FIT2111 Symbolic artificial intelligence and machine learning

This unit covers the concepts of intelligent agents and delves into problem-solving and search techniques, including problem representation, heuristic search, and adversarial search. You will learn about knowledge representation and reasoning, focusing on propositional and first-order logic for AI applications, as well as planning. You will also engage with a variety of machine-learning techniques, including data representation, unsupervised and supervised learning and reinforcement learning. The curriculum also addresses the selection of appropriate model complexity tailored to specific problems and datasets. Through problem-based learning activities, you will apply these techniques to real-world scenarios and examine ethical considerations in AI.