Hasso-Plattner-Institut20 Jahre HPI
Hasso-Plattner-Institut20 Jahre HPI
  
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Statistics in mobile Computing (Sommersemester 2019)

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

Allgemeine Information

  • Semesterwochenstunden: 4
  • ECTS: 6
  • Benotet: Ja
  • Einschreibefrist: 01.04.2019 bis 26.04.2019
  • Lehrform: Vorlesung / Seminar
  • Belegungsart: Wahlpflichtmodul
  • Lehrsprache: Englisch

Studiengänge & Module

Digital Health MA
  • 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 Engineering MA
IT-Systems Engineering MA

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.

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.

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