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DA1700 Tutoring, Teaching and Learning in Computer Science Education 3.0 credits

This course is both a training course for those who are already teaching assistants and provides a foundation for students who want to do degree work with a computer science didactic focus. It also provides knowledge and skills that are common in working life, where many professions contain elements of teaching. Students who have not yet worked as teaching assistants but who are interested in teaching are also welcome to take the course.

The course contains teaching practice (which is included in the course credits but will not be paid).

About course offering

For course offering

Spring 2025 hulda25 programme students

Target group

Open to all programmes as long as it can be included in your programme.

Part of programme

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P3 (1.5 hp), P4 (1.5 hp)


14 Jan 2025
2 Jun 2025

Pace of study


Form of study

Normal Daytime

Language of instruction


Course location

KTH Campus

Number of places

Places are not limited

Planned modular schedule


For course offering

Spring 2025 hulda25 programme students

Application code



For course offering

Spring 2025 hulda25 programme students


Linda Kann (


No information inserted

Course coordinator

No information inserted


No information inserted
Headings with content from the Course syllabus DA1700 (Spring 2021–) are denoted with an asterisk ( )

Content and learning outcomes

Course contents

  • Introduction to computer science education theory and learning in computer science. Research on learning in computer science.
  • Legal certainty and legal security. Conduct towards students, equality and fairness in teaching context.
  • Constructive alignment. Outcome based teaching and examination.
  • Planning of teaching. Presentation techniques. Tutoring techniques.
  • Methods and tools in computer science teaching.
  • Placement as teaching assistant/lab assistant in some course in computer science.

Intended learning outcomes

After passing the course, the student should be able to

  • plan, carry out and evaluate learning activities taking stated intended learning outcomes and computer science education theory into account
  • respond to students with empathy and respect in accordance with regulations for equality and fundamental values
  • assess students' abilities, learning and development towards stated intended learning outcomes and in a constructive way communicate the assessment to the students

in order to

  • develop as a teaching assistant in programming and computer science courses 
  • be able to tutor and teach in professional life 
  • obtain qualifications needed to do a degree project with specialisation in computer science education.

Literature and preparations

Specific prerequisites

Completed course in basic computer science equivalent to DD1338, DD1320, DD1321 or DD1327.

Recommended prerequisites

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Gary Thomas: Education: A Very Short Introduction. Oxford University Press. 2013. ISBN-13: 9780199643264.

Examination and completion

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

Grading scale

P, F


  • PRA1 - Practical training, 1.0 credits, grading scale: P, F
  • SEM1 - Seminar assignments, 2.0 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.

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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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


Education cycle

First cycle

Add-on studies

No information inserted


Linda Kann (

Supplementary information

In this course, the EECS code of honor applies, see: