- principles of math (algebra, analysis/calculus)
- principles of stochastics
- principles of programming, Java/C++ and R/Matlab
- advanced programming skills
Performance record
Written exam
Miscellanea
As this is a module you also need to register for the exercise and the project seminar. The registration is carried out during the lecture.
- methods for search, optimization, planning, classification, regression and prediction in a clinical context - representation of medical knowledge - understanding challenges due to clinical and patient related data and data acquisition The students will work in groups to apply the methods introduced during the lecture using problem based learning.
Russel & Norvig: Artificial Intelligence: a Modern Approach, 2012 Berner: Clinical Decision Support Systems: Theory and Practice, 2007 Greenes: Clinical Decision Support: The Road Ahead, 2007 Further literature will be given in the lecture
Admission settings
The course is part of admission "Anmeldung gesperrt (global)".
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