Syllabus

Title
2296 Master`s Thesis Seminar (Group B)
Instructors
Dr. Giovanni Andreottola
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/27/22 to 09/29/22
Registration via LPIS
Notes to the course
This class is only offered in winter semesters.
Subject(s) Master Programs
Dates
Day Date Time Room
Thursday 10/06/22 08:30 AM - 02:30 PM TC.3.08
Thursday 10/13/22 08:30 AM - 01:30 PM TC.5.28
Thursday 10/20/22 09:00 AM - 02:00 PM TC.4.16
Thursday 11/03/22 08:00 AM - 02:00 PM TC.5.28
Thursday 11/10/22 11:00 AM - 04:30 PM D5.1.001
Wednesday 11/16/22 09:30 AM - 11:30 AM TC.5.01
Contents

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

Learning outcomes

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. Simple attendance is a basic requirement for continuous assessment courses and does not constitute a performance component. 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. Students who fail to meet the attendance requirement have to be de-registered from the continuous assessment course as quickly as possible (with a “fail” grade or ungraded). Absences must not be considered in the calculation of students’ grades, as long as they fulfill the basic attendance requirement. However, absences may have indirect effects on the grades achieved.

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

Last edited: 2022-08-28



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