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Artificial Intelligence Techniques (7154.4)

Level: Level 3 - Undergraduate Advanced Unit
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Education, Science, Technology & Maths
Discipline: Academic Program Area - Maths & Technology

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    Syllabus

    This unit looks at those techniques and concepts implemented as software that carries out actions which are normally thought of as requiring intelligence when carried out by humans. Topics are selected from knowledge representation, heuristic search and problem reduction, AI algorithms, natural language processing, decision support systems, expert systems, computer assisted instruction, speech understanding, vision, theorem proving, pattern recognition, robotics, games, data mining, scheduling, constraint processing and optimisation.

    Learning Outcomes

    DESCRIPTION:

    1.From this unit, the students will be able to define and appraise the major areas of AI research and use. They will be able to write simple programs to demonstrate aspects of AI using a suitable programming language.

    Contact Hours

    up to 4 hours per week, 2L + 1T + 1L

    Prerequisites

    Software Technology 2, Discrete Mathematics.



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