Algemene informatie
| Vakcode | E_MFRM_BRE |
|---|---|
| Studiepunten | 6 EC |
| Periode | P3 |
| Vakniveau | 300 |
| Onderwijstaal | Engels |
| Faculteit | School of Business and Economics |
| Vakcoördinator | dr. G. Tumer-Alkan |
| Examinator | dr. G. Tumer-Alkan |
| Docenten |
dr. G. Tumer-Alkan |
|
Onderdeel van opleiding(en)
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Praktische informatie
Voor dit vak moet je zelf intekenen. De inteken- en afmeldtermijnen staan op VU.nl
| Onderwijsvorm | Werkgroep, Hoorcollege |
|---|
Doelgroepen
Dit vak is ook toegankelijk als:
Doel vak
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.
Inhoud vak
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.
Aanvullende informatie onderwijsvormen
One kick-off session, student work-groups, guidance from the supervisors, and final presentation by each group.
Toetsvorm
Written report and presentation.Vereiste voorkennis
To have followed the courses in period 1 of the Minor Risk Management programme.
Literatuur
Depending on the case, a selection of articles.
Aanvullende informatie doelgroep
Students of the minor Risk Management for Financial Institutions.
Aanbevolen voorkennis
A basic course in quantitative methods and/or statistics.