Hasso-Plattner-Institut
HPI Digital Health Center
  
 

Data Management for Digital Health

General Information

Instructions to join the online lecture:

Please test the tool once before the first course in case you need to install a plugin or configure your local browser. Do not hesitate to contact anyone of us in advance, if you have any questions or encounter any issues when joining the seminar.

News

  • Fri Sep 25, 2020: Initial version of the lecture web page published. 

Slides

Slides will be available in a timely mannerg after the corresponding lecture.

Lecture

  • no slides available, yet.

How-To & Exercises

  • no slides available, yet.

 

Scope of the lecture

Welcome to the online class: we are very excited that you are interested in learning more about the foundations data management for digital health. A very relevant topic not only in times of worldwide COVID-19 pandemic. In this lecture, we will provide you specific 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 with latest technology advances. We will link to latest worldwide developments in fighting the COVID-19 pandemics and provide you with a better understanding of the latest decisions and developments, where applicable. 

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

  • assess requirements of selected real-world use cases from the medical field,
  • select latest technology building blocks to create viable healthcare software solutions, and
  • analyze requirements for data analysis and processing, e.g. for machine learning.

In the course, we will have invited guest speakers sharing their real-world experience with you in a brief presentation. You will also have the chance to raise your questions and discuss with them in the course of the lecture.

Further details about the structure of the lecture will be shared in the first course of the lecture with you.
We are looking forward to e-meet you soon. 

Grading

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

  • Intermediate exercises during the lecture whilst all of them need to be passed, and
  • Final exam.