# UMassAmherst COMPSCI 240: Reasoning Under Uncertainty, Spring
2019

Development of mathematical reasoning skills for problems that
involve uncertainty. Each concept will be illustrated by real-world
examples and demonstrated through in-class and homework exercises.
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.

Prerequisites: COMPSCI 187 (or E&C-ENG 242) and MATH 132 or consent
of instructor. 4 credits.

## Instructors

Section 1: Nic Herndon

Section 2: Andrew S. Lan
## Schedule

MWF 9:05-9:55 AM
## Course Materials

Textbook: Introduction to Probability, 2nd Edition by Dimitri P. Bertsekas and John N. Tsitsiklis.

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