MATH 323 — Probability

Sample space, events, conditional probability, independence of events, Bayes' Theorem. Basic combinatorial probability, random variables, discrete and continuous univariate and multivariate distributions. Independence of random variables. Inequalities, weak law of large numbers, central limit theorem.

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• Difficulty: 3.51 out of 5
• Credits: 3
• Faculty: Faculty of Science
• Department: Mathematics and Statistics
• Taught by: Alia Sajjad
• Prerequisites: MATH 141 or equivalent.

Sections offered

• Section 001 (Lec), Tue Thu 10:05-11:25 am — 78 seats open
• Section 002 (Lec), Tue Thu 1:05-2:25 pm — 55 seats open