CMPSCI 240: Reasoning About Uncertainty-2013
Semester: Fall
Offered: 2013
- Course Description: Development of mathematical reasoning skills for problems that involve uncertainty. Each concept will be illustrated by real-world examples and demonstrated though in-class and homework exercises, some of which will involve Java programming. Counting and probability — basic counting problems, probability definitions, mean, variance, binomial distribution, Markov and Chebyshev bounds. Probabilistic reasoning — conditional probability and odds, Bayes’ Law, Naive Bayes classifiers, Monte Carlo simulation. Markov chains, Markov decision processes, classical game theory, introduction to information theory. This is a core course for the new CMPSCI curriculum and may be used as a math elective for the old curriculum. Prerequisites: CMPSCI 187 (or ECE 242) and MATH 132 or consent of instructor. 4 credits.
- Course Text: Bertsekas and Tsitsiklis. Introduction to Probability, 2nd Edition
- Course Website: The course website will be hosted on the UMass Moodle portal. Registered students will be able to access it here.