Syllabus for Artificial Intelligence

Artificiell intelligens


  • 7.5 credits
  • Course code: 1DL010
  • Education cycle: Second cycle
  • Main field(s) of study and in-depth level: Computer Science A1N
  • Grading system: Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
  • Established: 2020-02-27
  • Established by:
  • Revised: 2021-02-04
  • Revised by: The Faculty Board of Science and Technology
  • Applies from: Autumn 2021
  • Entry requirements:

    120 credits including 15 credits in mathematics and 20 credits in computing science, including a second course in programming. Proficiency in English equivalent to the Swedish upper secondary course English 6.

  • Responsible department: Department of Information Technology

Learning outcomes

On completion of the course, the student should be able to:

  • recognise that a problem is an AI-problem,
  • model AI-problems and point out an appropriate solution (for example expert systems, search algorithms, machine learning),
  • describe and use search methods, expert systems, statistical methods and methods for learning,
  • make judgments with regard to relevant scientific, social and ethical aspects in the application of AI,
  • discuss different definitions of AI, and relate those to the history of AI.


Heuristic search, knowledge representation, expert systems, machine learning including artificial neural networks and deep learning.

Applications of AI, for instance in computer games.


Lectures and labs.


Written exam (3 credits), assignments (2 credits) and project (2.5 credits) that are presented orally or in writing.

If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.

Other directives

The course cannot be included in a degree with 1DL340 Artificial Intelligence.

Reading list

Reading list

Applies from: Autumn 2021

Some titles may be available electronically through the University library.

  • Russell, Stuart Jonathan; Norvig, Peter Artificial intelligence : a modern approach

    Fourth edition.: Hoboken, NJ: Pearson, [2021]

    Find in the library

  • Goranko, Valentin Logic as a tool : a guide to formal logical reasoning

    1. uppl.: Chichester, West Sussex: Wiley, 2016

    Find in the library

Last modified: 2022-04-26