The meetings take place on site.
Masterclass: Crafting Valuable Ideas in Information Systems and Management
M.WIWI-WIN.0043
Lecturer:
Prof. Dr. Martin Adam
Contact Person:
Jon Gorlo, M.Sc.
(
jon.gorlo@uni-goettingen.de
)
Type of Course:
Seminar + Excercise
Term:
Every winter term, except winter term 26/27
Target Group:
Business informatics, management and related courses (e.g. psychology)
Language:
Slides in English, German as the main language of communication
Recommended prior knowledge:
none
Admission requirements:
none
Examination performance:
Credits:
6
Contents:
The course is designed to give you the skills to develop your own useful and insightful ideas and to
present and articulate them persuasively. On the whole, it can be a transformative experience in terms of
what you think about an idea, how others perceive your idea and how you deal with the challenges
associated with it. Ultimately, you can use the insights for a follow-up project in your professional and
personal life (e.g. research proposal, master's thesis, project pitching).
The weekly exercises are supported by research-oriented assignments in which you will learn about and
independently apply phenomenon-based approaches to develop your own ideas in the form of research
objectives, questions and contributions. These research findings are applied to practical examples.
Collecting and analyzing empirical data is not a direct part of the course (this will be dealt with in
another seminar or a final thesis). You will exchange, discuss and review ideas in small groups in order
to reflect on and promote your individual learning process.
Overall, the course gives you the opportunity to develop a better understanding of what it takes to come
up with valuable ideas - particularly in the areas of information systems and management. Using
foundational papers and editorials in the respective disciplines, you will learn to ask the right
questions and look for the right answers when tackling projects - so you don't waste valuable resources
unnecessarily.
Learning Objectives:
After the course, participants will be able to
The weekly exercises are supported by research-oriented tasks in which you will learn and independently
apply phenomenon-oriented approaches to develop your own ideas in the form of research objectives,
questions and contributions.
These findings from research are transferred to practical examples. Collecting and analyzing empirical
data is not a direct part of the course (this will be dealt with in another seminar or in a final thesis).
You will share, discuss and review ideas in small groups to reflect and enhance your individual learning
process.
Topics of the lecture:
We read and discuss
Topics of the exercise:
Introduction or recapitulation of the basics of the statistical software R and other data analysis tools
General information:
The meetings take place at irregular intervals during the semester. The specific dates will be announced
in advance in Stud.IP.
The meetings are interactive and discussion-oriented. Regular attendance is therefore required. Further
information on participation will be communicated via Stud.IP and in the kick-off.
Winter Term 2027/28
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