Statistics in Connected Healthcare

This course introduces basic concepts of statistical data analysis and their practical application in Mobile Computing and Connected Healthcare.

Due to the Corona pandemic this course will be held in a digital format. Lecture materials (handout, video, etc.) will be provided in advance of the official lecture time on Monday. The tutorial will be held every Tuesday at 3.15pm via Zoom.

Lecture: Monday 1.30pm - 3.00pm

Tutorial: Tuesday 3.15pm - 4.45pm

Self-paced since September 30, 2020
Language: English

Course information

  • 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.

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The course is free. Just register for an account on openHPI and take the course!
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Learners

Current
Today
46
Course End
Sep 30, 2020
34
Course Start
Apr 20, 2020
10

This course is offered by

Prof. Dr. Bert Arnrich

Prof. Dr.-Ing. Bert Arnrich is Professor for Digital Health – Connected Healthcare at the Digital Health Center of the Hasso Plattner Institute.    His research on ubiquitous sensing and computing technologies is directed towards paving the way for transforming healthcare systems from purely managing illness to maintaining wellness everywhere, anytime and for anyone.  He has been a PI in several European and national projects.  He has co-authored over 120 refereed research publications.    He studied "Informatics in the Natural Sciences" and received the PhD degree Dr.-Ing. for the thesis "Data Mart Based Research in Heart Surgery" from Bielefeld University in 2006. He established and headed the research group Pervasive Healthcare in the Wearable Computing Laboratory at ETH Zurich between 2006 and 2013.  He received an EU FP7 Marie Curie Cofound Fellowship in 2013 and was appointed to tenure track professorship at the Computer Engineering Department at Bosporus University until 2017.  Between 2017 and 2018 he worked as a Science Manager for Emerging Technologies at Accenture Technology Solutions. 

Berry Boessenkool

Berry Boessenkool has been teaching R courses in various formats since 2012. He is a freelance R trainer and consultant and works part-time as a lecturer at HPI. His passion for programming was sparked in his studies of geoecology and the analysis of environmental data is still close to his heart.