General Information
| Course Code | E_EDS2_DSPT |
|---|---|
| Credits | 6 EC |
| Period | P6 |
| Course Level | 200 |
| Language of Tuition | English |
| Faculty | School of Business and Economics |
| Course Coordinator | dr. A. Borowska |
| Examiner | dr. A. Borowska |
| Teaching Staff |
dr. A. Borowska |
|
Part of programme(s)
Bachelor
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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
Students learn how to translate their econometric and data science skills gathered throughout various courses of the program into solving a real-life case study. Students learn to efficiently work in a team to design and deliver a practical solution to a data science problem within a limited time frame, such as one may face in a business context.
Course Content
This course mainly consists of a case study that focuses on a specific method and data set. The students work in groups on the case study during the entire period of four weeks. Each week, meetings take place to discuss progress and technical issues.
Additional Information Teaching Methods
An introductory lecture takes place in the first week. Work meetings are arranged each week. Two additional lectures about academic writing and presentation skills take place during the first three weeks of the course. In the last week, each group presents their report in a meeting. After the presentation, each group delivers a final report.
Method of Assessment
Presentation and written report; there is no exam. The teacher will make a joint decision on the final course grade of each student based on the presentations, the written reports and peer-feedback submitted by the students. Students reports and presentations will also be assessed regarding academic writing and presentation skills.