Visual Analytics in Health Care

Winter
(in German: Visual Analytics in Health Care
)
Module-ID: FIN-INF-120476
Abbreviation
VAHC
Credit Points
3
Semester
Winter
Term
starting at 1.
Duration
1 Semester
Language
english
Level
Master
Link:
 LSF
Limited accessability:
Responsibility:
Bernhard Preim
Lecturer:
Bernhard Preim
Classes:
'- Seminar Visual Analytics in Health Care
 
Applicability in curriculum:
- M.Sc. INGINF: Informatik
- M.Sc. WIF: Informatik
- M.Sc. DKE: Applied Data Science
- M.Sc. DE: Methoden der Informatik
- M.Sc. DE: Fachliche Spezialisierung
- M.Sc. VC: Visual Computing
Intended learning outcomes:
The students ...
know specific visual analytics solutions that are used in public healthcare applications
can interpret and evaluate public healthcare data
present and explain visual analytics solutions in healthcare scenarios
Content:
Overview: Potential and applications of Visual Analytics in Healthcare
Visual Analytics in Public Health
Visual Analytics in Clinical Medicine
Visual Analytics for Detecting Adverse Drug Effects
Visual Analytics in Epidemiology
Workload:
3 credit points = 90 h (28 h attendance time + 62 h independent work), grading scale according to examination regulations
Pre-examination requirements:
Type of examination:
Teaching method / lecture hours per week (SWS):
Examinations: student talk, seminar paper (10 pages)
Seminar (3 SWS)
Prerequisites according to examination regulations:
Recommended prerequisites:
none
Visualization, Data Mining, Visual Analytics or Information Visualization
Media:
Literature:
PowerPoint presentation, use of whiteboard, videos
Workshop volumes of the IEEE Workshop Visual Analytics in Healthcare (since 2010), selected publications of other conferences / magazines in the fields of data analysis and visualization
Comments:
Auch anrechenbar für Studierende des Masterstudiengangs "Medical Systems Engineering".