APMA 3100

Probability

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Course Description

A calculus-based introduction to probability theory and its applications in engineering and applied science. Includes counting techniques, conditional probability, independence, discrete and continuous random variables, probability distribution functions, expected value and variance, joint distributions, covariance, correlation, the Central Limit theorem, the Poisson process, an introduction to statistical inference. Students must have completed (APMA 2120 or MATH 2310 or MATH 2315) AND (CS 1110 or CS 1111 or CS 1112 or CS 1113 or successfully completed the CS 1110 place out test).


  • Jennifer Marley

     Rating

    4.89

     Difficulty

    2.33

     GPA

    3.51

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    Last Taught

    Spring 2024

  • Hui Ma

     Rating

    4.33

     Difficulty

    3.50

     GPA

    3.07

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    Fall 2025

  • Christian Hellings

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    4.00

     Difficulty

    4.50

     GPA

    3.20

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    Fall 2025

  • Meiqin Li

     Rating

    3.92

     Difficulty

    3.00

     GPA

    3.44

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    Last Taught

    Spring 2020

  • Thomas Baber

     Rating

    3.83

     Difficulty

    3.00

     GPA

    3.15

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    Last Taught

    Summer 2015

  • Deepyaman Maiti

     Rating

    3.83

     Difficulty

    3.50

     GPA

    3.14

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    Last Taught

    Spring 2025

  • Jundong Li

     Rating

    3.67

     Difficulty

    2.50

     GPA

    3.36

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    Last Taught

    Spring 2023

  • Cong Shen

     Rating

    3.33

     Difficulty

    4.00

     GPA

    3.01

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    Fall 2022

  • Megan Ryals

     Rating

    3.25

     Difficulty

    3.88

     GPA

    2.94

     Sections

    2

    Last Taught

    Spring 2026

  • Farzad Dizaji

     Rating

    3.17

     Difficulty

    2.50

     GPA

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    Last Taught

    Spring 2025

  • Bernard Fulgham

     Rating

    3.03

     Difficulty

    3.78

     GPA

    2.76

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    Last Taught

    Fall 2021

  • Gianluca Guadagni

     Rating

    2.10

     Difficulty

    4.10

     GPA

    2.64

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    Last Taught

    Fall 2011

  • Daria Snider

     Rating

    2.03

     Difficulty

    3.79

     GPA

    2.69

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    Spring 2017

  • Roman Krzysztofowicz

     Rating

    1.48

     Difficulty

    4.29

     GPA

    2.60

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    Last Taught

    Spring 2023

  • Rajinder Mavi

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    1.33

     Difficulty

    4.50

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    3.00

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    Spring 2014

  • Julia Spencer

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     Difficulty

     GPA

    3.16

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    Summer 2016

  • Radu Dascaliuc

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     Difficulty

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    2.51

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    Fall 2009

  • Todd Delong

     Rating

     Difficulty

     GPA

    2.96

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    Fall 2012

  • Joshua Choi

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     GPA

    3.56

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    Spring 2023

  • Faculty Staff

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    Spring 2022

  • Jie Lian

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    3.00

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    Spring 2019

  • Nikolaos Sidiropoulos

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     Difficulty

     GPA

    3.20

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    Fall 2020

  • Elsa Harris

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    2.75

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    Last Taught

    Spring 2017

  • To Announced

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    Fall 2024

  • Matthew McMillan

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    1

    Last Taught

    Spring 2026

  • Farzad Shafiei Dizaji

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    Spring 2025

  • Jing Yang

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     Sections

    1

    Last Taught

    Spring 2026