Hasso-Plattner-InstitutSDG am HPI
Hasso-Plattner-InstitutDSG am HPI
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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

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-S 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

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

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