Syllabus

Title
1958 Master`s Thesis Seminar (Group A)
Instructors
Dr. Amin Anjomshoaa, Gergely Hajdu, Ph.D., Dejan Tatic, MSc., Dr. Melanie Clegg, Shahrom Hosseini Sohi, MSc.
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/18/23 to 09/21/23
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Subject(s) Master Programs
Dates
Day Date Time Room
Wednesday 10/04/23 09:00 AM - 01:00 PM D2.0.030
Wednesday 10/11/23 09:00 AM - 01:00 PM D2.0.030
Wednesday 10/18/23 09:00 AM - 01:00 PM D2.0.030
Wednesday 10/25/23 09:00 AM - 01:00 PM D2.0.030
Wednesday 11/08/23 09:00 AM - 01:00 PM D2.0.030
Wednesday 11/15/23 09:00 AM - 01:00 PM D2.0.030
Contents

This course aims to familiarize students with the scientific method and selected research methods. (see units for content)

Learning outcomes

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

Attendance requirements

The rules on the attendance of a Continuous Assessment Course (PI) apply. See the dedicated page on the WU portal for further information.

Teaching/learning method(s)

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.

Assessment

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.

Readings

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.

Last edited: 2023-09-18



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