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Artificial Intelligence Techniques PG (6685.5)

Level: Postgraduate Level
Credit Points: 3
HECS Bands: 2
Faculty: Faculty of Science and Technology
Discipline: Academic Program Area - Technology

Availability

    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

    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 39 hours per semester.

    Prerequisites

    Must have passed 11521 Programming for Data Science G OR 8995 Software Technology 1 G

    Corequisites

    None.

    Assumed Knowledge

    None.

    Incompatible Units

    None.

    Equivalent Units

    None.


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