Feb 22, 2024  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]

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MATH 411A - Probability Theory


Description:
Principal topics include: combinatorial theory, conditional probability, random variables, expectation and moments, generating functions, various discrete and continuous distributions, law of large numbers, central limit theorem.

Prerequisites:
Prerequisite: MATH 273 with a grade of C or higher.

Credits: (4)

Learner Outcomes:
Upon successful completion of this course, the student will be able to:

  • Solve problems involving basic combinatorics.
  • Use the axioms of probability.
  • Compute conditional probabilities and use them to examine independence of events.
  • Describe and use discrete and continuous random variables and their distributions, including multivariate and marginal and conditional distributions.
  • Compute and use expectations of random variables, moments, moment generating functions, and conditional expectations.

Learner Outcomes Approval Date:
12/20/07

Anticipated Course Offering Terms and Locations:



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