FIT2131 · Practical artificial intelligence application and development

Overview

In this unit, you will develop a foundational understanding of key Artificial Intelligence paradigms, from early symbolic approaches to modern machine learning and deep learning. You will examine how historical efforts to build intelligent machines have reshaped our understanding of what “intelligence” means, alongside the ethical questions these shifts raise. You will explore a range of AI applications, such as game-playing systems, chatbots, recommender systems, and robotics, while analysing their capabilities, limitations, and explainability. Through guided hands-on activities, you will build a small AI system using contemporary tools and critically consider issues of bias, governance, and responsible AI use.

Offerings

Assessment

The Handbook publishes no assessment items for this unit yet.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

Learning outcomes

1. Apply governance principles to scope appropriate uses of AI, identify risks and mitigations, and justify responsible deployment decisions;
2. Select and use suitable AI methods and tools to construct an end-to-end prototype that makes clear its assumptions and evaluation criteria;
3. Use AI-assisted development workflows to support implementation, testing and documentation while maintaining transparency and oversight;
4. Implement, evaluate and refine AI algorithms and components in code, integrating libraries and services to meet defined functional and non-functional requirements.

Workload

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Student experience, not official rules. Nothing here changes what the Handbook says.