Computer Science 240 - Reasoning Under Uncertainty
Fall
2012
01
4.00
Benjamin Marlin
M W F 11:15AM 12:05PM
UMass Amherst
73796
Mathematical methods for dealing with uncertainty. Basic counting problems. Discrete probablitlity, expected value and variance. Random number generators and Monte Carlo simulation. Bayesian reasoning, naive Bayes classifiers. Markov processes. Programming projects.
Open to Computer Science majors only. PreReq:CMPSC187/ECE242&MATH CMPSCI Minors, applicants and others not meeting eligibility may contact CS main office for override options.
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.