Introduction to Artificial Intelligence. 3 credits

Catalog description

Artificial Intelligence principles and methods. Topics will include uninformed search, informed search, adversarial search, probabilistic reasoning and models, Bayes networks, machine learning fundamentals, classification and clustering, and neural networks. Additional topics may include knowledge representation, constraint satisfaction search, agent architectures, and Markov decision problems, among others. Offered by Computer Science . May not be repeated for credit.