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

Handledning, undervisning och lärande i datalogiutbildning

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

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Offering and execution

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Course information

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.

Course Disposition

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Literature and preparations

Specific prerequisites *

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

Recommended prerequisites

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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 *

  • 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 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 DA1700

Offered by

EECS/Computer Science

Main field of study *


Education cycle *

First cycle

Add-on studies

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Linda Kann (lk@kth.se)

Supplementary information

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