MATH 4510 - Introduction to Probability Theory Course

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Overview

description

• Studies axioms, combinatorial analysis, independence and conditional probability, discrete and absolutely continuous distributions, expectation and distribution of functions of random variables, laws of large numbers, central limit theorems, and simple Markov chains if time permits. Degree credit not granted for this course and APPM 3570 or ECEN 3810 or MATH 3510. Same as MATH 5510.

instructor(s)

• Bronstein, Albert  
  Primary Instructor - Fall 2018 / Spring 2019 / Fall 2021 / Spring 2023
• Elliott, Peter D  
  Primary Instructor - Fall 2018
• Grant, David R  
  Primary Instructor - Fall 2019
• Kuznetsov, Sergei E.  
  Primary Instructor - Fall 2019 / Fall 2021 / Spring 2022 / Fall 2022 / Fall 2023 / Fall 2024
• Luh, Kyle  
  Primary Instructor - Fall 2020 / Spring 2024
• Nguyen, Nhan Du Vi  
  Primary Instructor - Spring 2024 / Fall 2024
• Stade, Eric  
  Primary Instructor - Fall 2024
• Timmer, Joseph Benjamin  
  Primary Instructor - Spring 2018 / Summer 2018 / Spring 2019 / Summer 2019 / Fall 2019 / Spring 2020 / Summer 2020 / Summer 2021 / Summer 2023 / Summer 2024