General Information
| Course Code | E_MFRM_BRE |
|---|---|
| Credits | 6 EC |
| Period | P3 |
| Course Level | 300 |
| Language of Tuition | English |
| Faculty | School of Business and Economics |
| Course Coordinator | dr. G. Tumer-Alkan |
| Examiner | dr. G. Tumer-Alkan |
| Teaching Staff |
dr. G. Tumer-Alkan |
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Part of programme(s)
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Practical Information
You need to register for this course yourself. The (de)registration deadlines can be found on VU.nl
| Teaching Methods | Study Group, Lecture |
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Target audiences
This course is also available as:
Course Objective
By the end of this course, students will be able to:
- Conduct empirical risk research in teams.
- Apply theories and methods from previous Risk Management courses to practical research problems.
- Analyze and model empirical questions using appropriate tools and techniques.
- Communicate findings clearly in a structured written report and a concise oral presentation.
Students will demonstrate these skills through hands-on group work, supported by academic supervision and practical research tools.
Course Content
This course bridges academic theory and professional practice by engaging students in real-world risk-related cases. Key topics include empirical research design, scenario analysis, and risk modeling, reflecting challenges faced by financial institutions.
Students apply knowledge from the Minor courses to investigate practical questions, using scientific methods and tools. The course emphasizes critical thinking, data analysis, and effective communication of research findings in both written and oral formats.
Additional Information Teaching Methods
One kick-off session, student work-groups, guidance from the supervisors, and final presentation by each group.
Method of Assessment
Written report and presentation.Entry Requirements
To have followed the courses in period 1 of the Minor Risk Management programme.
Literature
Depending on the case, a selection of articles.
Additional Information Target Audience
Students of the minor Risk Management for Financial Institutions.
Recommended background knowledge
A basic course in quantitative methods and/or statistics.