Search Course Outline
Showing 25 course outlines from 103 matches
76
COMPSCI 760
: Advanced Topics in Machine Learning2025 Semester One (1253)
An overview of the learning problem and the view of learning by search. Covers advanced techniques for learning such as: decision tree learning, rule learning, exhaustive learning, Bayesian learning, genetic algorithms, reinforcement learning, neural networks, explanation-based learning and inductive logic programming. Advanced experimental methods necessary for understanding machine learning research.
Prerequisite: COMPSCI 361 or 762
77
COMPSCI 761
: Advanced Topics in Artificial Intelligence2025 Semester Two (1255)
Examines the cornerstones of AI: representation, utilisation, and acquisition of knowledge. Taking a real-world problem and representing it in a computer so that the computer can do inference. Utilising this knowledge and acquiring new knowledge is done by search which is the main technique behind planning and machine learning. Research frontiers in artificial intelligence.
Prerequisite: COMPSCI 220 and 225, or COMPSCI 220 and MATHS 254, or COMPSCI 713 and 714, or COMPSCI 718
Restriction: COMPSCI 367
Restriction: COMPSCI 367
78
COMPSCI 762
: Foundations of Machine Learning2025 Semester One (1253)
Machine learning is a branch of artificial intelligence concerned with making accurate, interpretable, computationally efficient, and robust inferences from data to solve a given problem. Students will be introduced to the foundations of machine learning and will gain practical skills to solve different problems. Students will explore research frontiers in machine learning.
Prerequisite: COMPSCI 713 and 714, or COMPSCI 718, or 15 points from DATASCI 100, STATS 101, 108 and COMPSCI 220 or 717 and COMPSCI 225 or MATHS 254
Restriction: COMPSCI 361
Restriction: COMPSCI 361
79
COMPSCI 764
: Deep Learning2025 Semester Two (1255)
Critically analyses the fundamentals of deep neural networks alongside current state-of-the-art advancements in this field. Students will acquire specialised knowledge in state-of-the-art deep learning architectures and gain the ability to apply deep learning in various fields, including natural language processing and computer vision. Includes a significant individual research project.
Prerequisite: COMPSCI 713, 714
80
COMPSCI 765
: Modelling Minds2025 Semester One (1253)
How can researchers of artificial intelligence effectively model subjective aspects of minds, such as emotional states, desires, perceptual experience and intrinsic goals? This course draws upon interdisciplinary methods and considers classic and emerging approaches to try to answer this question. Recommended preparation: COMPSCI 367
No pre-requisites or restrictions
81
COMPSCI 767
: Intelligent Software Agents2025 Semester One (1253)
An introduction to the design, implementation and use of intelligent software agents (e.g., knowbots, softbots etc). Reviews standard artificial intelligence problem-solving paradigms (e.g., planning and expert systems) and knowledge representation formalisms (e.g., logic and semantic nets). Surveys agent architectures and multi-agent frameworks.
Prerequisite: COMPSCI 367 or 761, or COMPSCI 713 and 714
82
COMPSCI 769
: Natural Language Processing2025 Semester Two (1255)
Examines the progress in enabling AI systems to use natural language for communication and knowledge storage. Explores knowledge formalisation, storage, multiple knowledge systems, theory formation, and the roles and risks of belief, explanation, and argumentation in AI. Includes a significant individual research project.
Prerequisite: COMPSCI 713, 714
83
COMPSCI 773
: Intelligent Vision Systems2025 Semester One (1253)
Computational methods and techniques for computer vision are applied to real-world problems such as 2/3D face biometrics, autonomous navigation, and vision-guided robotics based on 3D scene description. A particular feature of the course work is the emphasis on complete system design. Recommended preparation: COMPSCI 373 and 15 points at Stage II in Mathematics
No pre-requisites or restrictions
84
COMPSCI 1000MC
: Cyber Forensics and Security2025 Quarter Four (1258)
No pre-requisites or restrictions
Outline is not available yet
85
COMPSCI 1000MC
: Cyber Forensics and Security2025 Quarter Three (1256)
No pre-requisites or restrictions
Outline is not available yet
86
COMPSCI 1000MC
: Cyber Forensics and Security2025 Quarter Two (1254)
No pre-requisites or restrictions
Outline is not available yet
87
COMPSCI 1001MC
: Data Visualisation and Business Intelligence2025 Quarter Four (1258)
No pre-requisites or restrictions
Outline is not available yet
88
COMPSCI 1001MC
: Data Visualisation and Business Intelligence2025 Quarter Three (1256)
No pre-requisites or restrictions
Outline is not available yet
89
COMPSCI 1001MC
: Data Visualisation and Business Intelligence2025 Quarter Two (1254)
No pre-requisites or restrictions
Outline is not available yet
90
COMPSCI 120
: Mathematics for Computer Science2025 Semester Two (1255)
Basic mathematical tools and methods needed for computer science are introduced. Elementary mathematical skills for defining, analysing and reasoning with abstract objects used in programming are developed. Topics include integers and rational numbers, strings and sets, methods of proof (including induction), algorithms and functions, and elementary introductions to graphs, trees, counting and probability.
Prerequisite: MATHS 102 or at least 13 credits in Mathematics at NCEA Level 3 or D in CIE A2 Mathematics or C in CIE AS Mathematics or 3 out of 7 in IB Mathematics
Restriction: Cannot be taken with, or after, COMPSCI 225, MATHS 254
Restriction: Cannot be taken with, or after, COMPSCI 225, MATHS 254
Outline is not available yet
91
COMPSCI 289
: Research Seminar in Computer Science2025 Semester Two (1255)
An introduction to research topics in computer science. Students will be expected to prepare and deliver a review of research in a topic of their choice. Research articles will be provided during the course, and will consist of key scientific publications.
Prerequisite: Minimum GPA of 5.0 and COMPSCI 110, 120, 130
Outline is not available yet
92
COMPSCI 345
: Human-computer Interaction2025 Semester One (1253)
Human behaviour and humans' expectations of computers. Computer interfaces and the interaction between humans and computers. The significance of the user interface, interface design and user centred design process in software development. Interface usability evaluation methodologies and practice. Includes a group development and evaluation project using current implementation techniques and tools.
Prerequisite: COMPSCI 230 or SOFTENG 206
Restriction: SOFTENG 350
Restriction: SOFTENG 350
Outline is not available yet
93
COMPSCI 691B
: Postgraduate Diploma Research Project2025 Semester Two (1255)
Restriction: COMPSCI 780
To complete this course students must enrol in COMPSCI 691 A and B
94
COMPSCI 7000MC
: Cloud Computing for Business Professionals2025 Quarter Four (1258)
No pre-requisites or restrictions
Outline is not available yet
95
COMPSCI 7000MC
: Cloud Computing for Business Professionals2025 Quarter Three (1256)
No pre-requisites or restrictions
Outline is not available yet
96
COMPSCI 7000MC
: Cloud Computing for Business Professionals2025 Quarter Two (1254)
No pre-requisites or restrictions
Outline is not available yet
97
COMPSCI 704
: Fundamentals in Human-Computer Interaction2025 Semester One (1253)
Human behaviour and humans’ expectations of interaction. Computer interfaces and the interaction between humans and computers. The significance of the user interface, interface design and user centred design process in system development. Interface usability evaluation methodologies and practice. Includes processes of evaluation, design, and implementation using current techniques and tools.
Restriction: COMPSCI 345, SOFTENG 350
Outline is not available yet
98
COMPSCI 705
: Advanced Topics in Human Computer Interaction2025 Semester Two (1255)
Human aspects of computer systems, relevant to commercial solution development and computer science research. Sample topics: advanced evaluation methods; support of pen and touch-based interaction; trends with domain specific user interface design, such as interfaces for enterprise systems.
Prerequisite: COMPSCI 345 or 704 or SOFTENG 350
Restriction: SOFTENG 702
Restriction: SOFTENG 702
Outline is not available yet
99
COMPSCI 710
: Directed Study2025 Semester Two (1255)
Prerequisite: Approval of the Academic Head or nominee
Outline is not available yet
100
COMPSCI 710
: Directed Study2025 Semester One (1253)
Prerequisite: Approval of the Academic Head or nominee
Outline is not available yet