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Linköping Institute of Technology

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Valid for year : 2007
 
TDDC65 Artificial Intelligence and LISP, 6 ECTS credits.
/Artificiell intelligens och LISP/

For:   CS   DI   I   Ii   TB  

 

Prel. scheduled hours: 64
Rec. self-study hours: 96

  Area of Education: Technology

Subject area: Computer Science/Computer Engineering

  Advancement level (G1, G2, A): G2

Aim:
The aim of the course is to introduce concepts and applications of artificial intelligence (e.g. robot control, decision support, economic analysis, production planning). After the course the student will be able to:
  • implement programs in the Lisp programming language
  • use first-order logic to formulate and solve problems
  • explain and discuss basic artificial intelligence concepts
  • apply well known artificial intelligence techniques


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Basic courses in computer science and programming (approximately 12 ECTS credits).

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.

Supplementary courses:
TDDA14 AI programming TDDA16 Representation of knowledge in AI

Organisation:
The course comprises two parts: Lisp and artificial intelligence (AI). The lectures on Lisp aim to present the language and its underlying philosophy. The tutorials provide practice and preparation for laboratory work. The lectures on AI present the basic theory and various applications. The laboratory work involves implementation of AI techniques.

Course contents:
  • The Lisp programming language: language and programming environment, such as editor, break and file management; methods for interactive, incremental program development.
  • Overview of AI: Problem characteristics and applictions. Basic problem-solving methods: state space serach, resolution and predicate logic and structured knowledge representation. Applications: planning, natural language processing, machine learning and robotics.


Course literature:
Haraldsson, Anders (1993) Programmering i Lisp. Studentlitteratur. Russell & Norvig (2002) Artificial intelligence - A modern approach. Pearson Education.

Examination:
Written examination
Labratory work
2 p
2 p
/
/
3 ECTS
3 ECTS
 



Course language is English.
Department offering the course: IDA.
Director of Studies: Peter Dalenius
Examiner: Erik Sandewall

Course Syllabus in Swedish

Linköping Institute of Technology

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Contact: TFK , val@tfk.liu.se
Last updated: 12/04/2007