Statistics in Connected Healthcare (Sommersemester 2022)

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

Data Engineering MA

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

Note: First Session on Monday, 04/25/2022

The final grade is composed of three equal parts:

Schedule

Monday 1:30-3pm
Tuesday 11am-12:30pm

Building/Room G2.U.10-14 (Campus III, DHC Poolroom (Basement))

Coursematerial and recordings will be available via openHPI

First date/Introduction: Monday, 04/25/2022

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