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"If you can't explain it simply, you don't understand it well enough." — Albert Einstein
Artificial Intelligence in the Real World
This course examines AI’s role across sectors like Law and Health. Participants explore system development, decipher technical jargon, and evaluate ethical risks. Through interactive tools, the unit highlights AI’s capabilities, fairness, and utility.
Reinforcement Learning and Optimal Control
Robots are autonomous systems that rely on a variety of control technologies. This unit provides understanding of key concepts in optimal control and reinforcement learning concepts for use in the design of robotic systems.
Data Analytics and Optimisation
Engineers must understand data patterns and characteristics to transform vast datasets into actionable information. This unit develops expertise in advanced data analytics and optimization to improve the economy and efficiency of systems and enterprises.
Machine Learning
This unit provides a broad introduction to machine learning and its statistical foundations. Topics include classification, dimensionality reduction, and deep learning. Students use Python and Git to address ethical implications and computational costs.
Artificial Intelligence
This foundational unit introduces AI basics, from Intelligent Search to Machine Learning. It covers state representations, heuristic search, and probabilistic reasoning, equipping students to formalize problems for graduate-level engineering roles.