Machine Learning (COMP4702)
Information valid for Semester 1, 2023
Course level
Undergraduate
Faculty
Engineering, Architecture & Information Technology
School
Elec Engineering, Comp Science
Units
2
Duration
One Semester
Attendance mode
In Person
Class hours
Lecture 2 Hours/ Week
General contact hours 2 Hours/ Week
Incompatible
COGS4021 or COMP3700 or COMP7703 or ELEC4700 or ELEC7701
Prerequisite
(CSSE1001 or ENGG1001) and (MATH1051 or MATH1071) and (STAT1201 or STAT2003 or STAT2201 or STAT2202 or STAT2203)
Recommended prerequisite
COMP3702
Assessment methods
Written examination, assignments
Course enquiries
Study Abroad
This course is pre-approved for Study Abroad and Exchange students.
Current course offerings
| Course offerings | Location | Mode | Course Profile |
| Semester 1, 2025 (24/02/2025 - 21/06/2025) | St Lucia | In Person | Course Profile |
Please Note: Course profiles marked as not available may still be in development.
Course description
Machine learning is a branch of artificial intelligence concerned with the development & application of adaptive algorithms that use example data or previous experience to solve a given problem. Topics include: learning problems (e.g regression, classification, unsupervised, reinforcement) & theory, neural networks, statistical & probabilistic models, clustering, ensembles, implementation issues, applications (e.g. bioinformatics, cognitive science, forecasting, robotics, signal & image processing).
