Module CS4354-KP04

Seminar Medical Data Science and eHealth (MDS4Health)


Duration

1 Semester

Turnus of offer

each winter semester

Credit points

4

Course of studies, specific fields and terms:

  • Master Medical Informatics 2019, advanced module, medical computer science

Classes and lectures:

  • Seminar Medical Data Science and eHealth (seminar, 2 SWS)

Workload:

  • 30 hours in-classroom work
  • 60 hours work on an individual topic from a recent field of research and written elaboration
  • 30 hours oral presentation (including preparation)

Contents of teaching:

  • General state-of-the-art study in the field of Medical Data Science and e-Health.
  • Specific state-of-the-art study regarding a selected research topic from the area of Medical Data Science and e-Health.
  • Identification of open scientific problems in a selected research topic.
  • Preparing a written summary regarding a selected research topic in English.
  • Presentation and discussion of a selected research topic in English.

Qualification-goals/Competencies:

  • Students know how to perform a state-of-the-art study in a selected research area using recommended literature.
  • Students know how to identify open scientific problems in a selected research area.
  • Students know how to describe the state-of-the-art of a selected research topic identifying its open scientific problems in a written summary in English.
  • Students know how to present and discuss the state-of-the-art of a selected research topic identifying its open scientific problems in English.

Grading through:

  • participation in discussions

Responsible for this module:

Language:

  • offered only in English

Notes:

Admission requirements for taking the module:
- None

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):
- CS4354-L1: Seminar Medical Data Science and eHealth, graded seminar, 100% of the module grade

Last Updated:

30.09.2024