Teaching
The staff of the Decision-Support Systems (DSS) group is involved in educational activities in the curriculum of the
Computing Science bachelor. The DSS group is co-responsible for the
curriculum of the MSc programme
Applied Computing Science, together with the
Algorithmic Systems and the
Algorithmic Data Analysis
groups. The DSS group also contributes to the statistics course in the master programme
Business Informatics.
Experimentation and graduation
projects offered by the DSS group to students of this M.Sc. programme
are closely tied to the research conducted within the group. The group roughly pursues two research themes: probabilistic networks and evolutionary computation.
Graduate courses
Experimentation projects
The goal is to carry out a small, individual project in algorithmic
modelling and design on an interesting research problem from theory or
practice, in order to let students learn how to set up and carry out
algorithmic experiments, and how to evaluate and report the results.
Experimental research requires a methodological approach: research
goals and hypotheses need to be defined unambiguously, experiments need
to be designed in a goal-oriented way, experimental results should be
statistically significant, and conclusions must be well-justified.
MSc Graduation projects
The last nine months of the ACS programme are reserved for a graduation project of 45 ECTS.
- The project can be carried out internally, but may also be done in an external research lab or in a company.
- A staff-member from the DSS group is daily supervisor and examiner of the project.
- A senior staff-member from the DSS group is co-supervisor and examiner of the project.
Graduation projects can be formulated on virtually all our research
topics and can be specifically tailored to a student's interests.