Computer Vision and Multimodal Machine Learning

Postgraduate | 2026

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Area/Catalogue
COMP 6001
Course ID icon
Course ID
201668
Level of study
Level of study
Postgraduate
Unit value icon
Unit value
6
Course level icon
Course level
2
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Inbound study abroad and exchange
Inbound study abroad and exchange
The fee you pay will depend on the number and type of courses you study.
Yes
University-wide elective icon
University-wide elective course
Yes
Single course enrollment
Single course enrolment
Yes
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Note:
Course data is interim and subject to change

Course overview

This course is about extracting useful information from visual data, and developing learning algorithms that combine diverse datasets (e.g. images, text, audio) to improve models. It covers the fundamental mathematics for the underlying data structures and algorithms, as well as implementation and applications to real-world datasets.

Course learning outcomes

  • Describe modern computer vision techniques and connect it with the underlying mathematical principles
  • Demonstrate an understanding of how deep learning is used to solve problems in computer vision
  • Demonstrate skills in deploying computer vision using computer programming of both traditional and modern techniques
  • Apply mathematical techniques as well as machine learning to solve a variety of problems related to computer vision at an appropriate level of difficulty
  • Demonstrate skills in communicating about computer vision using mathematics and statistical approaches, including visualisation

Prerequisite(s)

N/A

Corequisite(s)

N/A

Antirequisite(s)

N/A