Back to Find Units Page

Unit of Study COMP6014 - Artificial Intelligence Application Development (2026)

Show me unit information for year

Unit Snapshot

  • Enrolment information

    N/A

Unit description

This advanced unit delves into the data processing pipeline, equipping students with sophisticated techniques for data analytics and machine learning applications. Students will explore advanced data pre-processing, feature engineering, model selection, and evaluation metrics, fostering the skills needed to design, implement, and critically evaluate machine learning solutions for complex real-world problems.

Unit content

Module 1:  Advanced data processing pipelines

Module 2:  Advanced data pre-processing and transformation techniques

Module 3:  Feature engineering, selection, and dimensionality reduction

Module 4:  Advanced machine learning for data analytics

Module 5:  Machine learning solution evaluation and optimisation

Module 6:  Best practices in data analytics and advanced case studies

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:

critically assess real-world problems to identify appropriate data analytics approaches

develop data preparation pipelines for data analytics problems

develop and evaluate advanced machine learning solutions for real-world problems

critically assess the outcomes of the data analytics process using data visualisation tools.