| |
Apr 25, 2024
|
|
|
|
|
AC 2303 - AS Lab I: Exam P Prep3 lecture hours 0 lab hours 3 credits
Course Description
In this course students will work on applications of general probabilty theory that they have studied in MA 2630 and MA 2631 in a lab setting. These applications include sets, mutually exclusive and independent events, conditional probability, the Law of Total Probability and Bayes’ Rule, various univariate and multivariate random variables, probability mass functions and density functions, mixed distributions, cumulative distribution and density functions, marginal probability functions, and moment-generating functions. (prereq: MA 2630 and MA 2631)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- use basic rules of probability
- concept of mutually exclusive events
- addition and multiplication rules
- concept of independent events
- concept of conditional probability
- Bayes’ theorem and law of total probability
- in application problems of these concepts
- The student should also be able to master problem solving related with:
- binomial, negative binomial
- geometric, hypergeometric
- Poisson
- uniform
- exponential
- normal
- gamma distributions
- Moreover, the student should also be able to solve problems of random variables with multivariate probability distribution, joint probability density function, joint cumulative distribution function, moment generating functions.
Prerequisites by Topic
- Strong knowledge of probability, random variables with univariate and multivariate probability distributions.
Coordinator
Yvonne Yaz
Add to Portfolio (opens a new window)
|
|
Skip to Main Content
