COMP3010

COMP3010: Machine Learning

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Which units require COMP3010?

No other unit in the catalogue lists COMP3010 as a prerequisite, so it is not a gateway to anything further.

What is COMP3010 about?

This unit introduces the foundational concepts, algorithms, and applications of Machine Learning (ML). Students will gain hands-on experience with diverse data types including tabular, image, text, and time series, and will learn to develop ML models such as linear models, SVM, decision trees, and neural networks. Covering a broad spectrum of topics within supervised and unsupervised learning, self-supervised learning, and deep learning, the unit also focuses on practical applications in computer vision and natural language processing, equipping students with the skills to implement ML solutions and solve real-world problems effectively.

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Unit details

Credits25

Contact Hours4 Weekly

Result TypeGrade/Mark

AreaSchool of Electrical Engineering, Computing and Mathematical Sciences (EECMS) (1153)

Field of Education020119 Artificial Intelligence

Handbook View Official Handbook Page →

How this unit is taught

Lecture1 x 2 hours weekly
Tutorial1 x 2 hours weekly

Prerequisites

PrerequisitesSelect One

COMP1002Data Structures and Algorithms
COMP1000Unix and C Programming
Unix and C Programming 120
Object Oriented Program Design 110