Statistics in Connected Healthcare (Sommersemester 2021)

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

Allgemeine Information

Digital Health MA

SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-C Concepts and Methods
SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-C Concepts and Methods
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-T Technologies and Tools
DICR: Digitalization of Clinical and Research Processes
- HPI-DICR-S Specialization
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-C Concepts and Methods
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-T Technologies and Tools
APAD: Acquisition, Processing and Analysis of Health Data
- HPI-APAD-S Specialization

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

The final grade is composed of three equal parts:

Monday 13:30-15pm in HS 2 /zoom
Tuesday 15:15-16:45pm in HS 3 /zoom

Check for updates regarding format but we will start the class digitally

Coursematerial and recordings will be available via openHPI

First date/Introduction: 04/12/2021
Find here the link to our first zoom meeting