Artificial Intelligence
Semester 1
An introduction to knowledge representation and problem solving for Artificial Intelligence, focused on the study and design of intelligent agents. An intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.
We will cover these specific topics: robotics, machine learning, artificial neural networks, classification and clustering, stochastic optimisation, genetic algorithms, probabilistic inference, Bayesian networks, hidden Markov models and speech recognition.