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CS 64201 - ADVANCED ARTIFICIAL INTELLIGENCE |
(Slashed with CS 74201) Advanced topics in AI such as Nature inspired meta-heuristics and their applications in real-world optimization problems; Bayesian networks and probabilistic reasoning over time with applications; Utility theory and decision networks and their applications; game theory and multi-agent systems and their applications; Advanced learning theory such as statistical learning, reinforced learning, probabilistic learning, deep convolution neural network, recurrent neural network, Long Short-term Memory (LSTM), transfer learning, federated learning, transformers, and their application to vision and speech understanding; introduction to object recognition, scene analysis and object tracking; introduction to speech understanding; Context-based discourse and conversation analysis; multi-modal emotion recognition. Prerequisite: Graduate standing.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate Schedule Types: Lecture Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Graduate |
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