Computer Science 240 - Reasoning Under Uncertainty

Fall
2013
01
4.00
Benjamin Marlin

M W F 2:30PM 3:20PM

UMass Amherst
31772
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-ON-CONTRACT, AND OTHERS NOT MEETING ELIGIBILITY, OR STUDENTS NEEDING SPECIAL PERMISSION MUST REQUEST OVERRIDES VIA THE ON-LINE FORM: https://www.cs.umass.edu/ugrad-education/courses
Multiple required components--lab and/or discussion section. To register, submit requests for all components simultaneously.
Permission is required for interchange registration during the add/drop period only.
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