inf529 - Big Data in Medicine - Campusmanagementsystem Stud.IP

inf529 - Big Data in Medicine

Department of Computing Science

6 KP

Module components

Semester courses Summer semester 2024

Examination

Lecture

2.01.529 - Big Data in der Medizin
- 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

2.01.529 - Big Data in der Medizin
- 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)

Notes on the module

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