CS 2510 A (CRN: 14165)
Computer Science: Intro Artificial Intelligence (A)
3 credit hours
About CS 2510 A
An introduction to artificial intelligence including logic and rule-based approaches, heuristic search, A*, IDA*, minimax, alpha/beta pruning, expectiminimax, Markov models and MDPs, decision tree, ensemble learning / random forest, the neural model and simple multi-layer perceptrons. Other topics, if any may vary. Prerequisite: C- or better in CS 2240.
Notes
Prereqs enforced by the system: CS 2240; Open to Degree and PACE students System waitlisting enabled for this section.
Section Description
Introduction to foundations and history of AI, from origins and logic programming to neural networks. Includes logic programming with Prolog, knowledge representation, heuristic search (A* and IDA*), adversarial games with minimax, alpha-beta pruning, and expectiminimax, Markov models and Markov decision processes, decision trees, ensemble learning with random forest, the neural model and simple multilayer perceptrons.
Evaluation
In class quizzes and active learning exercises, homework, midterm and final exams, in class discussion of selected papers.
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Resources
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