AI Technologies

Module code: CO3108

The aim of this module is to provide a technical introduction to AI (Artificial Intelligence) technologies. This focuses on the computational aspects of AI, by providing a practical introduction to the subject through a series of plug-and-play mini-projects, supported by theoretical lectures and seminars. Each topic addresses an elementary level, but still aiming to achieve concrete skills by studying and implementing practical algorithms.

Topics covered

• the history and philosophy of AI (briefly)
• problem solving using graphs
• games (minimax algorithm, alpha-beta pruning, heuristic evaluation)
• logic in AI (briefly)
• knowledge representation and belief updating using probability (Bayes theorem, tree and graph traversal and search algorithms )
• expert systems
• supervised machine learning (nearest neighbour classifier, naive Bayes)
• neural networks (kinds of neural network, perceptron algorithm)
• natural language processing (sentence parsing, word disambiguation)
• visioning
• agents and robotics (sensors, actuators, challenges in operating in the real world)