433-303 Artificial Intelligence

Credit Points

12.5

HECS Band

2

Coordinator

Assoc Prof Z-Q Liu

Prerequisites

433-253 Algorithms and Data Structures and 433-255 Logic and Computation

Semester

2 (view timetable)

Contact

Twenty-four hours of lectures and approximately 12 hours of practice classes

Subject Description

The objective of this subject is for students to understand the foundations of artificial intelligence and the associated technologies that evolved in both declarative and procedural approaches.

Topics covered include searching, problem solving, logic and deduction, knowledge representation, machine learning, programming languages for artificial intelligence; and a selection from the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and planning, neural networks.

Assessment

Project work (expected to take about 36 hours) during semester and one written examination (not exceeding three hours) at the end of the semester. The project work must be completed satisfactorily to pass the subject. Weighting of assessment components will be advised at the commencement of the subject.



Status:                   Official 2003
Last Modified:            Monday April 28 22:11
SGML to HTML Conversion:  Information Division - CWIS (SDI)
Authorised by:            Academic Registrar
Enquiries:                http://unimelb.custhelp.com/

Valid CSS! Valid XHTML 1.0!