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Syllabus:

Artificial Intelligence, 7.5 Credits

The course is discontinued

Swedish name: Artificiell intelligens

This syllabus is valid: 2009-08-24 and until further notice

Course code: 5DV019

Credit points: 7.5

Education level: Second cycle

Main Field of Study and progress level: Computing Science: Second cycle, has only first-cycle course/s as entry requirements

Grading scale: Pass with distinction, Pass with merit, Pass, Pass with distinction, Pass, Fail

Responsible department: Department of Computing Science

Contents

The course gives a detailed introduction to the area of Artificial Intelligence ­ its goals, concepts, methods, and applications. The following topics are covered: search; logic-based knowledge representation; planning; probabilistic reasoning; learning through neural networks and decision trees; and philosophical status.

Required Knowledge

Univ:To be admitted you must have 60 ECTS-credits in Computing Science or 2 years of completed studies, in both cases including C-programming and Unix, (5DV006) and Logic for Computer Scientists (5DV007) or equivalent. English proficiency equivalent to IELTS Academic Training –minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL – minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course in taught in Swedish. English proficiency equivalent to IELTS Academic Training –minimum score 5.0 with no individual score below 4.5 (Tests taken before January 2005 not admissible or TOEFL – minimum score 500 on paper based test and not below 4.0 on the TWE, Alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course is taught in Swedish.

Literature