Computer Science 240 - Reasoning Under Uncertainty
Spring
2020
01AD
0.00
F 12:20PM 1:10PM
UMass Amherst
50498
Marston Hall room 132
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
https://spire.umass.edu
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.