Mathematica in physics and biology · using Mathematica for his research for more than 20 years....
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Mathematica in physics and biology An introduction Prof. Dr. Ernst H.K. Stelzer, Physikalische Biologie, BMLS, IZN, FB15 [email protected], Tel +49 (69) 798 42547 Dr. Sabine Fischer, Physikalische Biologie, BMLS, IZN, FB15 [email protected], Tel +49 (69) 798 42554 Information about Mathematica The computer software Mathematica provides an outstanding tool for everyone who needs to apply approved mathematical methods. Mathematica is based on a closed environment, in which it is possible to apply the methods of analysis, linear algebra, number theory, ... as well as numerical methods, two and three dimensional image processing, accessing data bases, CUDA and controlling complex devices. Wolfram|Alpha and Apple‘s Siri voice control are based on Mathematica. Its capability of generating high quality graphics is of particular interest. Date & location The course is a one week workshop from 4. till 8. March 2013, 9 am until 6 pm in room 0.406 of the Biologicum (Biopool). A first meeting to discuss organisational issues will take place on 7. February 2013 at 11:30 am in room 1.602 on the first floor of the BMLS building (Max-von-Laue-Str. 15). Programme The lectures and practicals will take place during five days in a block of 40 to 45 hours. The course consists of 13 talks of approximately 45 min each and corresponding exercises. To help with the exercises there will be several tutors during the whole course. Mathematica is installed on every computer in the Biopool. It is also possible to bring your own laptop but you would require your own Mathematica license. The aim of the course is that by Friday evening every participant can use Mathematica unassistedly. 1. Mathematica user interface Opening and closing, Notebook, help system, Wolfram|Alpha 2. Scalars, vectors and matrices Numbers, N, complex numbers, display 3. Graphics I One and two dimensional graphics 4. Analysis I Systems of equations, functions, Solve, LinearSolve 5. Mathematica principles Lists, headers, Apply, Map, Inner, Outer 6. Analysis II Differentiation and integration, differential equations 7. Functions, patterns and rules Functions of several variables, defaults values, overloading 8. Import, export and handling of data Data formats, data processing 9. Statistics and probability theory Random numbers, random distributions 10. Data analysis Linear and nonlinear data analysis, data clustering 11. Graphics II Combining graphics, axes labelling, legends 12. Signal and image analysis Image processing, filters, feature extraction, Fourier 13. Parallel computing GridMathematica, lightweight grid, remote control, CUDA Participants The course is open to all students and employees of the university inde- pendent of their department. A basic knowledge of mathematics is beneficial. Knowledge in programming is not required. If you are interested in the course, please send an email to [email protected], stating your name, subject and semester or your position at the university. Please note that the course is not compulsory and therefore no credits can be obtained. Tutors Ernst H.K. Stelzer .... has studied physics and was working at the EMBL in Heidelberg from 1983 until 2011. Since March 2011 he is working at the Goethe university. He has been using Mathematica for his research for more than 20 years. His daily use of Mathematica includes analyti- cal calculations as well as processing of large stacks of images. Currently, his main technical interests are image processing and controlling devices of different complexity. His scientific interests are optics, stochas- tic processes in physics and biology as well as three dimensional biology and specific questions in devel- opmental biology. Sabine Fischer ... is interested in mathematical biology and has been working as a postdoc at the Goethe university since October 2011. She uses Mathematica as a tool for image processing and modelling biological systems. Her main scientific interest is identifying basic mecha- nisms in biology, in particular in developmental biology. www.wolfram.com www.wolframalpha.com www.eigenwelten.com www.physikalischebiologie.de
Transcript of Mathematica in physics and biology · using Mathematica for his research for more than 20 years....
Mathematica in physics and biologyAn introduction
Prof. Dr. Ernst H.K. Stelzer, Physikalische Biologie, BMLS, IZN, [email protected], Tel +49 (69) 798 42547
Dr. Sabine Fischer, Physikalische Biologie, BMLS, IZN, [email protected], Tel +49 (69) 798 42554
Information about Mathematica
The computer software Mathematica provides an outstanding tool for everyone who needs to apply approved mathematical methods. Mathematica is based on a closed environment, in which it is possible to apply the methods of analysis, linear algebra, number theory, ... as well as numerical methods, two and three dimensional image processing, accessing data bases, CUDA and controlling complex devices. Wolfram|Alpha and Apple‘s Siri voice control are based on Mathematica. Its capability of generating high quality graphics is of particular interest.
Date & locationThe course is a one week workshop from 4. till 8. March 2013, 9 am until 6 pm in room 0.406 of the Biologicum (Biopool). A first meeting to discuss organisational issues will take place on 7. February 2013 at 11:30 am in room 1.602 on the first floor of the BMLS building (Max-von-Laue-Str. 15).
ProgrammeThe lectures and practicals will take place during five days in a block of 40 to 45 hours. The course consists of 13 talks of approximately 45 min each and corresponding exercises. To help with the exercises there will be several tutors during the whole course. Mathematica is installed on every computer in the Biopool. It is also possible to bring your own laptop but you would require your own Mathematica license. The aim of the course is that by Friday evening every participant can use Mathematica unassistedly. 1. Mathematica user interface Opening and closing, Notebook, help system, Wolfram|Alpha2. Scalars, vectors and matrices Numbers, N, complex numbers, display3. Graphics I One and two dimensional graphics4. Analysis I Systems of equations, functions, Solve, LinearSolve5. Mathematica principles Lists, headers, Apply, Map, Inner, Outer6. Analysis II Differentiation and integration, differential equations7. Functions, patterns and rules Functions of several variables, defaults values, overloading8. Import, export and handling of data Data formats, data processing9. Statistics and probability theory Random numbers, random distributions10. Data analysis Linear and nonlinear data analysis, data clustering11. Graphics II Combining graphics, axes labelling, legends12. Signal and image analysis Image processing, filters, feature extraction, Fourier13. Parallel computing GridMathematica, lightweight grid, remote control, CUDA
ParticipantsThe course is open to all students and employees of the university inde-pendent of their department. A basic knowledge of mathematics is beneficial. Knowledge in programming is not required. If you are interested in the course, please send an email to [email protected], stating your name, subject and semester or your position at the university. Please note that the course is not compulsory and therefore no credits can be obtained.
Tutors
Ernst H.K. Stelzer.... has studied physics and was working at the EMBL in Heidelberg from 1983 until 2011. Since March 2011 he is working at the Goethe university. He has been using Mathematica for his research for more than 20 years. His daily use of Mathematica includes analyti-cal calculations as well as processing of large stacks of images. Currently, his main technical interests are image processing and controlling devices of different complexity. His scientific interests are optics, stochas-
tic processes in physics and biology as well as three dimensional biology and specific questions in devel-opmental biology.
Sabine Fischer... is interested in mathematical biology and has been working as a postdoc at the Goethe university since October 2011. She uses Mathematica as a tool for image processing and modelling biological systems. Her main scientific interest is identifying basic mecha-nisms in biology, in particular in developmental biology.
www.wolfram.com www.wolframalpha.com www.eigenwelten.com www.physikalischebiologie.de
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