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433-303 Artificial Intelligence | |
Credit Points | 12.5 |
Coordinator | Prof Leon Sterling |
Prerequisites | Computer Science 433-253 |
Pre/corequisites | 433-252 is strongly recommended |
Semester | 1 (view timetable) |
Contact | 24 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. 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. |
Search : Index : Faculty of Engineering : School of Electrical Engineering and Computer Science
Prev 433-257 Frontiers of Computer Science
Next 433-313 Computer Design
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