Artificial Intelligence (AI) is becoming an important part of software development. Neural networks and Deep Learning are the main contributors to the recent advances in applications of Artificial Intelligence. Deep Learning enables computers to learn complicated concepts by building them out of a hierarchy of simpler ones. Deep Learning techniques have been successfully applied to a broad field of applications such as computer vision, image and video recognition, natural language processing, and medical diagnosis. This unit introduces you to the fundamentals of Deep Learning and how it can solve problems in many areas. In this unit, you will learn the architecture of neural networks and algorithms, including the latest Deep Learning techniques. You will learn to develop conventional neural networks such as multilayer perceptrons, and convolutional neural networks. You will use software to train and deploy neural networks. You will also identify practical applications of Deep learning by exploring recent case studies.

Every unit is reviewed for enhancement each year. At the most recent review, the following staff and student feedback items were identified and recommendations were made.

Feedback from Student Feedback

The current weight of Assignment 3 (Applied Project) is 35%. This should be increased as it is a larger project.

We will evaluate and adjust assessments weight in the future offerings of the unit.

Feedback from Self-reflection

Large Language Models (LLMs) represent a key direction in the latest AI developments. Since COIT29225 is part of the AI minor, incorporating one week of content introducing LLMs seems essential.

We will add one week content (ppt file) of introduction of LLMs.