Modul CS4333-KP04

Seminar Model and AI-based image processing in medicine (MoKiBiS)

Duration:

1 Semester

Turnus of offer:

each summer semester

Credit points:

Course of studies, specific field and terms:

Master Medical Informatics 2019 (advanced module), medical computer science, 1st or 2nd semester

Classes and lectures:

Seminar Model and AI-based image processing in medicine (seminar, 2 SWS)

Workload:

30 Hours private studies
30 Hours in-classroom work
40 Hours written report
20 Hours oral presentation (including preparation)

Contents of teaching:
Familiarisation with a scientific topic on the basis of selected publications from current research Treatment of a scientific problem and its solution process Presentation and discussion of the topic

Qualification-goals/Competencies:

The students are familiar with current research topics and scientific methods of medical image processing and visualization from the seminar.
They can thoroughly work on a challenging scientific topic.
They are able to present the results in a written elaboration and in an oral presentation in an understandable way.
They can present and discuss a scientific question.

Grading through:

Written report

Language:

German and English skills required

Notes:

Admission requirements for taking the module:
- None (the competences of the modules mentioned under ''requires'' are needed for this module, but are not a formal prerequisite).

Admission requirements for participation in module examination(s):
- Successful and regular participation in the seminar incl. written elaboration, presentation, contributions to the discussion according to the requirements at the beginning of the semester.

Module Exam(s):
- CS4333-L1 Seminar Model- and AI-based Image Processing in Medicine, graded seminar.

Previous or simultaneous participation in the module ''CS4332-KP06 - Model- and AI-based Image Processing in Medicine'' is recommended.

Letzte Änderung:

14.9.2021

Module guide