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Scientific Computing Lab

The Scientific Computing Lab, led by Dr. Miriam Mehl, focuses on solving ordinary and partial differential equations through a hands-on project approach. Students will engage with worksheets every two weeks, complemented by an introductory lecture and personal presentations. Key prerequisites include knowledge of differential equations and linear algebra, with emphasis on MATLAB programming in a Linux environment. Grades are based on program functionality and presentation performance, with no written exams. For inquiries, students can contact staff via provided emails.

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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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