The Artificial Intelligence specialisation provides advanced preparation in contemporary artificial intelligence across its symbolic and learning-based traditions, covering logic-based reasoning, search, planning and optimisation, statistical and deep learning, computer vision and document analysis. The specialisation develops the synthesis, critical appraisal and methodological confidence required of advanced AI practitioners and researchers, and prepares graduates to engage with, and contribute to, current research.
Learning Outcomes
- Apply advanced methods of artificial intelligence across symbolic and/or learning-based traditions.
- Formalise complex real-world problems mathematically and select and justify appropriate AI methods.
- Design, implement and empirically evaluate AI algorithms.
- Critically analyse state-of-the-art AI methods and the ethical, social and data-related implications of their use.
- Integrate state-of-the-art AI research with current industry trends to identify open problems and emerging frontiers.
Other Information
This specialisation is only available to students studying MCOMP and VCOMP.
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This Specialisation requires the completion of 24 units, which must include a minimum of 12 units of 8000-level courses.
A maximum of 12 units from the following list:
COMP6262 Logic
COMP6320 Artificial Intelligence
COMP6242 Deep Learning
COMP6490 Document Analysis
COMP6670 Introduction to Machine Learning
COMP6528 Computer Vision
A minimum of 12 units from the following list:
COMP8539 Advanced Topics in Computer Vision
COMP8600 Statistical Machine Learning
COMP8620 Advanced Topics in Artificial Intelligence
COMP8650 Advanced Topics in Machine Learning
COMP8691 Optimisation
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