Hasso-Plattner-Institut
HPI Digital Health Cluster
 

Winter Term 2025/26

 

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)