CS 2510 B (CRN: 15229)
Computer Science: Intro Artificial Intelligence
3 Credit Hours—Only 1 Seat Available, Register Soon!
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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
Section Description
An introduction to artificial intelligence including logic and rule based approaches, heuristic search, A*, IDA*, minimax, alpha/beta pruning, expectiminimax, Markov models and Markov decision processes (MDPs), decision tree, ensemble learning / random forest, the neural model and simple multi-layer perceptrons. Other topics, if any, may vary.
Section Expectation
Prior knowledge of material from CS 1640 Discrete Structures (or equivalent) and CS 2240 Data Structures and Algorithms. CS2240 prerequisite (but instructor permission not required)
Evaluation
Weekly quizzes, frequent active learning exercises, occasional homework (4--6 over semester), midterm and final.
Important Dates
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