Probability

An introduction to the concepts of probability and their applications, covering both discrete and continuous random variables. Probability spaces, elementary combinatorial analysis, densities and distributions, conditional probabilities, independence, expectation, variance, weak law of large numbers, central limit theorem, and numerous applications. (Concurrent or prior: MATH 0223 or MATH 0224) 3 hrs. lect./disc.

Schedule
11:15am-12:05pm on Monday, Wednesday, Friday (Sep 14, 2026 to Dec 14, 2026)
Location
75 Shannon Street 203
Instructors