| |
Sep 16, 2026
|
|
|
|
|
MTHE 351 Probability I F | 3.5
Lecture: 3
Lab: 0
Tutorial: 0.5
Probability theory: probability models; random variables; jointly distributed random variables; transformations and generating functions. Inequalities and limit laws. Distributions: binomial, Poisson, exponential, gamma, normal. Applications: 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
Add to Portfolio (opens a new window)
|
|
