Artificial Intelligence (2023)

Artificial intelligence (AI) is the combination of data, algorithms and computing power that can perform tasks that would require intelligence if they were done by a human. It is impacting our lives, businesses and environment. As a subject AI will give students advanced skills and techniques to address the problems at hand.


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  • Prescriptions for the GradCert(AI) and GradDip(AI)

    A Graduate Certificate and Graduate Diploma are available to graduates who have not included Artificial Intelligence at an advanced level in their first degree.

    For further details, contact the Division of Health, Engineering, Computing and Science Office.

  • Prescriptions for the PGDip(AI), BSc(Hons), MSc and MSc(Research)

    To complete a PGDip(AI), students must complete 120 points at 500 level including at least 90 points from papers listed for Artificial Intelligence.

    Enrolment in papers towards the BSc(Hons) is only by invitation of the Head of School. To complete a BSc(Hons) in Artificial Intelligence, students must complete 120 points at 500 level, including at least 90 points from the 500-level papers listed for Artificial Intelligence, of which at least 30 points must be in research (normally AIMLX591).

    To complete an MSc in Artificial Intelligence, students admitted under section 2(a) of the MSc regulations must complete 180 points at 500 level including AIMLX592, and at least another 60 points from the 500-level papers listed for Artificial Intelligence.

    To complete an MSc (Research) in Artificial Intelligence, students admitted under section 2(a) of the MSc (Research) regulations must complete 180 points at 500 level consisting of AIMLX594, and 60 points from the 500-level papers listed for Artificial Intelligence.

  • 300 Level

    Code Paper Title Points Occurrence / Location
    COMPX301Design and Analysis of Algorithms15.023A (Hamilton)
    This course gives a survey of advanced algorithms and analysis of their performance, along with heuristic methods that include basic Artificial Intelligence techniques.
    COMPX307Principles of Programming Languages15.023B (Hamilton)
    The design, implementation and use of programming languages, in particular the use of functional languages to implement imperative languages will be studied. Assignments will involve challenging programming problems.
    COMPX310Machine Learning15.023B (Hamilton) & 23B (Tauranga)
    This paper introduces Machine Learning (ML) which is the science of making predictions. ML algorithms strive to be fast and highly accurate, while processing large datasets. This paper will use standard Python-based ML toolkits to teach the fundamentals of ML.
    COMPX323Advanced Database Concepts15.023A (Hamilton)
    This paper provides an introduction to the advanced features of database management systems. Students will learn to use and manipulate advanced features, and to understand and explore the technical background of large database management systems. They will have hand-on practice in using these features to create, query and maintain ...
    COMPX361Logic and Computation15.023B (Hamilton) & 23B (Tauranga)
    The syllabus includes: further development of predicate logic with application to program verification; mathematical induction including structural induction; finite state automata and regular languages; Kleene's Theorem; Turing machines, the Church-Turing thesis, universal Turing machines and the Halting problem; formal grammars a...
    COMPX367Computational Mathematics15.023B (Hamilton)
    Introduces numerical methods for solving various mathematical problems.
    DATAX322Probability and Stochastic Processes15.023A (Hamilton)
    This paper introduces students to probability theory and stochastic processes. It covers formally the theoretical foundations of probability, random variables, statistics, stochastic processes and Markov chains.
  • 500 Level

    Code Paper Title Points Occurrence / Location
    AIMLX591Artificial Intelligence Dissertation30.023X (Hamilton)
    A report on findings of a theoretical or empirical investigation.
    AIMLX592Artificial Intelligence Dissertation60.023X (Hamilton)
    A report on the findings of a theoretical or empirical investigation.
    AIMLX594Artificial Intelligence Thesis120.023X (Hamilton)
    An externally examined piece of written work that reports on the findings of supervised research.
    COMPX521Machine Learning Algorithms15.023B (Hamilton)
    This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms.
    COMPX523Data Stream Mining15.023A (Hamilton)
    Data streams are everywhere, from F1 racing over electricity networks to news feeds. Data stream mining relies on and develops new incremental algorithms that process streams under strict resource limitations.
    COMPX525Deep Learning15.023A (Hamilton)
    This paper provides an introduction into Deep Learning, focussing on both algorithms and applications. It covers both the basics of Neural networks and current mainstream and advanced Deep Learning technology.
    COMPX556Metaheuristic Algorithms15.023B (Hamilton)
    Metaheuristic are stochastic search algorithms for solving massive scale combinatorial problems where exact algorithms do not exist. This paper explores the state-of-the-art metaheuristics such as GRASP, particle swarm optimisation, and parallel metaheuristics, along with their applications in operations research, science and engin...

2023 Catalogue of Papers information current as of : 25 November 2022 2:42pm

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