Making automated driving safer: RELiABEL project launched
Making automated driving safer: RELiABEL project launched
Summer Term 2016
Organiser
Prof. Dr. Michael Günther
Dr. Karsten Kahl
Dr. Long Teng
Type
Lecture and Exercises (4+2 SWS)
The course comprises 4h lectures and 2h exercises per week.
Lab exercises are part of a separate course.
Target audience
The course is dedicated to students in mathematics, financial mathematics, computer simulation in science, IT and SII.
Prerequisite
Knowledge of basic courses in mathematics (Analysis I-II, Linear Algebra I-II or similar), Introduction to Numerical Mathematics (or: block course 'Introduction to Numerical Methods for Computer Simulation') and Numerical Analysis and Simulation I: ODEs.
Credits
9 Credit Points
Lab Exercise
Separate course: Lab Exercises for Numerical Analysis and Simulation II: PDEs
Examination
There will be a written examination at the end of the term.
Topics
Numerical methods for partial differential equations.
Time and Place
Lecture:
Tuesday, 14:00-16:00 in room G. H06 <br/> Thursday, 14:00-16:00 in room G. H06 <br/>
Exercise:
Tuesday, 16:00-18:00 in room MI 13.05
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Exercise sheet
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Script