Module Number

INFO-4192
Module Title

Machine Learning and Artificial Neuronal Networks in Biomedical Applications
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 Irregular
Language of instruction English
Type of Exam

Presentation

Content

The seminar "Machine Learning and Artificial Neural Networks in Biomedical Applications" deals with current topics in signal processing in the field of nerve signal processing (e.g. neuroprosthetics or brain-computer interfaces), medical signals (e.g. fMRI or MEG) or related areas as well as signal processing algorithms used in these areas.

Objectives

The students have a deep scientific insight into neural computing based on current publications. They are able to transfer findings from biological systems and medicine directly into the field of computer science. This transfer performance requires a high degree of reading and learning competence and a high level of commitment to independent scientific information retrieval.

Allocation of credits / grading
Type of Class
Status
SWS
Credits
Type of Exam
Exam duration
Evaluation
Calculation
of Module (%)
Seminar
S
o
2
3.0
tp, op
30
g
100
Prerequisite for participation There are no specific prerequisites.
Lecturer / Other Nagel
Literature

aktuelle Veröffentlichungen

Last offered unknown
Planned for currently not planned
Assigned Study Areas INFO-INFO, MEDI-APPL, MEDI-INFO, MEDI-MEDI, MEDI-VIS, MEDZ-MEDTECH, MEDZ-SEM, ML-CS