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| Math 309 Probability |
| Catalog Data |
This course considers fundamental topics in probability with applications in engineering and science. Topics are selected from: basics concepts in probability, random variables, expectation, variance, covariance, moment generating functions, common distributions such as binomial, hypergeometric, Poisson, geometric, uniform, normal, exponential, chi-square, t and F distributions, probability models, central limit theorem and functions of a random variable, bivariate, marginal, and conditional distributions. Offered in the Fall semester. Prerequisite: Math 232. One semester; three credits |
| Textbook |
Introduction to Probability, 2nd Revised Edition by Grinstead and Snell, American Mathematical Society, 1997. |
| Prerequisites |
You must have skills in problem solving and calculus, including multivariable calculus. |
| Goals |
This course provides a foundation in probability that will allow you to solve applied problems in engineering and science. |
| Calculator Policy |
You must use a graphing calculator, such as the TI-89, on assignments and occasionally on tests. |
| Software |
You will use Maple. |
| Topics |
Axioms of Probability
Combinatorial Methods
Conditional Probability and Independence
Distribution Functions and Discrete Random Variables
Special Discrete Distributions
Continuous Random Variables
Special Continuous Distributions
Multivariate Distributions
More Expectations and Variances
Moment Generating Functions and Limit Theorems |
| Final Exam |
The final exam is comprehensive. |
| Attendance |
You must attend class regularly. |
| Course instructor webpage |
Cathy Carter |
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Academics