back to search

Parameterinferenz für Stochastische und Deterministische Dynamische Biologische Prozesse

MA5603Specialization Phase5 ECTSEnglishWintersemester/SommersemesterDepartment Mathematics
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn to model, simulate, and estimate parameters for deterministic and stochastic dynamic biological processes. In the end you will be able to implement models in MATLAB, determine parameters using maximum-likelihood and Bayesian methods, and quantify uncertainties of the estimates.

What you will be able to do

  • Model and simulate deterministic and stochastic biological processes in MATLAB
  • Independently solve common parameter estimation problems for dynamic systems
  • Analyze uncertainties of parameter estimates with different methods
  • Present and critically evaluate results

What the module consists of

  • LectureConveying theoretical foundations (stochastic/deterministic models, probability, optimization, inference, uncertainty analysis)
  • Exercise/LaboratoryDevelopment of several MATLAB programs for parameter estimation
  • Project work/Student presentationGroup work and presentation of current research results; fosters teamwork and presentation skills

Teaching method

  • LecturesIntroduction to models and methods
  • Exercise moduleApplication and implementation of the concepts in MATLAB
  • Student participation/Project workDeepening through group work and presentations
No dates in the current semester
There are no course dates for this module this semester, or they haven't been matched yet.

Module ratings

No ratings for this module yet.

Rate this module

Only fill in the categories you can judge – for each one, either stars and text together or nothing at all.

Lecture
Tutorial
Exam

Reviews are automatically checked before they are published.

Official page in TUMonline · Details are not binding.