Hasso-Plattner-Institut25 Jahre HPI
Hasso-Plattner-Institut25 Jahre HPI
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Data Management for Digital Health (Wintersemester 2018/2019)

Dozent: Prof. Dr. Erwin Böttinger (Digital Health - Personalized Medicine) , Dr.-Ing. Matthieu-Patrick Schapranow (Digital Health - Personalized Medicine)
Website zum Kurs: https://hpi.de/digital-health-cluster/teaching/archive/winter-term-2018/19/data-management-for-digital-health.html

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 26.10.2018
  • Lehrform: Vorlesung / Übung
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch

Studiengänge, Modulgruppen & Module

IT-Systems Engineering MA
  • IT-Systems Engineering
    • HPI-ITSE-A Analyse
  • IT-Systems Engineering
    • HPI-ITSE-E Entwurf
  • IT-Systems Engineering
    • HPI-ITSE-K Konstruktion
  • IT-Systems Engineering
    • HPI-ITSE-M Maintenance
  • BPET: Business Process & Enterprise Technologies
    • HPI-BPET-K Konzepte und Methoden
  • BPET: Business Process & Enterprise Technologies
    • HPI-BPET-T Techniken und Werkzeuge
  • BPET: Business Process & Enterprise Technologies
    • HPI-BPET-S Spezialisierung
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-S Spezialisierung
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-K Konzepte und Methoden
  • OSIS: Operating Systems & Information Systems Technology
    • HPI-OSIS-T Techniken und Werkzeuge
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-T Techniken und Werkzeuge
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-K Konzepte und Methoden
  • SAMT: Software Architecture & Modeling Technology
    • HPI-SAMT-S Spezialisierung
Data Engineering MA
Digital Health MA

Beschreibung

NEW ROOMS! Thuesdays HS3 & Thursdays HS2

Welcome to the class: we are very excited that you are interested in learning more about the foundations data management for digital health. In this lecture, we will provide you concrete examples from the field of digital health to understand where and how data is acquired, what are the challenges with these specific types of data, and how to handle them.

More about the course

Leistungserfassung

Grading

The final grading will be determined by the following individual parts, while each part must be passed individually: 

  • Intermediate exercises during the lecture (all of them need to be passed)
  • Final exam

Termine

·  Tuesdays 11.00am - 12.30pm (s.t.)  HS3

·  Thursdays 11.00am - 12.30pm (s.t.) HS2

·  First course: Tue Oct 16, 2018 at 11.00am

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