Computer Science 240 - Reasoning Under Uncertainty
Spring
2023
01AD
F 12:20PM 1:10PM
UMass Amherst
59863
Engineering Laboratory rm 304
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. COMPSCI187/CICS160&MATH132w/C
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.