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Scientific Computing Lab

Scientific Computing in Computer Science. Institut für Informatik. Scientific Computing Lab. Organization. Dr. Miriam Mehl. Tasks. ‚feeling‘ for Scientific Computing: model numbers pictures. quality? accuracy costs robustness. Contents.

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Scientific Computing Lab

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  1. Scientific Computing in Computer Science Institut für Informatik Scientific Computing Lab Organization Dr. Miriam Mehl

  2. Tasks ‚feeling‘ for Scientific Computing: model numbers pictures • quality? • accuracy • costs • robustness

  3. Contents • ordinary differential equations • initial value problems • partial differential equations • boundary value problems • boundary+intitial value problems

  4. Prerequisites • login and password • operating system: Linux • programming language: MATLAB • helpful knowledge: • differential equations • linear algebra

  5. Organization • 6 worksheets • introductory lecture • supervised project work • email submission • personal presentation

  6. What Determines the Grades? • functionality of programs • answers to questions during presentation • no final written or oral exam

  7. How to Get the Worksheets? every two weeks • during the lecture • from our webpage http://www5.in.tum.de/wiki/index.php/Scientific_Computing_Lab_-_Winter_08

  8. Where to ask questions? • contact students • Kaveh Rahnema (rahnema@in.tum.de) • Yang Li (liya@in.tum.de) • Dheevatsa Mudigere (mudigere@in.tum.de) • staff • Miriam Mehl (mehl@in.tum.de) • Martin Buchholz (buchholm@in.tum.de) • Bernhard Gatzhammer (gatzhamm@in.tum.de)

  9. How to Submit the Results? two weeks time per worksheet • submission per email (Monday, to contact students) • personal presentation (Tuesday afternoon) • be prepared for questions

  10. Rules • no example solutions! • no lecture notes! • write your own (in your own ‚language‘)! • delayed submission • requires a medical certificate

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