Workload:
90 h
Module Number MEDZ-4522 |
Module Title Machine Learning for Health |
Lecture Type(s) Seminar |
---|---|---|
ECTS | 3 | |
Work load - Contact time - Self study |
Workload:
90 h Class time:
30 h / 2 SWS Self study:
60 h |
|
Duration | 1 Semester | |
Frequency | In the winter semester | |
Language of instruction | English | |
Type of Exam | Oral presentation and written report |
|
Content | This seminar covers different state-of-the-art machine learning methods on biomedical |
|
Objectives | Machine Learning for Health: Successful students know the most important terms, theories and methods in |
|
Allocation of credits / grading |
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%) |
|
Prerequisite for participation | There are no specific prerequisites. | |
Lecturer / Other | Pfeifer | |
Literature | The papers will be announced at the first meeting. / recommended: Machine learning: theory and algorithms or Introduction to Statistical |
|
Last offered | Wintersemester 2022 | |
Planned for | Wintersemester 2024 | |
Assigned Study Areas | INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS, ML-DIV |