5 5 4 5 4 1 5 5 5 5 3 LO5 5 5 5 5 5 5 3 2 3 5 5 2 LO6 5 5 5 4 5 5 1 5 5 5 5 3 LO7 5 5 5 5 4 5 1 5 5 5 5 2 LO8 5 5 5 3 5 5 3 5 5 5 5 3 LO9 5 5 5 5 5 5 1 2 3 5 5 2 LO10 5 5 5 3 5 5 3 5 5 5 5 3 LO11 5 5 5 5 4 5 3 5 5 5 5 2 LO12 5 5 5 5 5 5 1 5 5 5 5 2 LO13 5 5 5 5 5 5 1 5 5 5 5 2


COURSE INFORMATION








Course description/aim : To teach the basics of heat transfer mechanisms

Course contents

:Mechanisms of heat transfer, steady one-dimensional heat conduction,

thermal resistance, heat transfer systems, analytical and numerical solution of

two-dimensional, unsteady heat conduction, forced and natural convection

heat transfer, radiation heat transfer.






Methods/Techniques



1 Learn the mechanisms of heat transfer Example problem

solving

Exam, questions and

answers

2 Know steady one-dimensional heat conduction, thermal resistance, heat transfer systems, analytical and numerical solution of two-dimensional

Example problem

solving

Exam, questions and

answers

3 Know unsteady heat conduction, forced and natural convection heat transfer, radiation heat transfer

Example problem

solving

Exam, questions and

answers



Resource(s)

Time

(Hours)

1 The mechanisms of heat transfer Textbook/ Lecture

Notes

3

2 Steady one-dimensional heat conduction, thermal resistance Textbook/ Lecture

Notes

3

3 Steady one-dimensional heat conduction, thermal resistance, Textbook/ Lecture 3

Course

Code MEC305

Course

Name Heat Transfer

Type of

Course

Level of


Application

(Practice)

Laborat

ory

Local

Credits ECTS


COURSE INFORMATION

Notes

4 Steady one-dimensional heat conduction, thermal resistance,

5 Analytical and numerical solution of two-dimensional heat

conduction systems

Textbook/ Lecture

Notes

3


conduction systems

Textbook/ Lecture

Notes

3


conduction systems

Textbook/ Lecture

Notes

3


Notes

2

9 Unsteady heat conduction Textbook/ Lecture

Notes

3

10 Unsteady heat conduction Textbook/ Lecture

Notes

3

11 Forced and natural convection heat transfer Textbook/ Lecture

Notes

3

12 Forced and natural convection heat transfer

Midterm Exam II

Textbook/ Lecture

Notes

3

13 Forced and natural convection heat transfer Textbook/ Lecture

Notes

3

13 Radiation heat transfer Textbook/ Lecture

Notes

3

15 Radiation heat transfer Textbook/ Lecture

Notes

3


Notes

3


Notes

Sources

Course

notes/textbooks

Heat Transfer by J.P. Holman

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects

COURSE INFORMATION


Others

Final exam 1 50

Total 100



Total 100





course 14 2 28


Final exam 1 3 3


homework




exam 4 10 40

Total 157




LO1 5 2 2 2 1 2 3 3 1 3 4 2

LO2 5 3 3 4 1 1 3 4 1 3 3 2

LO3 5 2 2 4 1 2 3 3 1 3 2 2


COURSE INFORMATION








Course description/aim : The subject of the course is to design machine elements

Course contents

: Analysis of Stress, Strain Energy, Columns, Design for Static Loading,

variable loading for the design, Shafts and axles. Rolling bearings, Spur gears,

Helical and Bevel gears, Spiral gears and Worm gear mechanisms.






Methods/Techniques



1 Design machine elements Theoretical Lecture,

Solving Exercises

Exams, Question-

Answer

2 Analyse mechanical respose of the elements

using the relevant mechanical properties


Solving Exercises

Exams, Question-

Answer

3 Analyse the stress-strain distributions in the

elements


Solving Exercises

Exams, Question-

Answer

4 Define static and dynamic behaviour of the

elements and their consequences


Solving Exercises

Exams, Question-

Answer

5 Define different joining techniques of the

elements and to make the relevant

calculations


Solving Exercises

Exams, Question-

Answer

6 Investigate power transmission elements Theoretical Lecture,

Solving Exercises

Exams, Question-

Answer



Resource(s)

Time

(Hours)

1 Preliminary information and general explanations Textbook/ Lecture

Notes

3

2 Notes from Statics and Strength of Materials Textbook/ Lecture

Notes

3

3 Analysis of stress Textbook/ Lecture

Notes

3

4 Strain energy Textbook/ Lecture 3

Course

Code MEC306

Course

Name Machine Elements

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

Notes

5 Columns Textbook/ Lecture

Notes

3

6 Design for static loading Textbook/ Lecture

Notes

3

7 Variable loading for the design-I Textbook/ Lecture

Notes

3


Notes

1

9 Variable loading for the design-II Textbook/ Lecture

Notes

3

10 Variable loading for the design-III Textbook/ Lecture

Notes

3

11 Shafts and axles-I Textbook/ Lecture

Notes

3

12 Shafts and axles-II

Midterm Exam II

Textbook/ Lecture

Notes

3

13 Rolling bearings and spur gears Textbook/ Lecture

Notes

3

14 Helical and bevel gears Textbook/ Lecture

Notes

3

15 Spiral and worm gears Textbook/ Lecture

Notes

3


Notes

2


Notes

Sources

Course

notes/textbooks : Mechanical Engineering by R. Budynas and K. Nisbett

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance

Quizzes 2 10

Homework

Presentation

Laboratory/Practice

Report(s)


Seminar

Projects


Others

Final exam 1 50

COURSE INFORMATION

Total 100



Total 100





course 14 3 42


Final exam 1 2 2


homework




exam 4 15 60

Total 178




LO1 5 4 1 2 4 1 1 1 3 2 1 2

LO2 5 2 1 2 4 1 1 1 3 2 2 3

LO3 5 2 2 2 4 1 3 2 4 3 1 1

LO4 5 4 1 2 4 1 3 1 3 2 1 2

LO5 5 3 2 2 4 1 3 2 4 3 2 4

LO6 5 4 1 2 4 1 1 1 3 2 2 5


COURSE INFORMATION

Department : Mechatronic Engineering


for Admission : MCH302

Mode of delivery : Lectures, Homeworks, Laboratories and Exams





: The aim of this course is to introduce design principles and system integration

concepts in mechatronics engineering. Basics of sampling, aliasing and digital

filtering will be introduced. Real-time control principles will also be discussed. PC-

based real-time control principles will be introduced and rapid prototyping of control

systems using several toolboxes of Matlab will be performed. Another important aim

of the course is the analysis and design of control systems using several state-of-the-

art control setups.

Course contents

: Sensors. Signal types. Signal characteristics. Sampling and quantization.

Aliasing. A/D conversion. Actuators. Drive characteristics. D/A conversion.

PWM. Power amplifiers. Mathematical modeling of various systems.

Controller design. Classical controllers. State-space approach to control

problems. Design of a state-space controller. Parameter and state estimation.

PC based data acquisition boards. Rapid prototyping of control systems.

Software-in-the-loop and hardware-in-the-loop systems. PC based control

systems. Controller hardware. Various embedded controllers. Communication

systems. System Integration.






Methods/Techniques



1 Understand basic principles of digital signal

processing and digital filtering


2 Understand basic principles of control

systems design


3 Design, develop and implement a simple

mechatronic system


4 Understand and implement basic system

integration techniques in the development of

mechatronic products


5 Work individually or in groups Lectures Homeworks and Exams

Course

Code MCH401

Course

Name Mechatronic Instrumentation

Type of

Course

Level of


Application


Local

Credits ECTS


English 4 2 0 5 6

COURSE INFORMATION



Resource(s)

Time

(Hours)

1 Linear systems, signals and signal characteristics 4

2 Sampling, quantization and aliasing 4

3 A/D and D/A conversion 4

4 Digital filtering concepts 4

5 Design of basic digital filters 4

6 Sensor modeling and interfacing 4

7 Actuator and electrical drives 4

8 Midterm exam 3

9 Modeling second order systems 4

10 Design of PID controllers 4

11 Rapid prototyping of control systems using Matlab 4

12 Design of a controller for position and speed control of a

rotary servo system

4

13 State space approach to control problems 4

14 Design of a PID controller for an inverted pendulum setup 4

15 Design of LQR system for an inverted pendulum setup 4

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: PID Controllers: Theory, Design and Tuning. Tore Hagglund. ISA. 1995

: Mechatronics System Design: SI, D. Shetty, R. A. Kolk, 2010., Instrumentation and

Control Systems, 2006., and Lecture Notes

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects 1 20


Others -

Final exam 1 20

Total 100



COURSE INFORMATION

Total 100





course 10 2 20


Final exam 1 4 4


homework 5 2 10




project 5 5 25


exam 6 4 24

Total 154




LO1 2 3 3 3 4 4 4 3 4 3 3 2

LO2 3 3 4 4 4 5 3 2 3 4 3 3

LO3 4 3 2 3 5 2 4 2 4 4 3 2

LO4 4 2 2 4 3 3 3 2 2 4 4 5

LO5 3 3 5 4 4 4 3 4 4 3 3 5


COURSE INFORMATION



for Admission : MCH301, EEE302, COM306






: The main objective of this course is to introduce the basic concepts of mobile robots

including the history, locomotion and sensing mechanism and robot control

paradigms. Special emphasis will be given to swarm robotics.

Course contents

: History of autonomous robotics: Braitenberg´s vehicles, Walter Grey

Walter´s tortoises. Locomotion and sensing of robots. Robot control paradigms

and architectures. Hierarchical paradigm: STRIPS, RCS. Reactive paradigm;

Arbib´s schemas, Brooks´ subsumption architecture, behaviors, potential

fields. Hybrid paradigm: AuRo, SSS, RAP´s. Mobile robot navigation:

Localization,Map-making, SLAM, route planning. Basic principles of swarm

robotics.






Methods/Techniques



1 Design simple behaviors for autonomous

robots


2 Understand basic robot control paradigms Lectures Homeworks and Exams

3 Understand basics of hand-coded and

automatic behavior design methods


4 Conceptualize a simple robotic system Lectures Homeworks and Exams

5 Work individually and in groups of students

in different disciplines




Resource(s)

Time

(Hours)

1 History of Autonomous robotics 3

2 Braitenberg’s vehicles, Walter Grey Walter’s tortoises 3

3 Locomotion and sensing in robots 3

4 Computational elements of robts 3

5 Robot control paradigms and architectures 3

6 Hierarchical paradigm: STRIPS, RCS 3

Course

Code MCH402

Course

Name Swarm Robotics

Type of

Course

Level of


Application


Local

Credits ECTS

Elective Undergraduate 8th

English 3 0 0 3 6

COURSE INFORMATION

7 Reactive paradigm: Arbib’s schemas 3

8 Midterm 3

9 Subsumption architecture 3

10 Behavior based robotics, Potential fields 3

11 Hybrid paradigm: AuRo, SSS, RAP 3

12 Mobile robot navigation: Localization, Map making 3

13 SLAM, route planning 3

14 Basic principles of swarm robotics 3

15 Various types of behaviors in swarm robotics 3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: Introduction to Autonomous Mobile Robots, Siegwart, Nourbakhsh, Scramuzza. 2011.

Lecture Notes.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 4 16


Final exam 1 4 4


COURSE INFORMATION

homework




exam 6 4 24

Total 151




LO1 4 2 3 3 4 4 4 3 4 3 3 3

LO2 3 3 4 4 4 4 3 4 4 3 3 3

LO3 5 4 3 5 5 2 4 4 4 3 3 4

LO4 3 2 3 4 5 3 3 4 4 3 3 2

LO5 3 2 5 4 4 4 3 4 4 3 3 3


COURSE INFORMATION



for Admission : MCH301, EEE302






: Students are expected to understand and be skilled at applying advanced state-space

control systems and design methods theoretically and practically to several of control


Course contents

: Introduction to state-space; Modeling of simple systems; State transition

matrix, impulse response matrix; modal decomposition and structural

properties of systems; stability of systems; controllability and observability;

minimal realization; state-feedback control design; pole placement method;

observer design; reduced order observer.



Compulsory Attendance :70%



Methods/Techniques



1 Model multi-input and multi-output systems; Lectures and Labs Homeworks and Exams

2 Determine whether or not a given system can

be controlled and observed and if it is stable;

Lectures and Labs Homeworks and Exams

3 Design a constant gain feedback controller Lectures and Labs Homeworks and Exams

4 Design observers to estimate the states of the

dynamic systems;


5 Use MATLAB toolboxes for the state-space-

based design of control systems.




Resource(s)

Time

(Hours)

1 Introduction to State-Space Method Lecture Notes and books 3

2 Modeling Dynamical Systems in State-Space Lecture Notes and books 3

3 Modeling Dynamical Systems in State-Space Lecture Notes and books 3

4 Analysis of the State Equations Lecture Notes and books 3

5 Control-Law Design for Full-State Feedback Lecture Notes and books 3

6 Pole Placement Lecture Notes and books 3

7 Estimator Design Lecture Notes and books 3

8 Mid-term Exam Lecture Notes and books 3

Course

Code MCH403

Course

Name MODERN CONTROL

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 0 3 6

COURSE INFORMATION

9 Compensator Design Lecture Notes and books 3

10 Introduction of the Reference Input with the Estimator Lecture Notes and books 3

11 Integral Control and Robust Tracking Lecture Notes and books 3

12 Loop Transfer Recovery (LTR) Lecture Notes and books 3

13 Direct Design with Rational Transfer Functions Lecture Notes and books 3

14 Design for Systems with Pure Time Delay Lecture Notes and books 3

15 Design for Systems with Pure Time Delay Lecture Notes and books 3

16 Final Exam Lecture Notes and books 3

17 Final Exam Lecture Notes and books

Sources

Course

notes/textbooks

:Franklin, G F, Powell, J D and Emami-Naeini, A, Feedback Control of Dynamic

Systems, Prentice Hall; 6 edition (October 3, 2009); Franklin, G F, Powell, J D and

Workman, M L, Digital Control of Dynamic Systems, Published exclusively by Ellis-Kagle

Press since 2006; Ogata, K, Designing Linear Control Systems with Matlab,

Readings : Lecture Notes

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 4 16


Final exam 1 4 4


COURSE INFORMATION

homework




exam 6 4 24

Total 151



PO1 PO2 PO3 PO4 PO5 PO6 PO7 PO8 PO9 PO10 PO11

LO1 4 3 3 4 4 3 3 3 4 3 3

LO2 4 4 4 3 3 3 3 4 5 4 3

LO3 5 4 5 4 4 3 3 5 4 4 3

LO4 3 3 3 3 4 3 2 4 3 4 3

LO5 3 5 5 3 4 3 3 4 4 4 3


COURSE INFORMATION

Course

Code

MCH404 Course

Name

SPACE MECHATRONICS

Type of

Course

Level of

Course


(Practice)

Laboratory Local

Credits

ECTS

Elective Bachelor 8th English 3 0 0 3 6



for Admission

: MCH201, MEC202, EEE302





Course description/aim : Main objective of this course is to introduce the students the concepts regarding the

design and analysis of large space mechatronic systems. Ability of modeling, design

and analysis of satellites in space environment. Ability of Assembly, Integration and

Testing Procedures of Satellites. Use engineering judgment to validate the results of

numerical simulations. Employ appropriate numerical methods to advance the

equations of attitude motion for spacecraft systems . Use engineering judgment to

validate the results of numerical simulations. Be able to give students practice in the

use of finite elements in design and analysis of space mechatronic systems.

Course contents : Space systems, Payload, Mission analysis, Space environment, Satellite operation,

Launch services, Reliability, Mechanical architecture, Thermal architecture,

Dynamics and flight control, Propulsion, Avionics, High reliability components,

Satellite integration and test Quality assurance, Satellite engineering process, tools

and techniques.


program components

: --




Methods/Techniques



1 Apply mechatronic engineering principles for

design of satellites.


2 Design a large mechatronic system, component,

or process to meet desired needs.


3 Identify, formulate and solve space engineering

problems.


4 Communicate effectively. Lectures Homeworks and Exams

5 Use the techniques, skills and modern engineering

tools necessary for engineering practice.


6 Perform project management activities in large

scale mechatronic systems.



COURSE INFORMATION


Resource(s)

Time

(Hours)

1 Introduction 3

2 Payload 3

3 Mission analysis 3

4 Space environment 3

5 Satellite operation 3

6 Launch services 3

7 Reliability 3

8 Midterm Exam 3

9 Mechanical architecture 3

10 Thermal architecture 3

11 Dynamics and flight control 3

12 Propulsion 3

13 Avionics 3

14 High reliability components 3

15 Satellite integration and test, Quality assurance, Satellite

engineering process, tools and techniques

3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Lecture Notes.

Readings :

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 40

Total 100



Total 100

COURSE INFORMATION




Individual study for course 4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150




LO1 4 3 3 3 4 4 4 3 4 3 3 2

LO2 4 3 4 4 4 5 3 4 3 3 3 3

LO3 5 4 5 5 5 5 4 4 4 3 3 4

LO4 3 2 3 4 5 3 3 4 4 3 3 2

LO5 3 3 5 4 4 4 3 4 4 3 3 2

LO6 3 3 4 5 5 3 3 3 3 3 3 3


COURSE INFORMATION

Course

Code

MCH405 Course

Name

MECHANICALVIBRATIONS

Type of

Course

Level of

Course


(Practice)

Laboratory Local

Credits

ECTS


English 3 0 0 3 6



for Admission

: Engineering Mechanics, Dynamics





Course description/aim : Main objective of this course is to give the students

Derive the equations of motion of single and multi-degree of freedom systems, using

Newton's Laws and energy methods.

Determine the natural frequencies and mode shapes of single and multi-degree of

freedom systems.

Evaluate the dynamic response of single and multi-degree of freedom systems under

impulse loadings, harmonic loadings, and general periodic excitation.

Apply modal analysis and orthogonality conditions to establish the dynamic

characteristics of multi-degree of freedom systems.

Generate finite element models of discrete systems to simulate the dynamic response

to initial conditions and external excitations.

Course contents : Harmonic motion; natural frequencies and vibration of damped and undamped single

and multi-degree of freedom systems; modal analysis; influence coefficients; lumped-

mass modeling; dynamic load factors; Rayleigh's method; flow-induced vibrations;

shaft whirl; balancing; vibration absorbers and tuned mass dampers; finite element

modeling.


program components

: --




Methods/Techniques




problems.


2 Understand of professional and ethical

responsibility.


3 Understand the impact of engineering

solutions in a global and societal context.


4 Recognize of the need for and an ability to

engage in life-long learning.


5 Have knowledge of contemporary issues. Lectures Homeworks and Exams

6 Use the techniques, skills and modern

engineering tools necessary for appl'ed

mechatronic engineering.


7 Design basic mechatronic systems and

structures under vibratory loads.



COURSE INFORMATION


Resource(s)

Time

(Hours)

1 Harmonic motion, Fourier series and complex notation. 3

2 Equivalent springs, damping elements and inertia elements. 3

3 Free and forced response of single degree of freedom systems. 3

4 Steady state response to support excitation and general

periodic excitation.

3

5 Transient vibration due to nonharmonic excitation. 3

6 Impulse loadings and dynamic load factors. 3

7 Lumped mass modeling of discrete and continuous systems. 3

8 Midterm Exam 3

9 Influence coefficients for stiffness, flexibility and damping. 3

10 Determination of natural frequencies and modeshapes of

multi-degree of freedom systems.

3

11 Modal analysis and orthogonality. 3

12 Free response of multi-degree of freedom systems with initial

conditions.

3

13 Vibration absorbers, dampers and tuned mass dampers. 3

14 Finite element modeling. 3

15 Finite element modal and transient analysis. 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Vibration of Mechanical and Structural Systems, M. L. James, G. M. Smith, J. C.

Wolford and P. W. Whaley, 2nd Edition., and Lecture Notes.

Readings :

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 40

Total 100



Total 100

COURSE INFORMATION





course

4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150

ECTS Credit(Total/25.5) 5.8



LO1 4 3 3 3 4 4 4 3 4 3 3 2

LO2 4 3 4 4 4 5 3 4 3 3 3 3

LO3 4 4 5 5 5 5 4 4 4 3 3 4

LO4 3 3 3 3 5 4 3 4 4 3 3 2

LO5 4 3 5 4 4 4 2 4 3 3 3 2

LO6 3 3 4 5 5 3 3 3 3 3 3 3

LO7 3 3 4 3 4 5 4 5 3 3 3 3


COURSE INFORMATION



for Admission : EEE302

Mode of delivery : Lectures, Homeworks, Laboratories and Exams





: The aim of this course is to introduce basic concepts of manufacturing and

automation systems. Students will get acquainted with the basics of CNC machine

tools, programming and control. Basic concepts of PLC and SCADA systems will

also be taught.

Course contents

: Introduction to manufacturing engineering. Integrated manufacturing and

control. Basics of CNC machine tools. Parts programming. PLC. Ladder

diagrams. SCADA systems. Large scale automation systems.






Methods/Techniques



1 Construct ladder diagrams and program PLC Lectures Homeworks and Exams

2 Understand basic principles of CNC machine

tools.


3 Program CNC lathes and milling machines Lectures Homeworks and Exams

4 Understand basic principles of automation in

small and large scale





Resource(s)

Time

(Hours)

1 Introduction to process control 3

2 Integrated manufacturing and control 3

3 Introduction to digital systems 3

4 Axis and motion nomenclature 3

5 Tooling and general considerations for programming 3

6 Part programming 3

7 Numerical control structure: control unit, machine interface,

position and motion control

3

8 Midterm exam 3

9 Computer assisted programming of CNC machine tools 3

Course

Code MCH406

Course

Name Industrial Automation

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 2 0 4 6

COURSE INFORMATION

10 Introduction to PLC systems 3

11 Ladder diagrams 3

12 PLC programming and control 3

13 PLC programming and control 3

14 Advanced PLC programming and process control 3

15 SCADA systems 3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks : Industrial Automation and Process Control. Jon Stenerson. Prentice Hall. 2002

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework -- 0

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects 2 40


Others -

Final exam 1 30

Total 100



Total 100





course 12 2 24


Final exam 1 4 4




project 8 5 40

COURSE INFORMATION


exam 7 4 28

Total 153




LO1 2 5 3 3 4 4 4 3 4 3 3 2

LO2 3 5 4 2 4 2 3 2 3 2 3 3

LO3 4 3 2 3 5 2 4 2 2 2 3 2

LO4 3 2 2 4 3 3 3 2 2 2 3 5

LO5 3 3 4 4 4 4 3 4 4 3 3 5


COURSE INFORMATION

Course

Code

MCH407 Course

Name

DESIGN PROBLEMS IN ENGINEERING

Type of

Course

Level of

Course


(Practice)

Laboratory Local

Credits

ECTS


English 3 0 2 4 6



for Admission

: MCH201, MAT221, Consent of Instructor





Course description/aim : Main objective of this course is to introduce students the concepts of design

and analysis of elastic systems used in mechatronics systems and devices

including sensors, actuators, micro devices and micro machines.

Determination of stresses and deflections in statically indeterminate structures

encountered in mechatronic components design.

Course contents : General theory of elasticity; equilibrium, stress-strain and strain-displacement

equations. Plane stress and plane strain design examples. Elasticity

relationships in cylindrical and polar coordinates. Circular disks and thick-

walled pressure vessels. General theory of slender bars; axial loading, bending

and shear loading. General theory of plates; series solutions for bending.

Torsion of bars and beams; Saint-Venant's theory, Prandtl stress function.

Energy methods; virtual work, strain energy and Principle of Minimum

Potential Energy. General theory of finite element methods. Castigliano's

theorems. Finite element modeling and static solutions for stresses and

deflections.


program components

: --




Methods/Techniques



COURSE INFORMATION


problems and simulate mechatronic

components


2 Understand of professional and ethical

responsibility.





4 Recognition of the need for and an ability to

engage in life-long learning.


5 Get used to contemporary issues and

techniques.



engineering tools necessary for engineering

practice




Resource(s)

Time

(Hours)

1 General theory of elasticity; equilibrium, stress-strain and

strain-displacement equations.

3

2 Plane stress and plane strain design examples. 3

3 Elasticity relationships in cylindrical and polar coordinates. 3

4 Circular disks and thick-walled pressure vessels. 3

5 General theory of slender bars; axial loading, bending and

shear loading.

3

6 General theory of plates; series solutions for bending. 3

7 Torsion of bars and beams; Saint-Venant's theory, Prandtl

stress function.

3

8 Midterm Exam 3

9 Energy methods; virtual work, strain energy and Principle of

Minimum Potential Energy.

3

10 General theory of finite element methods. Castigliano's

theorems.

3

11 Finite element modeling and static solutions for stresses and

deflections.

3

12 General theory of elasticity; equilibrium, stress-strain and

strain-displacement equations.

3

13 Plane stress and plane strain design examples. 3

COURSE INFORMATION

14 Micro Devices Components Design 3

15 MEMS Elements Design 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Lecture Notes. “Finite Element Modeling for Stress Analysis” R. Cook, and “Roark’s

Formulas for Stress and Strain,” by Warren C. Young

Readings :

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 40

Total 100

COURSE INFORMATION



Total 100





course

4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150




LO1 3 3 4 3 4 4 4 3 4 3 3 4

LO2 4 3 4 3 4 5 3 4 3 3 3 4

LO3 3 4 3 5 5 5 4 3 4 4 3 4

LO4 3 3 3 4 5 3 3 4 4 4 3 3

LO5 3 3 5 4 3 4 3 4 4 3 4 3

LO6 3 3 3 4 4 3 3 4 4 3 3 2


COURSE INFORMATION

Course

Code

MCH408 Course

Name

ADVANCED STRUCTURAL DYNAMICS AND DESIGN OF

MECHATRONICS COMPONENTS

Type of

Course

Level of

Course


(Practice)

Laboratory Local

Credits

ECTS


English 3 0 2 4 6



for Admission

: MCH201, MCH407, MCH405 or Consent of Instructor





Course description/aim : Main objective of this course is to introduce the students concepts of design

of micro and macro mechatronics systems and devices including sensors,

actuators, micro mechatronic components, micro machines and micro

mechanisms. Convert practical problems/systems into suitable mathematical

models. Use analytical and computational methods to analyze the dynamic

response of a mechatronic structure subjected to a variety of different types of

excitation.

Course contents : Dynamics and Vibration of Mechanical and Mechatronic components subject

to dynamic loads; Analytical, numerical and finite element methods applied to

the analysis and design of mechanical systems consisting of cables, bars,

shafts, beams, frames, rings, membranes, plates and shells and Mechatronics

Systems and Devices.


program components

: --




Methods/Techniques


COURSE INFORMATION


1 Apply mathematics, science and engineering

principles.


2 Design a system, component, or process to

meet desired needs.



problems.


4 Communicate effectively. Lectures Homeworks and Exams






practice




Resource(s)

Time

(Hours)

1 Modeling of Mechanical and Mechatronic components

subject to dynamic loads;

3

2 Analytical, numerical and finite element methods applied to

cables,

3

3 The analysis and design of mechanical parts of mechatronics

systems: bars,

3


systems: shafts,

3


systems: beams,

3


systems: frames,

3


the analysis and design of mechanical parts of mechatronics

systems: rings,

3

8 Midterm Exam 3


the analysis and design of mechanical parts of mechatronics

systems: membranes,

3


the analysis and design of mechanical systems: plates

3

COURSE INFORMATION


the analysis and design of mechanical systems: shells

3

12 Micro Devices Components Design 3

13 MEMS Elements Design 3

14 Design of Components of Sensor and Actuators 3

15 MEMS Components Design 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Lecture Notes.

Readings :

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


COURSE INFORMATION

Others -

Final exam 1 40

Total 100



Total 100





course

4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150




LO1 3 3 4 3 4 4 4 3 4 3 3 4

LO2 4 3 4 3 4 5 3 4 3 3 3 4

LO3 3 4 3 5 5 5 4 3 4 4 3 4

LO4 3 3 3 4 5 3 3 4 4 4 3 3

LO5 3 3 5 4 3 4 3 4 4 3 4 3

LO6 3 3 3 4 4 3 3 4 4 3 3 2


COURSE INFORMATION

Course

Code

MCH409 Course

Name

PRACTICAL FINITE ELEMENTS

Type of

Course

Level of

Course


(Practice)

Laboratory Local

Credits

ECTS


English 3 0 2 4 6



for Admission

: MCH201, MEC202, MAT221 or Consent of Instructor





Course description/aim : Main objective of this course is to give the students how to use (university-

release of) a commercial finite element code, in this case ANSYS, including

use of the preprocessor, solution and postprocessor modules to generate FE

models. Become proficient in constructing simple, “back-of-the-envelope”

solutions by hand for the purpose of checking and correcting FE models.

Know how to select an appropriate FE element type for the physical model

desired. Know how to apply loads and boundary conditions. Be able to

determine by inspection of post-processed results which features are physical

and which may be artifacts of the choices made in generating the FE model. Be

able to give students practice in the use of finite elements in design and

analysis of micromechatronic systems.

Course contents : Modeling choices. Bar and Beam Elements and Illustrations (Structural

Applications). Planar Elements and Illustrations (Structural Applications).

3D/Axisymmetric Elements and Illustrations (Structural Applications).

Plate/Shell Elements and Illustrations (Structural Applications). Compatibility

of various structural elements, both within a class (e.g., planar elements) and

between classes (e.g., bars and 3D elements). Steady-state and transient

thermal analysis (Thermal Applications). Structural response to thermal loads.

Modal, harmonic and transient simulations (Structural Applications). Linear

and non-linear buckling. Gaps/Contact Nonlinear Stress Analysis. Inelastic

Behavior


program components

: --


COURSE INFORMATION



Methods/Techniques



1 Apply mathematics, science and engineering

principles to design of mechatronic systems


2 Design a system, component, or process in

mechatronic engineering to meet desired

needs.


3 Identify, formulate and solve mechatronic



4 Communicate and analyze engineering

systems effectively.




practice.


6 Design basic mechatronic systems and

structures under mechanic, fludic, thermal,

electrical …etc loads.




Resource(s)

Time

(Hours)

1 Modeling choices. 3

2 Bar and Beam Elements and Illustrations (Structural

Applications).

3

3 Planar Elements and Illustrations (Structural Applications). 3

4 3D/Axisymmetric Elements and Illustrations (Structural

Applications).

3

5 Plate/Shell Elements and Illustrations (Structural

Applications).

3

6 Compatibility of various structural elements, both within a

class (e.g., planar elements) and between classes (e.g., bars

and 3D elements).

3

7 Steady-state and transient thermal analysis (Thermal

Applications).

3

COURSE INFORMATION

8 Midterm Exam 3

9 Structural response to thermal loads. Modal, harmonic and

transient simulations (Structural Applications).

3

10 Linear and non-linear buckling. 3

11 Gaps/Contact 3

12 Nonlinear Stress Analysis 3

13 Inelastic Behavior 3

14 MEMS Applications-Thermal 3

15 MEMS Applications-Structural 3

16 Final 3

17 Final

Sources

Course

notes/textbooks

: Lecture Notes,

“Finite Element Modeling for Stress Analysis” R. Cook, and Lecture Notes.

And “Roark’s Formulas for Stress and Strain,” by Warren C. Young.

Readings :

Supplemental

readings

:

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 20

Presentation -- 0


Report(s) -- 0

COURSE INFORMATION


Seminar -- 0

Projects -- 0


Others -

Final exam 1 40

Total 100



Total 100





course

4 3 12


Final exam 1 4 4


homework

5 10 50


midterm exams

1 12 12


exam

1 24 24

Total 150


COURSE INFORMATION



LO1 4 3 3 3 4 4 4 3 4 3 3 4

LO2 4 3 5 3 4 5 3 4 3 3 3 4

LO3 4 4 3 5 5 5 4 3 4 3 3 4

LO4 3 3 3 4 5 3 3 4 4 2 3 3

LO5 3 3 5 4 4 4 3 4 4 3 3 3

LO6 3 2 3 4 5 3 3 4 4 3 3 2


COURSE INFORMATION

1









At the end of this course the students will acquire a working knowledge on advanced

applications of CAD through SolidWorks software including surface modeling, top-

down assembly design, sheet metal, mold design, etc.

Students will also acquire working knowledge on traditional manufacturing methods

such as casting, forming, shaping, joining, machine tools, machining of metals and

their alloys, and use of CAM software SolidCAM.

Course contents

Advanced modeling techniques in SolidWorks, surfacing tools, molding tools, 3D

sketching and weldments, sheet metal, top-down assembly design, parametric

modeling fundamentals, geometric relations fundamentals, motion study (kinematic

analysis) of mechanisms, FEA by SimulationXpress, PhotoView 360.

Types of engineering materials, Mechanical Properties of Metals, Engineering alloys,

Polymers, Ceramics, Composites, Metal casting, forming and shaping (rolling,

forging, extrusion, sheet metal, powder metallurgy, ceramics, plastics, composites),

rapid prototyping, fundamentals of machining processes and machine tools, micro-

manufacturing and fabrication of microelectronic devices (MEMS), joining

processes, surface technology, automation of manufacturing processes and

operations.

Intro to SolidCAM and computer integrated manufacturing systems.







atomic structure and how it

constitutes various engineering

materials and the physical

microstructure/property

relationship




discussions



presentation


meaning and importance of

mechanical properties of metals

in different working

environments and how to




discussions



presentation

Course

Code MCH 410

Course

Name Advanced CAD/CAM

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2

assess them by standard test

methods

3. Working knowledge in design

of metallic alloys through use

of phase diagrams




discussions



presentation


properties and use of polymers,

ceramics, composites,

electronic materials, magnetic

materials and photonic

materials in engineering

applications




discussions



presentation

5. Working knowledge on metal

casting, forming and shaping

processes




discussions



presentation


machining processes and machine

tools




discussions



presentation

7. Working knowledge on MEMS

and their fabrication methods




discussions



presentation

8. Working knowledge on joining

processes and related equipment




discussions



presentation

9. A good understanding of surface

technology, its importance in

product design and its relationship

with various manufacturing

techniques




discussions



presentation

10. An introduction to computer

integrated manufacturing and

related CAM software




discussions



presentation



Resource(s)

Time

(Hours)

1 Intro and type of engineering materials, Atomic structure and

bonding, Crystal and amorphous materials

Textbook/Lecture

Notes/Supplemental

website of textbook

4

2 Solidification and crystalline imperfections

Textbook/Lecture

Notes/Supplemental

website of textbook

4

3





Textbook/Lecture

Notes/Supplemental

website of textbook

4

COURSE INFORMATION

3

3’ Lab test: Tension-Compression 2

4





Textbook/Lecture

Textbook/Lecture

Notes/Supplemental

website of textbook

4

4’ Lab test: Torsion 2

5




Textbook/Lecture

Notes/Supplemental

website of textbook

4

5’ Lab test: Hardness 2

6




Textbook/Lecture

Notes/Supplemental

website of textbook

4

7 Midterm exam 3

8 Polymers, Ceramics, Composites, Electronic materials,


Textbook/Lecture

Notes/Supplemental

website of textbook

4

9




Textbook/Lecture

Notes/Supplemental

website of textbook

4

10




Textbook/Lecture

Notes/Supplemental

website of textbook

4

11 Rapid prototyping, fundamentals of machining processes and

machine tools

Textbook/Lecture

Notes/Supplemental

website of textbook

4

12 Fundamentals of machining processes and machine tools

Textbook/Lecture

Notes/Supplemental

website of textbook

4

12’ Lab application: Turning, milling 2

13 Micro-manufacturing and fabrication of microelectronic

devices (MEMS)

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14 Joining processes, Surface technology

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14’ Lab application: Arc welding, TIG/MIG welding, brazing 2

15 Automation of manufacturing processes and operations,

CAM and computer integrated manufacturing systems.

Textbook/Lecture

Notes/Supplemental

website of textbook

4

15’ Lab application: CNC programing and rapid prototyping 2

16 Final exam 3

17 Final exam

COURSE INFORMATION

4

Sources

Course

notes/textbooks

: “Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,



Supplemental



References


4th ed, 2012, ISBN 978-0-08-096665-6


4th ed, 2012, ISBN 978-0-08-096668-7


4th ed, 2011, ISBN 978-1-85617-663-7

Evaluation System


Attendance 42

Quizzes

Homework


Report(s)


Seminar

Presentation

Projects 4 25%


Others

Final exam 1 40%

Total 100



Total 100

COURSE INFORMATION

5






Final exam 1 3 3


homework 10 3 30


presentation 0 0 0


project 0 0 0




exam 1 29 29

Total 153




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION








Course description/aim : The aim of this course is to introduce the basic concepts of flying robots including

both the hardware concepts; sensors, actuators and software concepts; controllers.

Course contents

: Introduction to flying robots. Mechatronic components of flying robots.

Mathematical modeling of flying robots. Design of control systems for flying

robots.






Methods/Techniques



1 Understand basic principles of autonomous

flying robots


2 Understand building blocks of flying robots Lectures Homeworks and Exams

3 Build mathematical models of flying robots Lectures Homeworks and Exams

4 Design controllers for flying robots Lectures Homeworks and Exams




Resource(s)

Time

(Hours)

1 Introduction to flying robots 3

2 Mechatronic components in flying robots: Sensor systems 3

3 INS, estimation 3

4 Actuators 3

5 Control hardware and software 3

6 Mathematical modeling of flying robots 3

7 6-DOF rigid body dynamics 3

8 Midterm exam 3

9 Dynamics of actuators 3

10 Robot structures 3

11 Identification of dynamics, estimation of intertial parameters 3

12 Altitude control 3

13 Attitude control 3

Course

Code MCH411

Course

Name Flying Robotics

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 0 3 6

COURSE INFORMATION

14 Trajectory control 3

15 Disturbance rejection 3

16 Final exam 3

17 Final exam

Sources

Course

notes/textbooks

: Modelling and Control of Mini Flying Machines, P. Castillo, R. Lozano and A.E. Dzul,

Springer-Verlag London Limited, 2005.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 4 16


Final exam 1 4 4


homework 10 5 50




exam 6 4 24

Total 151


COURSE INFORMATION



LO1 4 3 3 3 4 4 4 3 4 3 3 2

LO2 4 3 4 4 4 5 3 2 3 3 3 3

LO3 3 3 2 3 5 2 4 2 4 3 3 4

LO4 3 2 3 4 5 3 3 2 2 3 3 2

LO5 3 3 5 4 4 4 3 4 4 3 3 2


COURSE INFORMATION

1









At the end of this course the students will acquire a working knowledge on smart

materials for mechatronics applications and their applied driving forces such as

electrical, thermal, and magnetic fields. Mathematical modeling and hands-on case

studies will help them deeply understand the applications of smart materials in

industry and green energy field.

Course contents

Classification of smart materials for mechatronics applications and the applied driving

forces such as electrical, thermal, and magnetic fields.

Types and working principles of smart materials: Piezoelectric, Piezoresistive,

Piezorestrictive, Magnetostrictive, Magnetoresistive, Shape Memory Alloys,

Magnetically Activated Shape Memory Alloys, Active Fiber Composites, Electro and

Magneto-Rheological Fluids, Smart Gels and Shape Memory Polymers, self-healing

materials. Manufacturing processes specially adapted to each material, advantages

and drawbacks of each technology, applications to robotics and micro-

technology (MEMS), energy harvesting strategies for green energy

applications using smart materials, case studies.







classification of smart materials

for mechatronics applications and

the applied driving forces




discussions



presentation


Piezoelectric, Piezoresistive,

Piezorestrictive materials




discussions



presentation

3. Working knowledge on Shape

Memory Alloys, Magnetically

Activated Shape Memory Alloys




discussions



presentation

4. Working knowledge on Electro

and Magneto-Rheological Fluids




discussions



presentation

Course

Code MCH 412

Course

Name Smart Materials in Mechatronics Engineering

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

2

5. Working knowledge on Smart

Gels and Shape Memory

Polymers




discussions



presentation

6. Working knowledge on m

anufacturing processes specially

adapted to each material




discussions



presentation


applications to robotics, micro-

technology (MEMS) and green

energy (energy harvesting)




discussions



presentation



Resource(s)

Time

(Hours)

1 Intro, classification of smart materials, materials science

behind

Textbook/Lecture

Notes/Supplemental

website of textbook

4

2 Nature of driving forces for each class of smart materials

Textbook/Lecture

Notes/Supplemental

website of textbook

4

3 Piezoelectric, piezoresistive, piezorestrictive materials and

their synthesis and behavior modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

3’ Lab application: Piezoelectric, Piezoresistive, Piezorestrictive

materials

2

4 Shape memory alloys, their metallurgy and behavior

modeling

Textbook/Lecture

Textbook/Lecture

Notes/Supplemental

website of textbook

4

4’ Lab application: Magnetostrictive, Magnetoresistive, Shape

Memory Alloys, Magnetically Activated Shape Memory Alloys

2

5 Magnetic shape memory alloys, their metallurgy and

behavior modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

5’ Lab application: Smart Gels and Shape Memory Polymers 2

6 Other magnetostrictive materials, their synthesis and

behavior modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

7 Midterm exam 3

8 Electro and Magneto-Rheological Fluids, their synthesis and

behavior modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

9 Smart Gels and Shape Memory Polymers, their synthesis and

behavior modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

10 Active Fiber Composites, their synthesis and behavior

modeling

Textbook/Lecture

Notes/Supplemental

website of textbook

4

11 Self-healing materials, their synthesis and behavior modeling Textbook/Lecture 4

COURSE INFORMATION

3

Notes/Supplemental

website of textbook

12 Industrial applications

Textbook/Lecture

Notes/Supplemental

website of textbook

4

12’ Lab application: Electro and Magneto-Rheological Fluids 2

13 Industrial applications

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14 Applications to robotics and micro-technology (MEMS)

Textbook/Lecture

Notes/Supplemental

website of textbook

4

14’ Lab application: Active Fiber Composites 2

15 Energy harvesting via smart materials, applications of green

energy

Textbook/Lecture

Notes/Supplemental

website of textbook

4

15’ Lab application: MEMS 2

16 Final exam 3

17 Final exam

Sources

Course

notes/textbooks

: Instructor’s notes

“Manufacturing Engineering & Technology”, by S. Kalpakjian & S.R. Schmid,



Supplemental



References


4th ed, 2012, ISBN 978-0-08-096665-6


4th ed, 2012, ISBN 978-0-08-096668-7


4th ed, 2011, ISBN 978-1-85617-663-7

Evaluation System


Attendance 42

Quizzes

Homework


Report(s)


Seminar

Presentation

Projects 4 25%


COURSE INFORMATION

4

Others

Final exam 1 40%

Total 100



Total 100






Final exam 1 3 3


homework 5 2 10


presentation 0 0 0


project 4 10 40




exam 1 16 16

Total 153




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION



for Admission : MEC202, EEE302, MEC304






: This course aims to introduce basic concepts of robotic manipulators. Kinematic,

dynamics, motion planning and control methods of robotic manipulators are the

subjects of this course.

Course contents

: Introduction to Robotics. Review of spatial kinematics. Kinematics and

modeling using Denavit-Hartberg approach. Position, velocity and acceleration

analysis in the forward and inverse senses. Virtual work method. Newton-

Euler and Lagrange methods. Independent joint controllers. Coordinated joint

controllers. Free and complaint motion control. Combined motion and force

control.






Methods/Techniques



1 Understand fundamentals of robotics Lectures and Lab work Exam and Lab Work

2 Calculate kinematics of robotic manipulators Lectures and Lab work Exam and Lab Work

3 Perform combined force and motion control Lectures and Lab work Exam and Lab Work

4 Use Newton-Euler and Lagrange’s equations

for direct and inverse dynamics of robotic

manipulators.

Lectures and Lab work Exam and Lab Work

5 Perform task space planning of robotic

manipulators.

Lectures and Lab work Exam and Lab Work



Resource(s)

Time

(Hours)

1 Introduction to robotics 3

2 Review of spatial kinematics 3

3 Kinematics modeling using Denavit-Hartberg approach 3

4 Position and velocity analysis in the forward and inverse

senses

3

5 Acceleration analysis in the forward and inverse sense 3

6 Quasi-static analysis using the virtual work method 3

Course

Code MCH414

Course

Name Robotics

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 0 3 6

COURSE INFORMATION

7 Direct and inverse dynamics using the Newton-Euler and

Largrange’s Equations

3


9 Task space planning. 3

10 Joint space planning via positons, splines and time steps. 3

11 Independent joint controllers 3

12 Coordinated joint controllers using the computed torque

method

3

13 Free and compliant motion control 3

14 Combined motion and force control 3

15 Combined motion and force control 3



Sources

Course

notes/textbooks

: Introduction to Robotics. A. J. Critchlow. Mac Milan.

Introduction to Robotics: Mechanisms and Control. J. J. Craig. Addison-Wesley.

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0

Laboratory/Practice -- --

Report(s) -- --


Seminar -- --

Projects -- --


Others -- --

Final exam 1 60

Total 100



Total 100





course 10 3 30


COURSE INFORMATION

Final exam 1 4 4


homework 12 4 48


midterm exams 4 2 8


exam 5 4 20

Total 155




LO1 2 3 4 4 5 3 3 4 3 2 3 2

LO2 2 2 3 4 3 4 3 2 2 4 3 3

LO3 4 3 4 1 3 5 3 4 3 4 3 3

LO4 4 4 4 3 4 3 4 5 4 3 3 3

LO5 5 4 2 3 4 4 3 4 4 3 4 3


COURSE INFORMATION








Course description/aim : Students are expected to develop the theory of optimal control using the calculus of

variations.

Course contents

: Unconstrained optimization: single variable; multivariable. Multivariable

optimization: search methods; gradient methods. Constrained optimization:

sequential unconstrained method; sequential quadratic programming. Dynamic

Programming: calculus of variations; Pontryagin’s Maximum Principle.

Optimal control: linear quadratic problems.






Methods/Techniques



1 Get familiar with unconstrained and

constrained finite dimensional optimization;


2 Understand the calculus of variations with

particular emphasis on the Bolza problem,

and to write down Euler’s equations;


3 Understand the maximum principle and to

apply it to general optimization problems


4 Solve the LQR problems; Lectures and Labs Homeworks and Exams



Resource(s)

Time

(Hours)

1 Introduction to classical and modern control Lectures and Labs 3

2 Calculus of Variations and optimal control Lectures and Labs 3

3 Linear Quadratic Optimal Control Systems I Lectures and Labs 3

4 Linear Quadratic Optimal Control Systems II Lectures and Labs 3

5 Variational Calculus for Discrete-Time Systems Lectures and Labs 3

6 Discrete-Time Optimal Control Systems Lectures and Labs 3

7 Discrete-Time Linear State Regulator System Lectures and Labs 3

8 Midterm Exam 3

9 Steady-State Regulator System Lectures and Labs 3

Course

Code MCH416

Course

Name OPTIMAL CONTROL

Type of

Course

Level of


Application


Local

Credits ECTS


English 3 0 0 3 6

COURSE INFORMATION

10 Discrete-Time Linear Quadratic Tracking System Lectures and Labs 3

11 Frequency-Domain Interpretation Lectures and Labs 3

12 Pontryagin Minimum Principle Lectures and Labs 3

13 Dynamic Programming Lectures and Labs 3

14 Constrained Optimal Control Systems Lectures and Labs 3

15 Constrained Optimal Control Systems Lectures and Labs 3

16 Final Exam 3

17 Final Exam

Sources

Course

notes/textbooks

: Optimal Control Systems, Desineni Subbaram Naidu, CRC Press 2002; Robust

Optimal Control, Kemin Zhou, John C. Doyle, Keith Glover, Prentice Hall, 1995;

Lecture Notes

Readings :

Supplemental

readings :

References :

Evaluation System


Attendance -- 0

Quizzes -- 0

Homework 5 10

Presentation -- 0


Report(s) -- 0


Seminar -- 0

Projects -- 0


Others -

Final exam 1 60

Total 100



Total 100





course 4 4 16


Final exam 1 4 4


homework 10 5 50


COURSE INFORMATION

midterm exams


exam 6 4 24

Total 151




LO1 4 3 3 4 4 3 3 3 4 3 3 2

LO2 4 4 4 3 3 3 3 4 5 4 3 3

LO3 5 4 4 4 4 3 4 5 4 4 3 4

LO4 3 3 3 3 4 3 2 4 3 3 5 5


COURSE INFORMATION

1



for Admission

: Engineering Mechanics, Elements of Design for Mechatronics 1 & 2,

Mechatronic Components, Theory of Machines



Course lecturer(s) :Yrd. Doç. Dr. Burak Başaran



: At the end of this course, the students will be competent in designing electro-

mechanical engineering systems either alone or as a part of a team, know how to

manufacture a working model of their design, know how to document and present

their work efficiently, integrate their technical knowledge and skills acquired in the

course of their education through ethical principles, understand the principles of

engineering project management.

Course contents

: The principles of engineering design process for problem definition, feasible

solution proposal and critical decision making. Selection methodology of engineering

materials. Modeling, simulation, analysis and realization of electro-mechanical

systems through use of computer aided design (CAD), computer aided engineering

(CAE) and computer aided manufacturing (CAM). Design optimization through

failure analysis for reliability. Cost evaluation for economics. Aspects of quality in

manufacturing. Engineering ethics. Human and ecological factors in design.

Engineering project planning and management skills. Case studies. Assignment of a

real group project, its realization of a thorough engineering analysis and detailed

documentation/presentation.








principles of “engineering design

process” in mechatronics

applications





discussions

Submission of weekly written

reports of progress and in-class

presentations, peer evaluation of

effort and task success in group,

final poster and final group

presentation, final report




manufacturing standards





discussions













Course

Code MCH 495

Course

Name Senior Design Project I

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Undergrad. 7 English 3 0 0 3 6

COURSE INFORMATION

2

of electrics and electronics

standards



discussions





4. Problem definition and need

identification for innovative

engineering design of industrial

products





discussions







5. Critical thinking and decision

making for the best concept

selection for project realization





discussions








the-art CAD/CAM/CAE tools for

embodiment and detailed design

through intense modeling and

simulation efforts





discussions








environment





discussions








skills





discussions









skills





discussions







10. Working knowledge in legal and

ethical issues in engineering

design





discussions







11. Working knowledge in quality

control, robust design and design

optimization, cost evaluation and

economic decision making





discussions







COURSE INFORMATION

3



Resource(s)

Time

(Hours)

1 The Engineering Design Process Textbook/Lecture

Notes

3

1’ Students form teams and start their search for a suitable design

project and a sponsor


books/Internet

2 The Product Development Process Textbook/Lecture

Notes

3

2’ Students inform and consult the instructor about their effort to

decide on a project and find a sponsor

--- ---

3 Problem Definition and Need Identification Textbook/Lecture

Notes

3

3’ Students submit a project proposal to the instructor and start with

their design process upon the approval of the instructor

--- ---

4 Team Behavior and Tools Textbook/Lecture

Notes

3

5 Gathering Information Textbook/Lecture

Notes

3

6 Concept Generation Textbook/Lecture

Notes

3

7 Decision Making and Concept Selection Textbook/Lecture

Notes

3

8 Embodiment Design Textbook/Lecture

Notes

3

9 Detail Design Textbook/Lecture

Notes

3

9’ Students submit an interim project report to the instructor and

inform him on their progress

--- ---

10 Modeling and Simulation Textbook/Lecture

Notes

3

11 Materials Selection Textbook/Lecture

Notes

3

12 Design with Materials and manufacturing Textbook/Lecture

Notes

3

13 Risk, Reliability, and Safety Textbook/Lecture

Notes

3

14 Quality, Robust Design, and Optimization, Cost Evaluation,

Economic Decision Making

Textbook/Lecture

Notes

3

15 Legal and Ethical Issues in Engineering Design Textbook/Lecture

Notes

3

15’ Students perform a mock project presentation to the peers and

prepare a poster to display their effort

Textbook/Lecture

Notes

3

16 Final Exam 3

17 Final Exam

COURSE INFORMATION

4

Sources

Course

notes/textbooks

: “Engineering Design”, by George Dieter & Linda Schmidt, McGraw-Hill

Science/Engineering/Math; 5th ed, 2012, ISBN 978-0073398143


Supplemental

readings

: “The Mechanical Design Process”, by David Ullman, McGraw-Hill


“Engineering Design Process”, by Yousef Haik & Tamer Shahin, CL Engineering, 2nd

ed, 2010,

ISBN 978-0495668145

“Engineering Design Methods: Strategies for Product Design”, by Nigel Cross, Wiley, 4th ed,

2008, ISBN 978-0470519264

“Engineering Design: A Systematic Approach”, by Gerhard Pahl, Springer, 3rd ed, 2007, ISBN

978-1846283185

References


2011, ISBN 978-1111321833


7th ed, 2007, ISBN 978-0073521510

“Machinery's Handbook 29th Ed.”, by Erik Oberg, Industrial Press; 29th Indexed edition, 2012,

ISBN 978-0831129019

“Mechanical Design of Machine Elements and Machines”, by Jack A. Collins, Wiley, 2nd ed,

2009, ISBN 978-0470413036

“Shigley's Mechanical Engineering Design”, by Richard Budynas, McGraw-Hill


“Machine Elements in Mechanical Design”, by Robert Mott, Prentice Hall, 4th ed, 2003, ISBN

978-0130618856

“The Elements of Mechanical Design”, by James Skakoon, ASME Press (American Society of

Mechanical Engineers), 2008, ISBN 978-0791802670


ed, 2010, ISBN 978-1856176637

“Mechanisms and Mechanical Devices Sourcebook”, by Neil Sclater, McGraw-Hill

Professional; 5th ed, 2011, ISBN 978-0071704427

“Illustrated Sourcebook of Mechanical Components”, by Robert Parmley, McGraw-Hill

Professional; 1st ed, 2000, ISBN 978-0070486171

“Design of Machinery”, by Robert Norton, McGraw-Hill Science/Engineering/Math, 5th ed,

2011, ISBN 978-0077421717

“Engineering Design: A Project Based Introduction”, by Clive Dym, Wiley; 3rd ed, 2008, ISBN

978-0470225967

COURSE INFORMATION

5

“Fundamentals of Machine Component Design”, by Robert Juvinall, Wiley; 5th ed, 2011, ISBN

978-1118012895

“Mechanical Design”, by Peter Childs, Butterworth-Heinemann; 2nd ed, 2004, ISBN 978-

0750657716

“Kinematic Chains and Machine Components Design”, by Dan B. Marghitu, Academic Press;

1st ed, 2005, ISBN 978-0124713529

“Introduction to Mechatronics and Measurement Systems”, by David Alciatore, McGraw-Hill


Evaluation System


Attendance 42 ---

Quizzes --- ---

Homework 16 reading assignments 5%

Laboratory/Practice --- ---

Report(s) 1 final report 15%

Graduate Thesis/Project --- ---

Seminar --- ---

Presentation 15 weekly presentations 10%

Projects 1 ---

Midterm exam(s) 1 interim project report 15%

Others 1 final poster 15%

Final exam 1final presentation 40%

Total 100

Percentage of semester work

Percentage of final exam

Total 100





Final exam 1 3 3


homework 11 2 22


presentation 5 5 25


project 10 4 40


midterm exams 0 0 0


exam 4 5 20

Total 152


COURSE INFORMATION

6



LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 4 4 4 4 4 4 4 4 4 4 4 4

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION

1



for Admission

: Senior Design Project I, Engineering Mechanics, Elements of Design for

Mechatronics 1 & 2, Mechatronic Components, Theory of Machines



Course lecturer(s) :Yrd. Doç. Dr. Burak Başaran



: At the end of this course, the students will become competent in manufacturing of

electro-mechanical engineering systems, either alone or as a part of a team, know how

to document and present their work efficiently, integrate their technical knowledge

and skills acquired in the course of their education through ethical principles,

understand the principles of engineering project management and actually

manufacture a working model of their design finalized in MCH 495. The course aims

to provide the students with a real-life hands-on manufacturing experience where they

can utilize various manufacturing processes/techniques/tools and apply international

mechanical & electrical codes/standards.

Course contents

: Realization of the working model of the design from MCH 495. Manufacturing

processes selection, planning and project management skills. Reapplication of the

principles of engineering design process to problems faced during manufacturing

stage. Design optimization for manufacturability. Reselection of engineering

materials if necessary. Selection of standard mechanical and electrical

parts/components. Focusing on computer aided design (CAD) /drafting, and

computer aided manufacturing (CAM) methods. Reevaluation of cost for better

economics. Inspection of quality, dimensional and geometric tolerances.

Performance assessment of the realized prototype.







1. A good understanding of how the

principles of “engineering design

process” is extended to real life

manufacturing of electro-

mechanical systems





discussions




effort and task achievement in

group, final poster and final group





manufacturing codes/standards





discussions







Course

Code MCH 496

Course

Name Senior Design Project II

Type of

Course

Level of


Application


Local

Credits ECTS

Compulsory Undergrad. 8 English 3 0 0 3 6

COURSE INFORMATION

2



of electrics and electronics

codes/standards





discussions







4. The ability to select the standard

mechanical and electrical

components required for the

design





discussions







5. Critical thinking and decision

making for the best materials to

use in their design and the most

cost efficient manufacturing

processes suitable to shape/join

these materials





discussions








the-art CAD/CAM software,

machining tools and other

manufacturing processes and

techniques





discussions

S Submission of weekly written







environment and effort





discussions







8. Acquiring of manufacturing

project management skills





discussions









skills





discussions







10. Transfer of the knowledge in

legal and ethical issues from

design stage to manufacturing

stage





discussions







11. Working knowledge in quality

control, dimensional and

geometric tolerances





discussions






COURSE INFORMATION

3




Resource(s)

Time

(Hours)

1 Design for manufacture and assembly Textbook/Lecture

Notes

3

1’ Students recall teams from MCH 495 and start their decision

process for suitable manufacturing processes and a sponsor


books/Internet

2 Rapid prototyping, tooling and manufacturing Textbook/Lecture

Notes

3

2’ Students inform and consult the instructor about their effort to

decide on manufacturing processes and a sponsor

--- ---

3 Dimensioning and tolerancing Textbook/Lecture

Notes

3

3’

Students critically review their 2D manufacturing drawings

documented in MCH 495 for manufacturing purposes, submit a

project proposal to the instructor and start with their

manufacturing process

--- ---

4 Basic tools for tolerance analysis of mechanical assemblies Textbook/Lecture

Notes

3

5 CAD/CAM/CAE Textbook/Lecture

Notes

3

6 Manufacturing simulation Textbook/Lecture

Notes

3

7 Heat treating, hot working and metal forming Textbook/Lecture

Notes

3

8 Metal casting processes Textbook/Lecture

Notes

3

9 Powder metallurgy Textbook/Lecture

Notes

3

9’ Students submit an interim project report to the instructor and

inform him on their progress in manufacturing

--- ---

10 Welding, fabrication and arc cutting Textbook/Lecture

Notes

3

11 Rolling process and pressworking Textbook/Lecture

Notes

3

12 Brazing Textbook/Lecture

Notes

3

13 Metal cutting and turning theory Textbook/Lecture

Notes

3

14 Hole making, tapping, broaching, grinding, metal sawing Textbook/Lecture

Notes

3

14’

Students are expected to evaluate the performance of their

working model with respect to the functions and requirements

listed in their project proposal for MCH 495

Textbook/Lecture

Notes

3

15 Fundamentals and trends in robotic automation, machine vision --- ---

15’ Students perform a mock project presentation to the peers (and

prepare a poster) to display their effort

Textbook/Lecture

Notes

3

16 Final Exam 3

17 Final Exam

COURSE INFORMATION

4

Sources

Course

notes/textbooks

: “Manufacturing Engineering Handbook”, by Hwaiyu Geng, McGraw-Hill Professional 1st ed,

2004, ISBN 978-0071398251


Supplemental

readings

: “Fundamentals of Modern Manufacturing: Materials, Processes, and Systems”, by Mikell P.

Groover, Wiley, 4th ed, 2010, ISBN 978-0470467008

“Manufacturing Engineering & Technology”, by Serope Kalpakjian, Prentice Hall; 6th ed, 2009,

ISBN-13: 978-0136081685

References


2011, ISBN 978-1111321833


7th ed, 2007, ISBN 978-0073521510

“Machinery's Handbook 29th Ed.”, by Erik Oberg, Industrial Press; 29th Indexed edition, 2012,

ISBN 978-0831129019


ed, 2010, ISBN 978-1856176637

“Manufacturing Processes for Design Professionals”, by Rob Thompson, Thames & Hudson,

2007, ISBN 978-0500513750

Evaluation System


Attendance 42 ---

Quizzes --- ---

Homework 16 reading assignments 5%

Laboratory/Practice --- ---

Report(s) 1 final report 15%

Graduate Thesis/Project --- ---

Seminar --- ---

Presentation 15 weekly presentations 10%

Projects 1 ---

Midterm exam(s) 1 interim project report 15%

Others 1 final poster 15%

Final exam 1final presentation 40%

Total 100

Percentage of semester work

Percentage of final exam

Total 100





COURSE INFORMATION

5

Final exam 1 3 3


homework 11 2 22


presentation 5 5 25


project 10 4 40


midterm exams 0 0 0


exam 4 5 20

Total 152




LO1 5 5 5 5 5 5 3 5 5 5 5 5

LO2 5 5 5 5 5 5 3 5 5 5 5 5

LO3 5 5 5 5 5 5 5 5 5 5 5 5

LO4 5 5 5 5 5 5 5 5 5 5 5 5

LO5 5 5 5 5 5 5 3 5 5 5 5 5

LO6 5 2 2 5 5 5 5 5 3 4 4 3

LO7 3 3 5 3 3 3 5 3 5 3 3 3

LO8 5 5 5 5 5 5 5 5 5 5 5 5

LO9 3 5 3 3 3 3 3 3 5 3 3 3

LO10 2 2 5 5 5 2 2 4 5 5 5 5

LO11 5 2 2 5 5 5 5 5 3 4 5 3


COURSE INFORMATION



for Admission :






: Acquisition of the basic principles of software engineering and the ability to

apply them in a software development project. In this context the stages of the

software development lifecycle, and the tools and techniques used in each

stage are introduced.

Course contents

: Basic concepts of Software Engineering, Process Models, Project

Management, Requirements Analysis, System Models, Requirements

Specification, Prototyping, Software Design, Software Reliability, Validation

and Verification, Software Maintenance






Methods/Techniques



1 understand software development processes Lectures / Presentations Projects, Presentations,

Exams

2 comprehend major software development

processes (waterfall, evolutionary and spiral).

Lectures / Presentations Projects, Presentations,

Exams

3 manage software projects and perform risk

analysis.


Exams

4 specify the requirements of a software

project.


Exams

5 implement prototyping in a software project. Lectures / Presentations Projects, Presentations,

Exams

6 develop UML models Lectures / Presentations Projects, Presentations,

Exams

7 understand software architecture models Lectures / Presentations Projects, Presentations,

Exams

8 design a software project. Lectures / Presentations Projects, Presentations,

Exams

9 use design patterns in a software project Lectures / Presentations Projects, Presentations,

Exams

10 participate in a teamwork in a software

project.


Exams

11 specify user interfaces Lectures / Presentations Projects, Presentations,

Exams

Course

Code COM411

Course

Name Software Engineering

Type of

Course

Level of


Application


Local

Credits ECTS


COURSE INFORMATION

12 apply test-driven development method in a

software project


Exams

13 manage software maintenance activities Lectures / Presentations Projects, Presentations,

Exams



Resource(s)

Time

(Hours)

1 Introduction: The definition and importance of software

engineering, Software process and product types

Textbook/ Course

Notes

3

2 Software Process Models: Waterfall model, evolutionary

model and spiral model

Textbook/ Course

Notes

3

3 Software project management and risk analysis Textbook/ Course

Notes

3

4 Requirements engineering and its phases briefly Textbook/ Course

Notes

3

5

Requirements Engineering: Phases of Requirements

Engineering, Requirements Analysis and system models and

UML

Textbook/ Course

Notes

3

6 Requirements: Requirements types, Requirements definition. Textbook/ Course

Notes

3

7 Prototyping: Types of prototyping, tools and their usage in the

software process

Textbook/ Course

Notes

3

8 Midterm exam 2

9 Software Design: Design process, design approaches and

methods

Textbook/ Course

Notes

3

10 Architectural Design: system structuring and modular

decomposition

Textbook/ Course

Notes

3

11 Patterns: Architectural patterns and design patterns Textbook/ Course

Notes

3

12 User interface design, help system, user documents. Textbook/ Course

Notes

3

13 Validation and Verification: Static verification. Textbook/ Course

Notes

3

14 Validation and Verification: Types and phases of verification. Textbook/ Course

Notes

3

15 Software Maintenance: Types of maintenance, maintenance

cost, configuration management.

Textbook/ Course

Notes

3

16 Final exam 2

17 Final exam

Sources

Course

notes/textbooks : Sommerville, I., "Software Engineering", Addison Wesley, 2010

Readings :

Supplemental

readings :

References :

COURSE INFORMATION

Evaluation System


Attendance

Quizzes

Homework

Presentation 1 10

Laboratory/Practice

Report(s)


Seminar

Projects 2 40


Others

Final exam 1 30

Total 100



Total 100





course 14 2 28


Final exam 1 2 2


presentation 1 6 6


project 6 5 30




exam 4 6 24

Total 154


COURSE INFORMATION



LO1 4 2 5 3 4 3 2 4 4 3 4 2

LO2 4 3 4 2 4 3 2 4 3 3 4 2

LO3 4 2 3 2 5 2 4 3 3 2 4 3

LO4 4 3 4 3 5 3 2 2 2 2 2 1

LO5 4 3 4 4 4 2 1 1 2 2 2 3

LO6 4 2 3 3 4 3 2 2 3 2 4 2

LO7 4 3 2 2 4 3 2 2 3 3 4 2

LO8 4 2 2 1 5 2 1 1 2 2 3 2

LO9 4 2 3 1 4 3 1 2 2 2 4 3

LO10 4 3 5 5 4 4 5 2 1 2 4 2

LO11 4 2 2 2 4 2 3 2 2 2 4 3

LO12 4 3 3 2 4 3 2 3 2 2 4 2

LO13 4 2 2 2 4 2 3 3 3 3 4 4


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