Hasso-Plattner-Institut
Prof. Dr.-Ing. Bert Arnrich
  
 

Teaching

Fundamentals of Programming (Winter Term 2019/2020)

  • Introduces basic concepts of programming with the R programming language.
  • Course topics include an introduction into basic data structures (vector, matrix, lists, data frames, etc.), program control statements (conditional execution, for and while loops, etc.), data visualization and input/output.

Examination

  • Weekly quiz
  • Midterm exam
  • Final exam

Connected Healthcare (Summer Term 2019)

  • This lecture provides an introduction into Connected Healthcare: paving the way for a user-centered and preventive healthcare model with the help of ubiquitous sensing and computing technologies
  • Methods include wearable and ambient sensor data processing, basic statistical methods and relevant methods from machine learning and data mining.
  • Applications include physiological signal processing, social signal processing, affective computing, context-aware computing and Internet-of-Health-Things.
  • There are no special requirements to attend this lecture since all needed background knowledge is provided within the courses.

Course Material

Please find all course material on openHPI.

Examination

  • Write a research proposal which targets a specific problem that can benefit from Connected Healthcare.
  • Conduct a feasibility study which covers certain aspects of your proposal.
  • Present your proposal and the feasibility study in the lecture.

Statistics in mobile Computing (Summer Term 2019)

  • 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.

Course Material

Please find all course material on openHPI.

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.