Supply Chain Data Analytics

Dit vak wordt in het Engels aangeboden. Omschrijvingen kunnen daardoor mogelijk alleen in het Engels worden weergegeven.

Doel vak

The course focuses on:
1) Processing and analyzing datasets relevant for TSCM by using the
software tool R.
2) Describing research results and drawing managerial conclusions.
3) Analyze, formulate and solve data analytics problems.
4) Apply and compare well-known data analytics methods from the
5) Analyze real-life case studies by using the knowledge acquired
throughout the course.
6) Provide and defend managerially relevant recommendations to decision

Inhoud vak

Supply Chain Data Analytics is focused on furnishing you with
methodological and technical skills to conduct data driven research in
academic and industry projects in the TSCM domain. The main topics of
the course are time series forecasting, regression, classification and
clustering. The software tool R will be used to process and analyze the
data sets.




Computer exam entry requirements R - Individual assessment
Written exam - Individual assessment
Assignment - Group assessment

Vereiste voorkennis

Basic knowledge of statistics (descriptive statistics, correlation, and
regression) and R is required. If you do not have experience with R make
sure to learn the basics (installing classes, syntax, data types,
importing data and descriptive statistics) of R before the start of this


Shmueli, G., & Lichtendahl, K. C. (2016). Practical Time Series
Forecasting with R: A Hands-On Guide. Axelrod Schnall Publishers (Second
Additional material will be provided via Canvas.


This is a course for TSCM students only; non-TSCM students (including
exchange students) cannot take this course unless explicit approval is
obtained from the course coordinator beforehand.

Algemene informatie

Vakcode E_BA_SCDA
Studiepunten 6 EC
Periode P1
Vakniveau 400
Onderwijstaal Engels
Faculteit School of Business and Economics
Vakco√∂rdinator dr. D.D. Tönissen
Examinator dr. D.D. Tönissen

Praktische informatie

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