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Sep 11, 2026
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ELEC 326 Probability and Random Processes F | 3.5
Lecture: 3
Lab: 0
Tutorial: 0.5
This course provides an introduction to probabilistic models and methods for addressing uncertainty and variability in engineering applications. Topics include sample spaces and events, axioms of probability, conditional probability, independence, discrete and continuous random variables, probability density and cumulative distribution functions, functions of random variables, and random processes.
Academic Units:
Mathematics 31
Natural Sciences 0
Complementary Studies 0
Engineering Science 11
Engineering Design 0
PREREQUISITE(S): APSC 171
EXCLUSION(S): MTHE 351 (STAT 351)
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