In this application-oriented course, you will take part in a series of weekly challenges aimed at demonstrably increasing your own (subjective) well-being and developing more productive habits using IT. These challenges are supported by weekly exercises in which you will learn the important and application-oriented methods for empirical analyses (e.g. data analytics) and apply them independently. In addition, you will share your experiences from the course in small groups in order to reflect on and promote your individual learning process in teamwork. Overall, the course aims to offer you the opportunity to develop into a happier person based on scientifically recognized methods, so that you can better and more sustainably use and live out your potential and the skills you have acquired over the years ("hard skills") in your private and professional life. After the course, students will be able to
Increasing Well-Being with AI and Data Analytics
Type of Course:
Lecture + Exercise
Term:
Every summer term
Target Group:
Students of business informatics, economics and related disciplines (e.g. psychology)
Language:
Slides in English, German mainly for the other language of communication
Recommended prior knowledge:
Basic knowledge of statistics and the statistical software R is recommended, but not essential
Admission requirements:
none
Examination performance:
Weekly challenges/tasks;
Preparation, implementation and evaluation of a multi-week, technology-
based activity to increase personal wellbeing
Credits:
6
Learning Objectives:
name and understand
Contents of the lecture:
Compare widespread perceptions of well-being with findings from scientific research and finally refute them
Present theories and concepts of interdisciplinary research in business informatics and related fields and explain which disturbing tendencies of human perception (i.e. prejudices) lead to these perceptions
Presentation of scientifically recognized methods for integrating these new perceptions into one's own life and maintaining them in the long term
Contents of the exercise:
General information:
The lectures are mainly offered in presence, the exercises mainly via live stream.
Digital recordings of all lectures and exercises will also be made available online via StudIP at.
In addition, the course is interactive (especially weekly challenges), which require regular participation. Further information regarding participation in this interactive course will be communicated via online
channels or in the kick-off.
Summer Term 2025
Kick-off
Date: 15.04.2025
Time: Tuesday 14:00 - 16:00 c.t.
Room: ZHG003 (ZHG) (Campus Map)
Lecture
Time: Thursday 10:00 - 12:00 c.t.
Room: Zoom
Excercise
Time: tbd
Room: tbd