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Aug 11, 2026
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MTHE 351 Probability I F | 3.5
Lecture: 3
Lab: 0
Tutorial: 0.5
This course is a PREREQUISITE for theoretical statistics courses and further courses in probability and stochastic processes. Basic probability theory: probability models; discrete and continuous random variables; moments; jointly distributed random variables; transformations and generating functions. Inequalities and limit laws. Distributions include: binomial, Poisson, exponential, gamma, normal. Applications include: elementary stochastic processes, time-to-failure models, binary communication channels with Gaussian noise.
Academic Units:
Mathematics 42
Natural Sciences 0
Complementary Studies 0
Engineering Science 0
Engineering Design 0
COREQUISITE(S): MTHE 280
EXCLUSION(S): STAT 251
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