Course ObjectiveThe 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
Course ContentThis 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 MethodsAn 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 AssessmentPresentation 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.
|Language of Tuition||English|
|Faculty||School of Business and Economics|
|Course Coordinator||prof. dr. S.J. Koopman|
|Examiner||prof. dr. S.J. Koopman|
dr. F.D. Bijleveld
dr. K.M.R. Boudt
prof. dr. J.J.F. Commandeur
prof. dr. S.J. Koopman
You need to register for this course yourself
Last-minute registration is available for this course.
|Teaching Methods||Study Group, Lecture|
This course is also available as: