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Handbook 1997 : Faculty of Engineering : School of Electrical Engineering and Computer Science

433-303 Artificial Intelligence

Credit Points:

12.5

Coordinator:

Professor L Sterling

Prerequisite/s:

Computer Science 433-242, 433-243 and 433-244 (From 1998: 433-253. Note 433-252 is strongly recommended.)

Pre/Corequisite/s:

Computer Science 433-241 or Electrical Engineering 431-204 (From 1998: nil.)

Timetable:

Semester 1

Contact:

26 hours of lectures and approximately 17 hours of practice classes

Objectives:

On successful completion of this subject students should:

  • understand the foundations of Artificial Intelligence and the associated technologies that have evolved in both declarative and procedural approaches;

  • have attained basic proficiency skills in logic programming, and in carrying out algorithmic analyses of problems in a variety of relevant areas.

Content:

Searching, problem solving, logic and deduction, knowledge representation, machine learning, programming languages for artificial intelligence. A selection from the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and planning.

Assessment:

Up to three hours of written examinations at the end of the subject. Project work, which is expected to take about 36 hours, must be completed satisfactorily to pass the subject. Weighting of assessment components will be made known at the commencement of the subject.
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Handbook 1997 : Faculty of Engineering : School of Electrical Engineering and Computer Science 
Status:                   OFFICIAL 1997
Last Modified:            Wednesday March 12 3:36 pm
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Email Enquiries:          Course_Information@registrar.unimelb.edu.au
Copyright © University of Melbourne 1997.