IS 635: Forschungs­methoden Data-Science

Contents
In this colloquium, student research projects in different phases of development will be presented and critically discussed and reflected upon together. Particular attention will be paid to the formulation of precise research questions, the development of robust experimental setups, the selection and pre-processing of data sets, the selection and design of different validation methods and the critical assessment of research results in a manner that clearly goes beyond the projects of individual students. In a participatory approach, students are introduced to the scientific approach and acquire initial knowledge of the presentation, assessment, criticism and further development of scientific plans and results.

Learning outcomes
After passing the colloquium, students are able to
1. present research projects, methods and results scientifically
2. scientifically assess and criticize research projects, methods and results
3. further develop research projects, methods and results
across various research cases and domains under the supervision of the instructor.

Necessary prerequisites
Registration of a Master Arbeit at the chair for Data-Science in den Wirtschafts- und Sozial­wissenschaften.

Recommended prerequisites
Current courses offered by the chair for Data-Science in den Wirtschafts- und Sozial­wissenschaften

Examiner Performing lecturer

Prof. Dr. Markus Strohmaier Prof. Dr. Markus Strohmaier