Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI

Statistics in Connected Healthcare (Sommersemester 2020)

Lecturer: Prof. Dr. Bert Arnrich (Digital Health - Connected Healthcare)

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 06.04.2020-22.04.2020
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English

Programs & Modules

Digital Health MA
Data Engineering MA
Cybersecurity MA
  • SECA-Konzepte und Methoden
  • SECA-Techniken und Werkzeuge
  • SECA-Spezialisierung


  • This course introduces basic concepts of statistical data analysis and their practical application in mobile computing.
  • The course covers the entire range of statistical data analysis. Topics include how to design an empirical data collection in a statistical valid way, how to collect data from daily life with the help of mobile computing, and how to achieve statistical test results.
  • Lessons learned will be applied in practice by conducting empirical experiments with mobile phones.
  • There are no special requirements to attend this lecture since all needed background knowledge is provided within the course.
  • Please find more detailed information from here


  • Design and conduct a data collection experiment with mobile phones.
  • Perform statistical data analysis of the collected data.
  • Write a technical report about your experimental study and present it in the lecture.


Monday 13:30-15pm
Tuesday 15:15-16:45pm

in HS2 (check for updates regarding start of the course and format)

Coursematerial and recordings (tele-task) will be available via openHPI
First date/Introduction: 20.04.2020