Supply Chain Data Analytics

2019-2020

Course Objective

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
literature.
5) Analyze real-life case studies by using the knowledge acquired
throughout the course.
6) Provide and defend managerially relevant recommendations to decision
makers.

Course Content

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.

Teaching Methods

Lectures
Tutorials

Method of Assessment

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

Entry Requirements

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
course.

Literature

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

Target Audience

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.

General Information

Course Code E_BA_SCDA
Credits 6 EC
Period P1
Course Level 400
Language of Tuition English
Faculty School of Business and Economics
Course Coordinator dr. D.D. Tönissen
Examiner dr. D.D. Tönissen
Teaching Staff

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: