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.