inf529 - Big Data in Medicine (Course overview)

inf529 - Big Data in Medicine (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Summer semester 2024 Examination
Lecture
  • Unlimited access 2.01.529 - Big Data in der Medizin Show lecturers
    • Prof. Dr. Antje Wulff
    • Anna Katharina Böhm-Hustede

    Thursday: 16:00 - 18:00, weekly (from 04/04/24)
    Friday: 14:00 - 16:00, weekly (from 05/04/24)

Exercise or project
  • Unlimited access 2.01.529 - Big Data in der Medizin Show lecturers
    • Prof. Dr. Antje Wulff
    • Anna Katharina Böhm-Hustede

    Thursday: 16:00 - 18:00, weekly (from 04/04/24)
    Friday: 14:00 - 16:00, weekly (from 05/04/24)

Hinweise zum Modul
Prerequisites

No specific prior knowledge is required

Prüfungszeiten

at the end of the lecture period

Module examination

Written or oral exam

The chosen form of examination will be announced in the first week of the course

Skills to be acquired in this module

Introduction to the subfield "Big Data in Medicine" from the field of medical informatics.

Professional competences

The students

  • know the definition and meaning of "Big Data" in the medical context
  • know the challenges of dealing with healthcare data sets
  • know the Big Data pipeline, technologies and examples from the different areas of the pipeline for the medical context


Methological competences
The students  

  • recognize potentials and challenges in data-driven use cases from the healthcare sector
  • can describe the characteristics of medical data sets using the methods learned
  • can design solutions for medical, data-driven issues using the methods learned


Social competences
The students

  • recognize the importance of interdisciplinary communication and collaboration in the analysis of medical data
  • develop, present and discuss the solutions from the exercises with others


Self competences
The students

  • know their responsibilities when dealing with medical records
  • reflect on problems and solutions, incorporating the methods they have learned