The Intelligent Systems major offers courses on a wide range of relevant topics. Depending on the chosen courses, students will learn about Artificial Intelligence (AI) search, optimisation, reasoning, planning, diagnosis, machine learning and intelligent agents (reinforcement learning, information-theoretic foundations). This major provides a solid covering of the whole field of AI and Machine Learning from the foundational science to the implementation of large-scale practical intelligent systems, with applications in computer vision, language understanding and robotics.
Students will address questions on integrating human and social values in artificial intelligence systems, touching on aspects of philosophy, cognition, ethics and safety.
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
Relevant Degrees
Requirements
This major requires the completion of 48 units, which must consist of:
A minimum of 18 units of 3000-level courses.
The 48 units must consist of:
24 units from completion of the following compulsory courses:
COMP2620 Logic
COMP3620?Artificial Intelligence
COMP3670 Introduction to Machine Learning
COMP3600 Algorithms
AND
A minimum of 12 units from courses from the following list:
COMP4620?Advanced Topics in Artificial Intelligence
COMP4670?Statistical Machine Learning
COMP4680?Advanced Topics in Machine Learning
COMP4691 Optimisation
AND
A maximum of 18 units from courses from the following list:
COMP4528 Computer Vision
COMP4610 Computer Graphics
COMP4650 Document Analysis
Back to the top