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Unit of Study COMP3004 - Developing Artificial Intelligence Applications (2026)

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Unit Snapshot

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Unit description

This unit offers a comprehensive skillset of the data processing pipeline, focusing on essential techniques for data analytics and machine learning applications. Students will explore the stages of data pre-processing, feature engineering, and wrangling, equipping them with the skills needed to design and implement machine learning solutions.

Unit content

Module 1:  Introduction to the data processing pipeline

Module 2:  Data pre-processing

Module 3:  Feature engineering and wrangling

Module 4:  Machine learning for data analytics

Module 5:  Machine learning solution evaluation

Module 6:  Data analytics best practise and case study

Availabilities

Not currently available in 2026

Learning outcomes

Unit Learning Outcomes express learning achievement in terms of what a student should know, understand and be able to do on completion of a unit. These outcomes are aligned with the graduate attributes. The unit learning outcomes and graduate attributes are also the basis of evaluating prior learning.

On completion of this unit, students should be able to:

analyse real-world problems and apply contemporary data analytics tools

implement and analyse pipeline(s) for data preparation

design, implement, and evaluate machine learning solutions

perform data visualisations and analyse the results and insights.