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433-303 Artificial Intelligence | |
Credit Points | 12.5 |
Coordinator | Professor Leon Sterling |
Prerequisites | Computer Science 433-253 |
Pre/corequisites | 433-252 is strongly recommended |
Semester | 1 |
Contact | 24 hours of lectures and approximately 17 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. A selection from the following: game playing, expert systems, pattern recognition, machine vision, natural language, robotics and planning, neural networks. |
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 |
Search : Index : Faculty of Engineering : School of Electrical Engineering and Computer Science
Prev 433-257 Frontiers of Computer Science
Next 433-313 Computer Design
Status: Official 1998 Last Modified: Tuesday October 21 17:11 SGML to HTML Conversion: Information Technology Services Authorised by: Academic Registrar Email Enquiries: Course_Information@registrar.unimelb.edu.au