Mar 29, 2024  
Undergraduate Record 2010-2011 
    
Undergraduate Record 2010-2011 [ARCHIVED RECORD]

APMA 3100 - Probability


A calculus-based introduction to probability theory and its applications in engineering and applied science. Includes counting techniques, conditional probability, independence, discrete and continuous random variables, probability distribution functions, expected value and variance, joint distributions, covariance, correlation, the Central Limit theorem, the Poisson process, an introduction to statistical inference. Prerequisite: APMA 212 or equivalent.



Credits: 3