Cognitive Science 0263 - Artificial Intelligence

This course exposes students to several major artificial intelligence (AI) techniques. For each of these techniques we start by looking at basic definitions and theoretical considerations, followed by looking at open source software packages that implement the AI approach, and then how to use these software packages for decision-making steps within larger applications. Techniques we look at include: searching, decision trees, artificial neural networks, evolutionary computation, Hidden Markov Models, and Naive Bayes Classifiers. By the end of the semester, successful students understand the theoretical foundations of each approach, and are equipped to correctly choose which approach to use for different needs. Prerequisite: a semester of college level programming

Independent Work Quantitative Skills In this course, students are expected to spend at least six to eight hours a week of preparation and work outside of class time. This time includes reading, writing, research.