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CUHK

CSCI3230 Fundamentals of Artificial Intelligence

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Course Reviews on CSCI3230 Fundamentals of Artificial Intelligence

Shared by Anonymous

2018-08-25

Professor: LEUNG, Kwong-Sak


Course Description
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.
Assessment
Assignments

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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Shared by Anonymous

2018-08-25

Professor: LEUNG, Kwong-Sak


Course Description
AI course
Assessment
see above
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: LEUNG, Kwong-Sak


Course Description
A*search

minimax

alpha beta pruning
Assessment
written hw 5%

program hw10%

project 20%

lab 10%

exam 55%
Grading
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Teaching Skills & Others
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Shared by Anonymous

2018-08-25

Professor: LEUNG, Kwong-Sak


Course Description
Haven't taken it yet. I'm an exchange student looking to get more info on courses and regcourse is making me do this....
Assessment
see above
Grading
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Shared by Anonymous

2018-08-25

Professor: LEUNG, Kwong-Sak


Course Description
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。
Assessment
10% Prolog Assignment 5% Written Assignment 15% Lab 20% Neural Network Project 50% Final
Grading
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Teaching Skills & Others
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