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:

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




  • name and understand

    • which widespread perceptions of well-being are not compatible with scientific research and should therefore not be pursued if you want to become happier in the long term

    • which psychological effects (e.g. human biases and tendencies) lead to these everyday (false) perceptions what strategies help to counteract these tendencies what goals should actually be pursued in order to become scientifically proven happier (in particular human biases and tendencies) lead to these everyday (false) perceptions

    • what strategies help to counteract these tendencies

    • what goals should actually be pursued in order to become scientifically proven happier (in particular the role of technology in influencing one's own well-being

    • how these new goals and the associated behavioral changes can be integrated into everyday life and lived, in order to positively change behavior in the long term and thus achieve greater well-being

    • how these changes can be empirically measured and proven with the help of basic statistics (especially with the help of data analytics)

    • what topics and trends research (especially business informatics) and global players (such as SAP, Google and McKinsey) are currently working on and will work on in the future to increase the well-being of individuals





  • apply and (empirically) analyze how scientifically recognized and application-related findings from interdisciplinary topics (including business informatics and psychology) can be integrated into private and professional life in order to increase and maintain your well-being in the long term
  • develop a personally and professionally more accurate and harmonious self-image based on action-oriented insights from business and science, which will help you to better reflect on and assess the individual and social responsibility of your decisions
  • gain a more positive attitude towards life in order to be able to use your potential and the skills you have acquired over the years (“hard skills”) in your private and professional life in a scientifically sound and sustainable way







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
  • Strategies to mitigate these annoying tendencies
  • Introduction of new perceptions that actually lead to better well-being according to science and practice

  • 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:


  • Introduction or recapitulation of the basics of the statistical software R and other data analysis tools
  • Introduction or recapitulation of the basics of statistics
  • Application of the findings to sample data sets
  • Application of the findings to own examples
  • Reflection on your own application









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