Statistics in Connected Healthcare (Sommersemester 2022)
Lecturer:
Prof. Dr. Bert Arnrich
(Digital Health - Connected Healthcare)
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.04.2022 - 30.04.2022
- Examination time §9 (4) BAMA-O: 25.07.2022
- Teaching Form: Lecture / Exercise
- Enrolment Type: Compulsory Elective Module
- Course Language: English
Programs, Module Groups & Modules
- 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: Data Analytics
- HPI-DATA-K Konzepte und Methoden
- DATA: Data Analytics
- HPI-DATA-T Techniken und Werkzeuge
- DATA: Data Analytics
- HPI-DATA-S Spezialisierung
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
Note: First Session on Monday, 04/25/2022
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
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
Zurück
