19405001
Lecture
Foundations in Mathematics and Statistics
Max von Kleist, Liu-Wei Wang
Comments
Goals: The students get a basic understanding of advanced mathematical concepts and methods in numerics, statistics, and optimization in the context of current research in bioinformatics and systems biology. They are able to choose problem-specific methods, to apply them in practice, and to evaluate the quality of the results.
Contents: The course will address topics from the following areas:
- Numerics
- Modeling chemical reaction networks
- Differential equation modeling
- Parameter identification, sensitivity, identifiability
- Optimization
- Linear optimization (Simplex, polyhedra)
- Integer linear optimization (branch-and-bound, branch-and-cut)
- Local search and metaheuristics
- Statistics
- Testing and regression
- Classification
- Bootstrap and model evaluation
16 Class schedule
Regular appointments
Thu, 2024-10-17 10:00 - 12:00
Thu, 2024-10-24 10:00 - 12:00
Thu, 2024-10-31 10:00 - 12:00
Thu, 2024-11-07 10:00 - 12:00
Thu, 2024-11-14 10:00 - 12:00
Thu, 2024-11-21 10:00 - 12:00
Thu, 2024-11-28 10:00 - 12:00
Thu, 2024-12-05 10:00 - 12:00
Thu, 2024-12-12 10:00 - 12:00
Thu, 2024-12-19 10:00 - 12:00
Thu, 2025-01-09 10:00 - 12:00
Thu, 2025-01-16 10:00 - 12:00
Thu, 2025-01-23 10:00 - 12:00
Thu, 2025-01-30 10:00 - 12:00
Thu, 2025-02-06 10:00 - 12:00
Thu, 2025-02-13 10:00 - 12:00
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