Jun 01, 2020  
2016-2017 Faculty of Engineering and Applied Science Calendar-ARCHIVED 
    
2016-2017 Faculty of Engineering and Applied Science Calendar-ARCHIVED [ARCHIVED CATALOG]

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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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