Data Science Project

2019-2020

Course Objective

The student learns how to translate their econometric, data science and
numerical skills in solving real-life econometric and data problems, and
in developing practical solutions, by working together within a team.
Given the limited number of weeks available for the work on this
project, students also learn how to work efficiently, in an organised
way.

Course Content

This course mainly consists of a Case Study that focuses on a specific
method and data set. A number of cases are prepared, all covering
subjects related to econometrics and data science. The students can work
in groups. A group selects a particular case and works on this case
during the entire period of four weeks. Each week, meetings are arranged
to discuss progress and technical issues.

Teaching Methods

An introductory lecture takes place in the first week. Work meetings are
arranged each week. In the last week, each group presents their report
in a meeting where all students are present; also the final report needs
to be delivered.

Method of Assessment

Presentation of report and written report; there is no exam. Teacher and
co-reader will attend presentation, read the reports and make a joint
decision on the grade.

General Information

Course Code E_EOR2_DSPT
Credits 6 EC
Period P6
Course Level 200
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator prof. dr. S.J. Koopman
Examiner prof. dr. S.J. Koopman
Teaching Staff dr. F.D. Bijleveld
dr. K.M.R. Boudt
prof. dr. J.J.F. Commandeur
prof. dr. S.J. Koopman

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Study Group, Lecture
Target audiences

This course is also available as: