Kies de Nederlandse taal
Course module: 201300074
Research Experiments in Databases and Information Retrieval
Course info
Course module201300074
Credits (ECTS)5
Course typeCourse
Language of instructionEnglish
Contact M. van Keulen
dr. F.A. Bukhsh
Examiner M. van Keulen
Contactperson for the course M. van Keulen
M. Nauta
dr. E. Talavera Martínez
Academic year2022
Starting block
RemarksThe maximum of student who can register for the course is 24.
Application procedureYou apply via OSIRIS Student
Registration using OSIRISYes
Upon successful completion of the course, the students are able to:
  • Set up and execute their own research in the field of Data Science & Artificial Intelligence using a proper research method involving experiments.
  • Report verbally about their research to other researchers.
  • Write a research paper on their research contribution good enough to be included in the CTIT Technical Reports Series.
+ (in the process) students deepen their knowledge of a particular area in the fields of Databases and/or Information Retrieval.
The course REDI is meant as a follow-up for other courses in the field of Data Science & Artificial Intelligence. In such courses, the required knowledge about the research field has been studied. In REDI, the student will do a research project, which can be either empirical research or the design of an algorithm or system that is experimentally validated. The goal of this course is to obtain experience in doing research, especially in formulating research questions, conducting experiments, communicating about them verbally and in writing, positioning this in existing literature, and to deepen the knowledge about the research field.

The student will need to set up and conduct an entire research project and communicate these findings with presentations and a research paper. The research will be conducted alone or in pairs. There are several sessions during the quartile: one to explain the possible project assignments and the organization of the course, one or two to explain in more detail how to set up, conduct and write about experimental research, and two sessions for the groups to present their project to the other students (halfway and at the end).

Every year, a theme is chosen for a coherent set of project assignments. In 2022/2023, the theme is “Trustworthy DS&AI” meaning applying, improving or proposing methods and techniques for trustworthiness of DS&AI technology, such as methods for explainable AI, detection techniques for bias, but also, for example, applying explainable AI techniques to study what they can offer, etc.
All the research projects contribute to the ongoing research of EEMCS research groups.

The number of participants in this course is limited. Signing up is handled on a first-come, first-served basis.

Besides a grade for the course, the student(s) also receive a review on their research paper as if it was sent to a scientific workshop. Although this review will have no (direct) influence on the grade, it will give an indication of the quality of the paper and how far one is from being able to participate in the international research community. Some papers may be selected for submission to an international venue outside the scope of the course.
Assumed previous knowledge
To follow the course in a useful way, the student should have knowledge of the structure and functions of databases or search technology. This is covered in one or more master courses with a Database and/or Artificial Intelligence topic.
Participating study
Master Computer Science
Participating study
Master Interaction Technology
Required materials
Recommended materials
Instructional modes

Presence dutyYes

Project supervised

Project unsupervised

Assignments, Presentation

Kies de Nederlandse taal