Statistics in Connected Healthcare (Sommersemester 2020)
Dozent:
Prof. Dr. Bert Arnrich
(Digital Health - Connected Healthcare)
Allgemeine Information
- Semesterwochenstunden: 4
- ECTS: 6
- Benotet:
Ja
- Einschreibefrist: 06.04.2020-22.04.2020
- Lehrform: Vorlesung / Übung
- Belegungsart: Wahlpflichtmodul
- Lehrsprache: Englisch
Studiengänge & Module
- SCAD-Concepts and Methods
- SCAD-Technologies and Tools
- SCAD-Specialization
- DICR-Concepts and Methods
- DICR-Technologies and Tools
- DICR-Specialization
- APAD-Concepts and Methods
- APAD-Technologies and Tools
- APAD-Specialization
- DATA-Konzepte und Methoden
- DATA-Techniken und Werkzeuge
- DATA-Spezialisierung
- SECA-Konzepte und Methoden
- SECA-Techniken und Werkzeuge
- SECA-Spezialisierung
Beschreibung
- 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
Leistungserfassung
- 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.
Termine
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
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