Probability and Random Processes: Honors
Examine probability, random variables, statistics, and random processes, including counting, independence, conditioning, expectation, density functions, distributions, law of large numbers, central limit theorem, confidence intervals, hypothesis testing, statistical estimation, stationary processes, Markov chains, and ergodicity. Only one of the following may be counted: Electrical and Computer Engineering 351H, 351K, Electrical Engineering 351K. Three lecture hours a week for one semester.
Prerequisites & course information
Examine probability, random variables, statistics, and random processes, including counting, independence, conditioning, expectation, density functions, distributions, law of large numbers, central limit theorem, confidence intervals, hypothesis testing, statistical estimation, stationary processes, Markov chains, and ergodicity. Only one of the following may be counted: Electrical and Computer Engineering 351H, 351K, Electrical Engineering 351K. Three lecture hours a week for one semester.
Sources
- Course catalogue ↗2026-2027