Department of Information and Computing Sciences

Departement Informatica Onderwijs
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Advanced research methods

Course code:INFOARM
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 9-11-2020 through 5-2-2021; retake week 16)
Participants:up till now 59 subscriptions
Schedule:Official schedule representation can be found in MyTimetable
lecture          Jens Gulden
tutorial group 1        Bilgeça? Aydo?du
group 2        #ISPM
Mehrad Abdollahi
Contents:Research is curiosity-driven; it is about studying phenomena while becoming the creator of novel inventions. The Advanced Research Methods (ARM) course provides the opportunity to make one’s own experiences with research in the framework of the Master in Business Informatics program. The research methods prevalent in the field of information science (quantitative, qualitative, and design science) are taught. Based on the knowledge in this course and related courses, students can make a well-founded choice for their graduation research, and professional career. The course consists of a combination of lectures, tutorials, coaching sessions with the teachers, one research assignment, and one exam. The course contents cover the following themes:

Theme 1: Empirical research methods

For the ARM course, the students discuss a set of empirical research methods to support treatment validation tasks. The main focus of this theme is on sample-based experiments. In addition, the students are instructed on the main aspects of scientific integrity and research presentation.

The contents for this theme are:

  • A road map of research methods: Experiments (sample-based and case-based), technical and canonical action research, observational case study research, Systematic Literature Review (SLR)
  • Ethics in research
  • Presentation and Publication

Theme 2: Design Science

Design Science is the design and investigation of artefacts in context. Design Science describes a research method for information systems and software engineering. It provides guidelines on how to structure research goals and analyse research problems into design goals and knowledge questions. For the ARM course, the students dive into the design or engineering and empirical cycles.

The contents for this theme are:

  • A framework for Design Science
  • The Design Cycle
  • The Empirical Cycle

Theme 3: Inferential statistics

For this theme, the students are instructed with advanced inferential statistics for the data analysis.

The contents for this theme are:

  • Statistics fundamentals
  • Data analysis and the empirical cycle
  • Advanced statistical tests
Minimum effort to qualify for 2nd chance exam:To be able to do the retake, the original grade must at least be 4.0.