IE303312 - Intelligent systems


This course is no longer taught and is only available for examination. For a complete course description, see previous academic years.

Examination arrangement

Examination arrangement: Oral examination
Grade: Letters

Evaluation Weighting Duration Grade deviation Examination aids
Oral examination 100/100 E

Course content

The course topics will vary each year, dependent on available teachers and scientific interests. A selection of topics will be made public at the start of the semester. Possible topics include: Introduction to artificial intelligence and intelligent agents Problemsolving and search methods Knowledge, reasoning, and planning (KRP) Uncertainties and probabilities in KRP Learning Communication, perception, action Typical methods and terminology that will be studied are: Genetic algorithm (GA) Neural networks (NN) Particle swarm optimisation (PSO) Ant colony optimisation (ACO) Intelligent agents Intelligent algorithms such as BFS,DFS, A*, D*, Dijkstra's algorithm Expert systems Fuzzy logic Classification systems Machine learning Artificial intelligence (AI) Computational intelligence (CI) Etc.

Learning outcome

Læringsutbytte - Kunnskap: present the selected topics, emphasising application, methods, and advantages/disadvantages.   Læringsutbytte - Ferdigheter: construct models and implement simulations of the models within the scope of the selected topics. solve practical and theoretical problems using the methods in the selected topics. Læringsutbytte - Kompetanse: find, study, understand and use relevant scientific literature as a foundation for developing own models and simulations. document own work in a scientifically satisfactorily manner through the written assignments.

Learning methods and activities

Pedagogiske metoder: Lectures, assignments individually or in groups, literature study, discussion, demonstrations, all with a focus on application and simulation. Compulsory assignment with feedback from the teacher.  Obligatoriske arbeidskrav: All compulsory assignments must be passed for admission to the exam. The assignments are gathered in a portfolio that forms the basis for the oral exam.

Compulsory assignments

  • Mandatory assignment

Specific conditions

Compulsory activities from previous semester may be approved by the department.

Credit reductions

Course code Reduction From To
AIS2101 7.5 01.09.2021
More on the course



Version: 1
Credits:  10.0 SP
Study level: Third-year courses, level III


Language of instruction: -

Location: Ålesund

Subject area(s)
  • Engineering
Contact information
Course coordinator:

Department with academic responsibility
Department of ICT and Natural Sciences


Examination arrangement: Oral examination

Term Status code Evaluation Weighting Examination aids Date Time Digital exam Room *
Autumn ORD Oral examination 100/100 E
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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