EDUCATION DIRECTORY
PÅ SVENSKA
Malmö University

Course syllabus

Spring 2026

Course syllabus, Spring 2026

Title

Research Methods in Computer Science

Swedish title

Forskningmetodik i datavetenskap

Course code

DA333B

Credits

7.5 credits

Grading scale

UV / Fail (U), Pass (G) or Pass with Distinction (VG)

Language of instruction

The course is provided in Swedish and English

Decision-making body

Faculty of Technology and Society

Syllabus valid from

2026-01-19

Establishment date

2025-05-06

Syllabus approval date

2025-06-18

Level

Bachelor's level

Entry requirements

  • At least 60 credits in computer science with progression including 5 credits of academic writing.

Main field

CTDVA / Computer Science

Progression level

G2F / First cycle, has at least 60 credits in first-cycle course/s as entry requirements

Progression level in relation to degree requirements

The course is part of the main area of ​​computer science, and can be included in the degree requirements for a bachelor's degree in computer science.

Course contents

  • Scientific theory
  • Goal formulation of research projects
  • Formulation of hypotheses and research questions •
  • Qualitative and quantitative research methods, deductive methods, design science
  • Methods for analysis of results, descriptive statistics
  • Academic writing and reading
  • Information search
  • Research ethics

Learning outcomes

Knowledge and understanding

To pass the course, the student should be able to:

1. explain philosophical concepts and perspectives in computer science

2. describe computer science research methods

3. explain how a computer science research project is carried out

Skills and abilities

To pass the course, the student must be able to:

4. formulate a scientific problem

5. search, select and evaluate relevant information to formulate a scientific problem

6. write academic texts that meet scientific requirements for structure, style and reference management

7. analyze results using appropriate statistical methods

8. present results in a scientific manner

Evaluation skills and approach

To pass the course, students must be able to:

9. reflect on the entire research process - from formulating the research question, selecting information and choosing methods to analyzing, presenting and evaluating results

10. make assessments with regard to relevant ethical aspects

Learning activities

The course is conducted through lectures, seminars and self-study.

Assessment

For the grade Pass, the following are required:

  • Assignments, 4 credits, UG (Learning objectives: 2-6, 8-10)
  • Exam, 3.5 credits, UV (Learning objectives: 1-10)

The final grade is based on the exam.

Course literature

  • Oates, B.J., Griffiths, M., McLean, R., (2022). Researching Information Systems and Computing. 2nd edition, Sage Publications, London.
  • Zobel, J. (2014). Writing for Computer Science - The art of effective communication. 3rd ed., Springer, London.

Course evaluation

Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).

Interim rules

If a course is no longer offered, or has undergone significant changes, the students must be offered two opportunities for re-examination based on the syllabus that applied at the time of registration, for a period of one year after the changes have been implemented.

Additional information

If a student has a Learning support decision, the examiner has the right to provide the student with an adapted test, or to allow the student to take the exam in a different format.

The syllabus is a translation of a Swedish source text.