Workload:
90 h
|
Module Number MEDZ-4710 |
Module Title Data Privacy |
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 | Oral presentation and written report |
|
| Content | This seminar covers current research topics in the field of data privacy and their applications. Topics include (but are not limited to) social network privacy, machine learning privacy, and biomedical data privacy. |
|
| Objectives | Students will learn, summarize, and present state-of-the-art scientific papers in data privacy. They can critically assess the contributions of a paper. They can present current research results to other students and researchers, and can lead research discussions. They can summarize and evaluate the results of research papers in form of a oral presentation and a written report. |
|
| 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 | Akgün | |
| Literature | Wird in der Vorbesprechung bekannt gegeben / Will be announced in a preparatory meeting at the start of the semester |
|
| Last offered | Wintersemester 2022 | |
| Planned for | currently not planned | |
| Assigned Study Areas | BIO-SEM, INFO-INFO, MEDI-APPL, MEDI-INFO, MEDZ-SEM, ML-CS | |