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.
On this page
- Prescriptions for the GradCert(AI) and GradDip(AI)
- Prescriptions for the PGDip(AI), BSc(Hons), MSc and MSc(Research)
- 300 Level
- 500 Level
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.
Code Paper Title Points Occurrence / Location COMPX301 Design and Analysis of Algorithms 15.0 23A (Hamilton) This course gives a survey of advanced algorithms and analysis of their performance, along with heuristic methods that include basic Artificial Intelligence techniques. COMPX307 Principles of Programming Languages 15.0 23B (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. COMPX310 Machine Learning 15.0 23B (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. COMPX323 Advanced Database Concepts 15.0 23A (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 ... COMPX361 Logic and Computation 15.0 23B (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... COMPX367 Computational Mathematics 15.0 23B (Hamilton) Introduces numerical methods for solving various mathematical problems. DATAX322 Probability and Stochastic Processes 15.0 23A (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.
Code Paper Title Points Occurrence / Location AIMLX591 Artificial Intelligence Dissertation 30.0 23X (Hamilton) A report on findings of a theoretical or empirical investigation. AIMLX592 Artificial Intelligence Dissertation 60.0 23X (Hamilton) A report on the findings of a theoretical or empirical investigation. AIMLX594 Artificial Intelligence Thesis 120.0 23X (Hamilton) An externally examined piece of written work that reports on the findings of supervised research. COMPX521 Machine Learning Algorithms 15.0 23B (Hamilton) This paper exposes students to selected machine learning algorithms and includes assignments that require the implementation of these algorithms. COMPX523 Data Stream Mining 15.0 23A (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. COMPX525 Deep Learning 15.0 23A (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. COMPX556 Metaheuristic Algorithms 15.0 23B (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