About CS 2510 B

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 both Degree and PACE students

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