Artificial Intelligence

5 credits

Syllabus, Master's level, 1DL340

A revised version of the syllabus is available.
Code
1DL340
Education cycle
Second cycle
Main field(s) of study and in-depth level
Computer Science A1N, Technology A1N
Grading system
Pass with distinction, Pass with credit, Pass, Fail
Finalised by
The Faculty Board of Science and Technology, 12 March 2009
Responsible department
Department of Information Technology

Entry requirements

120 credits with mathematics 20 credits and Computing Science 30 credits including a second course in Computer Programming.

Learning outcomes

In order to pass, the student must be able to

  • recognise that a problem is an AI-problem,
  • model AI-problems and point out an appropriate solution (for example expert systems, search algorithms, learning),
  • describe and use search methods, expert systems, statistical methods and simple methods for learning,
  • discuss different definitions of AI, and relate those to the history of AI.

Content

Heuristic search, knowledge representation, expert systems, learning systems.

Applications of AI, for instance in computer games.

Instruction

Lectures and labs.

Assessment

Written exam (3 credits) and assignments (2 credits) that are presented orally or in writing.

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