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.
Intro Artificial Intelligence
Host University
George Mason University
Semester
Fall 2024
Course Number
CS 580 DL1
Credits
3
Discipline
Computer Science
Instructor
Yuan, Eric (eyuan@gmu.edu)
Times and Days
Asynchronous
Course Information
Prerequisites
CS 310 and CS 330.