Sixth Module : Artificial Intelligence

This module is about one of my most favourite area of interest: Artificial Intelligence (AI). Before the lesson began, I am excited that we will be using the famous AI text for our lectures, “Artificial Intelligence, A Modern Approach.” The text is written by top Computer Scientist in the AI arena, Peter Norvig, who currently works at Google and Stuart Russell, who currently is a professor at University of California, Berkeley, USA. The lecturer is Dr. Tat-Jun Chin, who also is involves in research in the area of Computer Vision and Machine Learning. The first half of the lecture class focus on search and game playing. Algorithms such as Best-first search, Greedy search, Uniform Cost Search, Mini-max and Alpha Beta Pruning are all being covered. There is also a discussion on heuristic strategies, enabling optimal search solutions. There are some topics on machine learning such as decision trees, classification using K-Nearest Neighbours algorithms etc. The second half of the lectures involve statistics and robotics. Bayesian network and Monte-Carlo simulation are being taught as well. The Robotics portion involves robot localisation using the partially observed markov decision process and other related algorithms. I think in this period of time where artificial intelligence and machine learning is getting very popular, I would strongly recommend taking this module.