Main literature:
- Russell, Stuart Jonathan & Norvig, Peter (2010). Artificial intelligence: a modern approach. 3.,[updated] ed. Boston: Pearson Education. ISBN-10: 0136042597
- Wooldridge, Michael J. (2009). An introduction to multiagent systems. 2nd ed. Chichester, U.K.: John Wiley & Sons. ISBN-10: 0470519460
- Collection of articles and chapters
Reference literature:
- Witten, Ian H., Frank, Eibe & Hall, Mark A. (2011). Data mining: practical machine learning tools and techniques. 3. ed. Burlington, MA: Morgan Kaufmann. ISBN-10: 0123748569
Artificial Intelligence
Freestanding course
About the course
The aim of the course is to introduce the field of Artificial Intelligence (AI), as well as the basic concepts and techniques that are used within the field. In addition, the course will develop insights into some of the application areas where artificial intelligence plays an important role.
Course content
The course contains the following parts:
- Introduction to AI
- Agent technology
- Problem solving (including search methods)
- Knowledge representation and logic
- Machine learning
- Applications
Entry requirements and selection
Entry requirements
1. The equivalent of English 6 in Swedish secondary school.
2. At least 30 credits in Computer Science, including 15 credits of Object Oriented Programming.
Selection
100% University credits completed
Course literature
Course evaluation
Malmö University provides students who participate in, or who have completed a course, with the opportunity to express their opinions and describe their experiences of the course by completing a course evaluation administered by the University. The University will compile and summarise the results of course evaluations. The University will also inform participants of the results and any decisions relating to measures taken in response to the course evaluations. The results will be made available to the students (HF 1:14).
