MATH 5003 — Accelerated Probability and Statistics
2 semester hoursGraduateLecture
Offers an intensive exploration of probability and statistics including both theoretical concepts and practical applications. Covers discrete and continuous random variables, probability distributions, expectation and variance, central limit theorem, estimation theory, maximum likelihood estimation, and hypothesis testing. Includes applications to machine learning and solving real-world problems.