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CATALOG DESCRIPTION: This is an introductory course on the fundamentals of computer programming. I see this class as an opportunity for you, the student, to see what computer programming is all about and (more importantly) to see whether you want to spend the next few years doing more of it. This co...
CATALOG DESCRIPTION: Core techniques and applications of artificial intelligence. Representation retrieving and application of knowledge for problem solving. Hypothesis exploration, theorem proving, vision and neural networks.
REQUIRED TEXTBOOK : Russell & Norvig , Artificial Intelligen...
CATALOG DESCRIPTION: Probabilistic graphical models are a powerful technique for handling uncertainty in machine learning. The course will cover how probability distributions can be represented in graphical models, how inference and learning are performed in the models, and how the models are utili...
Catalog Description: This course covers the fundamentals of Internet search engines, including Web crawlers, inverted indices, hyperlink analysis, and relevance ranking. Also covered are advanced topics including information extraction for knowledge base construction, question answering, s...
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Computer Science course tags
