| TDDC17 | Artificial Intelligence , 6 ECTS credits. /Artificiell intelligens/ |
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Prel. scheduled
hours: 52 |
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Area of Education: Technology Subject area: Computer Science/Computer Engineering |
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| Advancement level
(A-D): C
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| Aim: The course gives an introduction to artificial intelligence (AI) and its applications. Focus is on developing intelligent agents systems that can decide what to do and do it. This requires techniques for problem solving, knowledge and reasoning, learning, communication, perceiving and acting. |
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| Prerequisites: (valid for students admitted to programmes within which the course is offered) TDDB92 Programming in Incremental Systems TATM90 Discrete Mathematics and Logic TDDB25 Programming: Abstraction and Modelling TDDB57 Data Structures and Algorithms Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding. |
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| Supplementary courses: TDDA14 AI Programming TDDA16 Representation of knowledge in AI TDDB66 Expert Systems - Methods and Tools |
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| Organisation: The course consists of 36 hours of lectures and 24 hours laboratory work. Lectures are devoted to theory; AI techniques are practised in the laboratory work. |
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| Course contents: Overview of AI and its applications. Search as a problem-solving method. Logic as a means of representing knowledge. Reasoning with incomplete information; nonmonotonic and probabilistic reasoning. Structured knowledge representation. Action planning for robots. AI methods in natural language processing. Strategies for automatic learning. Orientation in architectures for AI. |
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| Course literature: Russell, S. & Norvig, P. (2002) Artificial Intelligence: A Modern Approach, Prentice Hall. ISBN 0137903952 (hard) 0130803022 (paperback). Compendium compiled at the Department of Computer and Information Science. Reference literature: Barr & Feigenbaum, The Handbook of Artificial Intelligence, Vols. 1-4, 1981-1989. Charniak, E, McDermott, D, Introduction to Artificial Intelligence, Addison Wesley, 1985. Genesereth, M, R, Nilsson, N,J, Logical Foundations of Artificial Intelligence, Morgan Kaufmann, 1988. Rich, E, Knight, K, Artificial Intelligence, second edition, McGraw Hill, 1991. Shapiro, C, Encyclopedia of Artificial Intelligence, Vol. 1-2, Wiley International. 1991 |
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| Examination: | |||
| Written examination Labratory work |
2 p 2 p |
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Course language is English. Department offering the course: IDA. Director of Studies: Peter Dalenius Examiner: Patrick Doherty Link to the course homepage at the department Course Syllabus in Swedish |
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