Workload:
90 h
|
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 | |