Unit outline for Artificial Intelligence (CITS4211).
6 points / Semester 1
Location: UWA (Crawley)
Artificial intelligence (AI) is concerned with giving computers high-level abilities such as problem solving, reasoning, learning and communicating, and makes use of algorithms that are inspired by the way humans and other species interact with the world. While this is a difficult task, it has seen a resurgence of interest in recent years with the provision of fast distributed hardware, the incorporation of AI algorithms in widely-used commercial software, and the need for agents that can make sense of the ever-burgeoning World Wide Web. This unit considers the problem of building 'intelligent agents'. It involves the study of structures and algorithms that allow an agent to act rationally in the world while given only partial information about the world. Topics covered include search, two-player game algorithms, sequential decision problems, machine learning, knowledge representation and reasoning, and planning. The topics are supported by hands-on programming projects that put the theory into practice.
Prerequisites: CITS2200 Data Structures and Algorithms
Students develop a broad understanding of the field of artificial intelligence (AI), the kinds of problems it addresses, and the types of solutions that have been proposed; gain a working knowledge of the fundamental structures and algorithms that have been developed in major areas of artificial intelligence, and the ability to identify problems and formulate solutions in those areas; acquire in-depth technical competence in a sub-area of AI through practical work that provides the opportunity for exploration, development and comparison of solutions; and experience working as part of a team.
Unit Co-ordinator: Dr Cara MacNish
Artificial Intelligence: A Modern Approach, 2nd Ed, S. Russel and P. Norvig (aka "The Intelligent Agent Book")
62 (lectures: 26 hrs; labs/seminars: 36 hrs)
This comprises a mid-semester test, a lab-based team project and an examination. The test and examination assess students' general understanding of the field and its fundamental algorithms, including the ability to identify problems and formulate solutions. The laboratory exercise allows students to put the theory into practice. A team project allows students to formulate, implement and test in-depth solutions to a problem as well as gain experience at functioning effectively as part of a team. Supplementary assessment is not available in this unit except in the case of a bachelor's pass degree student who has obtained a mark of 45 to 49 and is currently enrolled in this unit, and it is the only remaining unit that the student must pass in order to complete the course.
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The unit can be accessed via WebCT. The final unit quiz must be completed with a mark of 80% or greater. Students may attempt the quiz as many times as they wish to gain the required pass mark. Completion of the unit will be recorded as an Ungraded Pass (UP) on students’ academic records. Non-completion (NC) within the required timeframe will also be documented on formal academic records.
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