Skip to content

Artificial Intelligence - Methods and Applications

  • Number of credits 7.5 Credits
  • Level Master’s level
  • Starting Autumn Term 2018

About the course

Part 1, theory, 4.5 credits. The course provides theoretical and methodological knowledge and skills in classical AI (artificial intelligence) and robotics. Topics covered: Heuristics for search. Search for games. Applied predicate logic. Classical planning: heuristics. Knowledge representation. Probability theory: axioms, conditional probability, Bayes’ rule. Bayesian networks. Probabilistic reasoning over time, Hidden Markov Models. Decision trees and learning. Robotics: reinforcement learning, learning from demonstration, hybrid architectures, motion planning, odometry, metric and topological route planning, localization and map generation.

Part 2, laboratory, 3 credits. In the laboratory part some of the theories and techniques discussed in the theoretical part are put into practice. This part consists of a series of mandatory laboratory assignments, in part carried out with physical robots or advanced simulators.

Application and eligibility

Artificial Intelligence - Methods and Applications, 7.5 hp

Visa tillfällen för föregående termin Autumn Term 2018 Det finns inga senare terminer för kursen


Lectures begin on week starting 5 November 2018


Lectures end during the week of 14 January 2019

Study location




Type of studies

Daytime, 50%

Required Knowledge

Univ: To be admitted you must have (or equivalent) 90 ECTS-credits including 60 ECTS-credits in Computing Science or two years of completed studies within a study programme (120 ECTS-credits). In both cases, the studies must include the course Fundamentals of Artificial Intelligence (5DV121), at least 7.5hp within Data Structures and Algorithms (e.g. 5DV149 or 5DV150) and at least 7.5 ECTS-credits within logic (e.g. 5DV102 or 5DV162). A Bachelor's degree with a major in Computer Science is considered to be equivalent.

Proficiency in English equivalent to Swedish upper Secondary course English A/5. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.


Academic credits Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Online applications are now open. You will be transferred to Application deadline is 16 April 2018.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee


Tuition fee, first instalment


Total fee


Contact us

Please be aware that the university is a state body and that what you write here can be included in a public document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have a such an enquiry, please call us instead. All data will be treated in accordance with The Personal Data Act.

Course is given by
Department of computing science
Contactperson for the course is:
Student Office at computing science