Computer Science 240 - Reasoning Under Uncertainty
Fall
2021
01AA
F 1:25PM 2:15PM
UMass Amherst
12510
Flint Laboratory room 105
Development of mathematical reasoning skills for problems that involve uncertainty. Counting and probability -- basic counting problems, probability definitions, mean, variance, binomial distribution, discrete random variables, continuous random variables, Markov and Chebyshev bounds, Laws of large number, and central limit theorem. Probabilistic reasoning -- conditional probability and odds, Bayes' Law, Markov Chains, Bayesian Network, Markov Decision Processes.
Open to Computer Science majors only. MATH 132 or COMPSCI 187 w/ C
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.