- 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).
DA2210 Introduction to the Philosophy of Science and Research Methodology for Computer Scientists 6.0 credits
Information per course offering
Information for Autumn 2024 vettig24 programme students
- Course location
KTH Campus
- Duration
- 26 Aug 2024 - 13 Jan 2025
- Periods
- P1 (1.5 hp), P2 (4.5 hp)
- Pace of study
17%
- Application code
50257
- Form of study
Normal Daytime
- Language of instruction
English
- Course memo
- Course memo is not published
- Number of places
Places are not limited
- Target group
Searchable for students from year 3 and for students admitted to a master's programme, as long as it can be included in your programme.
- Planned modular schedule
- [object Object]
- Schedule
- Part of programme
Contact
Mats Nordahl, e-post: mnordahl@kth.se
Course syllabus as PDF
Please note: all information from the Course syllabus is available on this page in an accessible format.
Course syllabus DA2210 (Autumn 2024–)Headings with content from the Course syllabus DA2210 (Autumn 2024–) are denoted with an asterisk ( )
Content and learning outcomes
Course contents
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.
Literature and preparations
Specific prerequisites
- Knowledge in basic computer science, 6 credits, corresponding to completed course DD1338/DD1320-DD1327/DD2325/ID1020/ID1021.
- Knowledge of probability theory and statistics, 6 credits, equivalent to completed course SF1910-SF1924/SF1935.
Recommended prerequisites
Corresponding the qualification requirements for Master of Science in Computer Science or Machine Learning.
Equipment
No information inserted
Literature
No information inserted
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
- QUI1 - Digital quizzes, 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.
Written and oral examination is done for higher grades on QUI1.
Other requirements for final grade
Attendance at the seminars is mandatory.
Opportunity to complete the requirements via supplementary examination
No information inserted
Opportunity to raise an approved grade via renewed examination
No information inserted
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
Computer Science and Engineering
Education cycle
Second cycle
Add-on studies
Discuss with the instructor.
Contact
Mats Nordahl, e-post: mnordahl@kth.se
Transitional regulations
The previous course component TEN1 is replaced by QUI1.
Supplementary information
In this course, the school's honor code is applied, see:
https://www.kth.se/en/eecs/utbildning/hederskodex/inledning-1.17237