The time table WS 24/25 ( status 10/01/2024, changes might still occur! )
- Overview ofALL coursesoffered, including module allocation
- Overview ALL courses and course content via My campus
Courses 1. Semester (mandatory* & options for specialisations offered by DHC staff)
- Health and Disease Core Competencies (Bridge module) Wieler/ Heyne/ Antao)*
- Healthcare Fundamentals and Digital Health Trends (Bridge module) (Wieler/ zu Putlitz/ Antao)*
- Introduction to IT Systems (Bridge module) (Schapranow)*
- Fundamentals of Programming in Digital Health (Bridge module) ( Arnrich)*
- Digital Health and Research Systems, Data Interoperability (Heitmann/ Thun/ Prasser)*
- Biostatistics & Epidemiological Data Analysis using R (Konigorski)
Further Courses for/from Digital Health
- Biostatistics & Epidemiological Data Analysis using R (Konigorski)
- Advanced Machine Learning Seminar (Lippert)
- Applied probalistic Machine Learning (Renard/ Richard)
- Decoding your Transcriptome (Kretzmer)
- Deep Learning for Molecular Biology (Renard/ Heyne/ Rissom)
- Digital Health Spark- Igniting Need-Driven Innovation (Stern/ Pawlitschek)
- Digital Health Systems (Garcilazo)
- Ensuring Real World Impact:key considerations for implementing digital health solutions (Näher)
- Health Care Economics (Stern/ Dennett)
