DA2210 Introduction to the Philosophy of Science and Research Methodology for Computer Scientists 6.0 credits

Vetenskapsteori och vetenskaplig metodik för dataloger

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Course information

Content and learning outcomes

Course contents *

  • The basic concepts within philosophy of science and research methodology, such as causality, data, correlation, hypothesis, inductive-deductive methods.
  • Special methods and problems within computer science and mathematics.
  • Research methodology within engineering projects.
  • Experimental methodology.
  • Ethics in science and the role of science in society.
  • How to read and write scientific reports.
  • Practical training in writing of scientific reports (similar to degree projects).

Intended learning outcomes *

Having passed the course, the student should be able to:

  • explain and analyse scientific theories relevant for research in computer science,
  • explain and analyse scientific methods relevant for research in computer science,
  • review scientific articles in computer science with regard to theory, method and result critically
  • identify methodological problems in a study
  • identify ethical problems in different scientific situations and discuss them
  • plan and carry out the writing of a scientific report.

Course Disposition

Lectures that cover the main theoretical results and basic scientific methods.

Seminars, in which the students, in groups and individually, are trained in reading, describing and evaluating scientific experiments and reports.

Practical training to write shorter and longer scientific reports that apply the methods and theories that have been gone through during the course.

Literature and preparations

Specific prerequisites *

No information inserted

Recommended prerequisites

Corresponding the qualification requirements for Master of Science in Computer Science or Machine Learning.


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Kurslitteratur meddelas senast 4 veckor innan kursstart på kursens hemsida.

Examination and completion

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

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • HEM1 - Exercises, 1.5 credits, Grading scale: P, F
  • HEM3 - Essay, 1.5 credits, Grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.0 credits, Grading scale: A, B, C, D, E, FX, 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.

Other requirements for final grade *

Exam and home assignments.

Opportunity to complete the requirements via supplementary examination

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Opportunity to raise an approved grade via renewed examination

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Johan Karlander

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 web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web DA2210

Offered by

EECS/Computer Science

Main field of study *

Computer Science and Engineering

Education cycle *

Second cycle

Add-on studies

Discuss with the instructor.


Mats Nordahl, e-post: mnordahl@kth.se

Supplementary information

In this course, the school's honor code is applied, see: