We will use a hybrid or virtual format, with videos of the lectures that can be asynchronically assessed. Discussions and exercises take either place in presence or using Zoom.
- Lecture with 4+2 SWS and 9 ECTS-Credits
- Lecturers and ; practical exercises
It will survey mathematical concepts for clinical decision support systems and apply them to models of biological/medical problems. We shall also address medical content for non-specialists (mathematicians).
A preliminary table of contents is the following.
- CDS Case Studies (most from oncology and cardiology)
- Sensitivity Analysis
- Parameter and State Estimation
- Optimal Control
- Experimental Design
- Dual Control
- Machine Learning
Practical exercises will complement the lecture.
Mathematical basics (Analysis and Linear Algebra) and programming skills.
Feel free to send me an email with general questions and let me know if you plan to attend the lecture: