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

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

General Information

  • Weekly Hours: 4
  • Credits: 6
  • Graded: yes
  • Enrolment Deadline: 01.04.2019 bis 26.04.2019
  • Teaching Form: Lecture / Seminar
  • Enrolment Type: Compulsory Elective Module
  • Course Language: English

Programs & Modules

Digital Health MA
Data Engineering MA
IT-Systems Engineering MA
  • OSIS-Konzepte und Methoden
  • OSIS-Techniken und Werkzeuge
  • ITSE-Analyse

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

Examination

  • 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.

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