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ELEC 326 Probability & Random Processes Units: 3.50
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.
(Lec: 3, Lab: 0, Tut: 0.5)
(Lec: 3, Lab: 0, Tut: 0.5)
Offering Term: F
CEAB Units:
Mathematics 31
Natural Sciences 0
Complementary Studies 0
Engineering Science 11
Engineering Design 0
Offering Faculty: Smith Engineering
Course Learning Outcomes:
- Describe different types of random variables and identify important distributions.
- Discuss the law of large numbers and asymptotic behaviours, and the concept of information and entropy.
- Characterize and identify distribution of functions of multiple random variables and well-known random and point processes.
- Apply probability theory for modeling uncertainties involved in engineering problems.
- Solve problems involving probably with conditional probabilities.
- Calculate different statistics of random variables by manipulating one and two random variables and working with joint distributions.