Innholdsfortegnelse

Emnet er tilknyttet følgende studieprogram

Undervisningsspråk

English

Læringsutbytte

Upon completion of this course, students will 

  • have a basic understanding of the concept of intelligent agents
  • have overview of searching as a problem solving approach
  • have an understanding of the concept of knowledge bases and expert systems

Innhold

  • History of AI
  • Intelligent agents
  • Solving problems by searching, heuristic search strategies
  • Local search and optimization problems
  • Adversarial search, games, alpha-beta pruning
  • Constraint satisfaction problems
  • Introduction to expert systems

Undervisnings- og læringsformer

The course is organized with a combination of lectures, assignments, paper studies, labs, and report writing. The tasks are done individually or in small groups with group supervision. The workload for the average student is approximately 135 hours.

Eksamen

3 hours written exam (50%). Portfolio assessment (50%). Information about the content of the portfolio will be given in Canvas at the start of the semester for each seminar. Graded assessment.

Studentevaluering

The study program manager in consultation with the student representative select the form of evaluation and whether the subjects will have mid-term or final evaluation, cf. the quality system chapter 4.1. Information about the evaluation form for the subject is published in Canvas.

Reduksjon i studiepoeng

Innholdet i dette emnet dekkes helt eller delvis av annet emne. Tas ett av disse emnene i tillegg, reduseres studiepoengene som følger:

Emne Studiepoengreduksjon
IKT109 – Principles of Artificial Intelligence. 5
Sist hentet fra FS (Felles studentsystem) 15. okt. 2026 11:39:47