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FID3023 Research Methodology in Computer Science 7.5 credits

In recent years, relating descriptions of research to the Sustainable Development Goals has become very important. To relate here entails more than the trivial fact that engineering improvements affects energy consumption positively. All the goals will be scrutinized in the course and a guest lecturer will contribute an external perspective.

Information per course offering

Course offerings are missing for current or upcoming semesters.

Course syllabus as PDF

Please note: all information from the Course syllabus is available on this page in an accessible format.

Course syllabus FID3023 (Autumn 2019–)
Headings with content from the Course syllabus FID3023 (Autumn 2019–) are denoted with an asterisk ( )

Content and learning outcomes

Course disposition

The planned course activities are: seminars, written reports, exercises, and presentations.

Course contents

The course includes but is not limited to: models and their properties, experiments, sustainability, ethics, and statistical methods.

Intended learning outcomes

After the course, the student will be able to:
- evaluate different scientific research methods in computer science.
- describe how these methods can be used in their own research.
- analyze computability and reproducibility in their own research.
- design, conduct, present, analyze, and summarize experiments.
- apply basic statistical methods applicable within computer science.
- analyze professional responsibility and ethical aspects specific to computer science.
- identify elements in own research relevant to the KTH- and the UN sustainability development goals.

Literature and preparations

Specific prerequisites

Doctoral students

Recommended prerequisites

Master Degree

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale

P, F

Examination

  • EXA1 - Written exam, 7.5 credits, grading scale: P, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

 Assignments.

Other requirements for final grade

 Active participation and fulfilled assignments.

Examiner

Ethical approach

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

Main field of study

This course does not belong to any Main field of study.

Education cycle

Third cycle

Postgraduate course

Postgraduate courses at EECS/Software and Computer Systems