Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Wednesday | 10/02/24 | 02:00 PM - 06:00 PM | D2.0.038 |
| Wednesday | 10/09/24 | 02:00 PM - 06:00 PM | D2.0.038 |
| Wednesday | 10/16/24 | 02:00 PM - 06:00 PM | D2.0.038 |
| Wednesday | 10/23/24 | 02:00 PM - 06:00 PM | D1.1.074 |
| Wednesday | 10/30/24 | 02:00 PM - 06:00 PM | D2.0.038 |
| Wednesday | 11/06/24 | 02:00 PM - 06:00 PM | D2.0.038 |
This course aims to familiarize students with the scientific method and selected research methods. (see units for content)
While the content equips students with essential knowledge for developing and answering research questions, the primary objective is not to pinpoint a specific topic for their master's thesis.
After completing this course, students will understand the basics of
- structuring a research project incl. identifying and critically evaluating research gaps, research questions, and hypotheses
- extracting relevant information from literature incl. distinguishing different types of literature analyses
- critically evaluating research with regard to errors, biases, and ethical implications
- selected research methods, e.g. experiments
- exploratory data analysis
- writing up their own research
The rules on the attendance of a Continuous Assessment Course (PI) apply. See the dedicated page on the WU portal for further information.
Pursuant to the general guidelines issued by the Vice-Rector for Academic Programs and Student Affairs, the attendance requirement is met if a student is present at least 80% of the time.
Each course session will consist of a lecture introducing a specific topic and/or method and an exercise and discussion part. The lecture will be made available online prior to the session. Exercises and discussion are held mainly in group settings.
The final grade will be composed of:
- (25%) an assignment on the basics of the research process
- (25%) an assignment on research quality
- (25%) an assignment on causal inference, experiments, and game theory
- (25%) an assignment on design science and exploratory data analysis / KDD
The policies for the use of AI will be provided in the instructions for every assignment individually.
Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.
AI tools may be used for literature search and grammar checking in this course. However, generating text for assignment output with AI is not allowed. If AI use for assignments is suspected, interviews will be conducted to verify individual work. Responsibility for the factuality and quality of content lies with the students.
Back