The Advanced Intelligent Systems major offers courses on a wide range of relevant topics. Students will learn about Artificial Intelligence (AI) search, optimisation, reasoning, planning, diagnosis, machine learning, intelligent agents (reinforcement learning, information-theoretic foundations), and bio-inspired computing (neural networks, and evolutionary algorithms). This major provides a solid covering of the whole field of AI.
Learning Outcomes
- Demonstrate a solid understanding of a variety of Intelligent Systems approaches.
- Formalise real-world problems and select the most appropriate Intelligent Systems method to solve such a problem.
- Implement Intelligent Systems algorithms and design and carry out empirical evaluations.
- Compare and critique essential state-of-the-art Intelligent Systems approaches.
Other Information
This Major is incompatible with the Intelligent Systems major; Artificial Intelligence (UG) Specialization; and Machine Learning (UG) Specialization.
Relevant Degrees
Requirements
This major requires the completion of 48 units from the following list:
COMP2620 - Logic
COMP3670 - Introduction to Machine Learning
COMP3620 - Artificial Intelligence
COMP4528 - Computer Vision
COMP4620 - Advanced Topics in Artificial Intelligence
COMP4650 - Document Analysis
COMP4660 - Neural Networks, Deep Learning and Bio-inspired Computing
COMP4670 - Statistical Machine Learning
COMP4680 - Advanced Topics in Machine Learning
COMP4691 - Optimisation
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