Northwestern University 1 credit Computer Science
Study of algorithms that improve through experience. Topics typically include Bayesian learning, decision trees, genetic algorithms, neural networks, Markov models, and reinforcement learning. Assignments include programming projects and written work. Prerequisites: COMP_SCI 214; GEN_ENG 150-0 or GEN_ENG 151-0; GEN_ENG 205-1, GEN_ENG 206-1, GEN_ENG 241-0, or MATH 240-0; GEN_ENG 231-0, IEMS 201-0, IEMS 303-0, ELEC_ENG 302-0, STAT 210-0, MATH 310-1 (or COMP_SCI grad standing).
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