Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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Statistics in Connected Healthcare (Sommersemester 2023)

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

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.04.2023 - 07.05.2023
  • Examination time §9 (4) BAMA-O: 24.07.2023
  • Teaching Form: Lecture / Exercise
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English

Programs, Module Groups & Modules

Digital Health MA
Data Engineering MA
  • DANA: Data Analytics
    • HPI-DANA-K Konzepte und Methoden
  • DANA: Data Analytics
    • HPI-DANA-T Techniken und Werkzeuge
  • DANA: Data Analytics
    • HPI-DANA-S Spezialisierung
  • CODS: Complex Data Systems
    • HPI-CODS-K Konzepte und Methoden
  • CODS: Complex Data Systems
    • HPI-CODS-T Techniken und Werkzeuge
  • CODS: Complex Data Systems
    • HPI-CODS-S Spezialisierung
Software Systems Engineering MA

Description

  • 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

Examination

The final grade is composed of three equal parts:

  • Experimental data collection and data analysis: 1/3
  • Technical report: 1/3
  • Presentation: 1/3

Dates

Mondays 13:30pm &
Tuesdays 9:15-10:45am
in G2.U10/14

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