Project Optimization of Business Processes


Course Objective

Acquiring skills and experience necessary for building decision support
systems, and learning to apply relevant scientific knowledge.
Specifically, during the course you will:
- select the appropriate scientific method(s) for the problem at hand
- implement and validate the scientific methods chosen
- build a user-friendly interface for potential users in the field
The programming language will be decided upon with your supervisor.
Common programming languages used during the project are Python, R, and

Course Content

Project optimization of business processes concerns the construction
and/or design of (part of) a decision support system (DSS) that:
- is designed and built in a scientifically sound way;
- can be used in practice.
The DSS is built in groups of students.

Teaching Methods


Method of Assessment

Grading for scientific quality, applicability, and verification of DSS,
the project
plan, and final report. Individual grade for participation in group
based on observed participation and a short written or oral exam.
There is no resit. If the DSS and report are of sufficient quality, but
the individual contribution is insufficient by a small margin (max 1.0
pt), the student get the opportunity to hand in an additional assignment
to obtain a sufficient grade.



Target Audience

mBA, mBA-D

Additional Information

Important note: you are expected to attend the kick-off meeting. If (due
to circumstances) you are not able to attend this meeting, you should
notify the lecturer well in advance. Failing to do so may exclude you
this course.

Recommended background knowledge

Applied Stochastic Modeling (X_400392).

General Information

Course Code X_400213
Credits 6 EC
Period P3
Course Level 500
Language of Tuition English
Faculty Faculty of Science
Course Coordinator dr. R. Bekker
Examiner prof. dr. G.M. Koole
Teaching Staff

Practical Information

You need to register for this course yourself

Last-minute registration is available for this course.

Teaching Methods Lecture, Practical
Target audiences

This course is also available as: