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Oct 13, 2024
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MATH 3030U – Introduction to Probability Theory This course provides an elementary introduction to the mathematical theory of probability using a problem-solving approach and its role in applied mathematics. Introduction to probability spaces, combinatorial analysis, inclusion-exclusion, conditional probability, independence, random variables, expectation, discrete and continuous distributions, and limit theorems. Additional topics may include: Markov chains, simulation techniques, coding theory and entropy. Credit hours: 3 Lecture hours: 3 Prerequisite(s): (MATH 1850U or MATH 2050U ) and (STAT 2010U or STAT 2020U or STAT 2800U )
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