IKT111 Concepts of Artificial Intelligence
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Morten Goodwin
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
- Artificial Intelligence, 5-year master programme
Teaching language
EnglishCourse contents
- 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
Learning outcomes
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
Teaching methods
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.
Evaluation
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.
Assessment methods and criteria
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.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
| Course | Reduction of Credits |
|---|---|
| IKT109 – Principles of Artificial Intelligence | 5 |