Courses Master Display 2023-2024

Course Description To PDF
Course title Computational Research Skills (Research Master)
Course code EBS4044
ECTS credits 4,0
Assessment Pass / Fail
Period Start End Mon Tue Wed Thu Fri
S1 4-9-2023 26-1-2024 C
Level Advanced
Coordinator Stephan Smeekes
For more information:
Language of instruction English
The objective of the skills training is to prepare you for a research master thesis involving computational methods by obtaining computational and academic writing skills, as well as becoming familiar with computational research topics.

After having completed the skills training you are able to:
* Conceptualize a specific problem into algorithmic instructions (‘pseudo-code’);
* Implement such pseudo-code in a programming language;
* Use computational tools such as simulation methods for investigating a research question;
* Write academic reports about a computational study;
* Have a clear view on computationally oriented research topics;
* Formulate concrete research questions that you might investigate in your master thesis;
* Motivate and give context to your research question using appropriate academic literature;
* Write a research proposal focused on a computational topic.
The skills focuses on two key elements. The first is to learn the computational and academic writing skills needed for doing research on computational topics (for example in your master thesis). The second is to explore computational research topics. For the computational part, there will be attention to all the different directions related to Econometrics & Operations Research, such that every student can focus on the elements most useful to their interests. In a series of sessions, supported by online materials, we treat how to conceptualize a specific problem into algorithmic instructions (‘pseudo-code’), how to implement these instructions in a programming language, and how to write academically about such an implementation. There will be a focus on simulation methods that have widescale applicability to address a broad range of research questions for a master thesis involving computational methods.

The second key element is to explore research topics and developing them into a research proposal. This will be done through literature and self-study.
A selection of (survey) articles on the specific techniques considered and manuals on software used (all will be distributed via the course website).
Quantitative background corresponding to students in the master in econometrics and operations research or research master programme.
Teaching methods (indicative; course manual is definitive) PBL / Lecture / Assignment / Groupwork / Coaching
Assessment methods (indicative; course manual is definitive) Final Paper / Assignment
Evaluation in previous academic year For the complete evaluation of this course please click "here"
This course belongs to the following programmes / specialisations
Master Business Research - Operations Research Year 1 Compulsory Skill(s)
Master Economic and Financial Research - Econometrics Year 1 Compulsory Skill(s)
Master Economic and Financial Research - No specialisation Year 1 Elective Skill(s)