Nov 22, 2024  
2020-2021 Academic Catalog 
    
2020-2021 Academic Catalog [Published Catalog]

Add to Portfolio (opens a new window)

MACT 317/3224 - Probability and Statistics (3 cr.)



Prerequisites
  or concurrently

Description
A course in probability and statistics designed for computer science and engineering students. Probability is used to construct parametric models that often arise in computer science and engineering problems. Statistics is then used to estimate the parameters of these models based on available data, check the adequacy of the fitted models, and test specific hypotheses. Topics include random variables and their probability distributions including uniform, binomial, geometric, Poisson, normal, and exponential distributions; expected value of functions of random variables; stochastic simulation; sampling distributions; maximum likelihood and least squares methods of estimation; statistical inference including hypothesis testing and interval estimation.

When Offered
Offered in fall and spring.
Notes
Students can neither take both MACT 3211  and MACT 3224 for credit nor can they take both MACT 3223  and MACT 3224 for credit.


Check course scheduling information




Add to Portfolio (opens a new window)