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The Chinese University of Hong Kong
就是基礎的AI課，講大量的agent concept，modeling problem by searching，A* search, tree-pruning, neural network, information theory。lecture講的東西只會在final考，平常的tutorial一定要都，因為assignment/project都是在tutorial講。
10% Prolog Assignment 5% Written Assignment 15% Lab 20% Neural Network Project 50% Final
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alpha beta pruning
written hw 5%
Basic concepts and techniques of artificial intelligence. Knowledge Representation: predicate logic and inference, semantic networks, scripts and frames, and object-oriented representation. Searching: such as A*, hill-climbing, minimax, and alpha-beta pruning. Computer Learning. Neural Networks: learning algorithms, neural architecture and applications. Knowledge Acquisition and Expert Systems: properties, techniques, and tools of expert systems.
Written assignments (5%)
Programming assignments (10%)
Data mining Laboratory (10%)
Course project (20 %)
Final examination (55%) **MUST get at least 40 out of 100 marks in the final examination to pass the course.
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