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Introduces fundamental ideas of probability, the theory of randomness. Focuses on problem solving and understanding key theoretical ideas. Topics include sample spaces, counting, random variables, classical distributions, expectation, Chebyshev's inequality, independence, central limit theorem, conditional probability, generating functions, joint distributions. Strongly recommended: MATH 2310
4.33
2.00
3.86
—
Spring 2021
1.67
3.00
3.54
—
Spring 2023
3.79
2.38
3.51
—
Summer 2022
—
—
3.49
—
Spring 2013
—
—
3.49
—
Fall 2022
3.97
3.27
3.39
—
Summer 2025
—
—
3.34
—
Spring 2016
2.22
3.67
3.34
—
Fall 2021
—
—
3.30
—
Fall 2014
5.00
2.00
3.25
—
Spring 2024
—
—
3.24
—
Fall 2011
2.11
4.33
3.22
—
Spring 2020
3.78
4.00
3.22
—
Fall 2013
3.44
3.00
3.18
2
Fall 2025
—
—
3.05
—
Fall 2010
—
—
3.05
—
Fall 2012
1.00
4.50
2.97
—
Summer 2023
3.09
4.27
2.90
—
Spring 2023
3.17
3.33
2.86
—
Fall 2015
2.11
3.00
2.86
—
Fall 2017
2.67
3.50
2.86
—
Summer 2014
—
—
2.81
—
Summer 2017
—
—
2.63
—
Fall 2015
—
—
2.48
—
Fall 2011
—
—
—
—
Summer 2020
3.00
3.33
—
—
Fall 2016
—
—
—
—
Summer 2024
2.33
4.50
—
—
Spring 2019
2.67
4.00
—
—
Spring 2025
—
—
—
—
Summer 2025
—
—
—
1
Fall 2025
—
—
—
—
Fall 2024
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