Hasso-Plattner-Institut
HPI Digital Health Cluster
 

Introduction to IT Systems for Digital Health Experts

General Information

  • You are viewing an archived version of the course, please find a newer version here
  •  
  • Teaching staff: Florian Borchert, Dr. Matthieu-P. Schapranow
  • Format: 4 Semesterwochenstunden (SWS) 6 ECTS (graded)
  • Schedule:
    • Tuesdays at 01.30 pm (s.t.) on Campus III, building G1, room E.15/16
    • Thursdays at 01.30 pm (s.t.) on Campus III, building G1, room E.15/16
  • First course:
    • Tue Oct 15, 2024 at 01.30pm (s.t.) on Campus III, building G1, room E.15/16

News

  • Thu Feb 13, 2025: Final exams -- you will receive further instructions via email
  • Thu Feb 04, 2025: Q&A session
  • Thu Jan 23, 2025: Self-paced training (no on-site meeting) for working on Exercise 03 and on the lecture material on emails.
  • Tue Jan 21, 2025: Exercise 03 published.
  • Thu Dec 19, 2024: Self-paced training (no on-site meeting) for working on Exercise 02
  • Tue Dec 10, 2024: Exercise 02 published.
  • Tue Dec 03, 2024: Relocated to seminar room V-2.11 on HPI campus II.
  • Thu Oct 31, 2024: Reformation Day (bank holiday). 
  • Tue Nov 12, 2024: Exercise 01 published.
  • Tue Oct 22, 2024: Self-paced training (no on-site meeting) on data sources and data foundations.  
  • Tue Oct 01, 2024: Kickoff lecture is scheduled for Tue Oct 15, 2024 at 01.30pm (s.t.) on Campus III, building G1, room E.15/16 -- final exams are scheduled for Thu Feb 13, 2024.
  • Fri Sep 13, 2024: Course webpage published.

Scope of the lecture

Welcome to the class: We are very excited that you are interested in equipping you with an introduction to IT systems for digital health experts. The bridge module teaches foundation concepts and technologies, which are required in the field of digital health, in the following areas:

  • Complex IT systems,
  • Operating systems, as well as
  • Internet/WWW.

After participating in the course, you will be equipped with the ability to: 

  • Modeling of complex IT systems and data schemes, understand the founation of data formats, data encoding, data processing and its storage,
  • Data handling, resource management, understand the foundations of different computing architectures, and 
  • Digital health apps, interconnection of front- and backend, communication protocols, storing and sharing of digital health data.

Further details about the structure of the lecture will be shared with you in the kickoff lecture (please check the date on the top of this page).

Grading

In the course of the lecture, you will have to conduct a small number of personal exercises to recap the presented lecture content. You have to pass all of these intermediate exercises prior to participate the final exam (Prüfungsvorleistung).

The final grading will be determined by either of the following parts:

  • Oral examination (100%) OR
  • Final exam at the end of the course (100%)