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5.0
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1,000
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99%
Would take again
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 4354 Shengjie Jiang | |||||
B+ | |||||
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| Name | Grades | Rating | |||
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Not teaching in Spring 2026 | |||||
STAT 4354 Shengjie Jiang | |||||
B+ | |||||

Grades: 1,833
Median GPA: B
Mean GPA: 2.859
2.1
Professor rating
4
Difficulty
47
Ratings given
28%
Would take again
Numerical and Statistical Computing
STAT 4354
School of Natural Sciences and Mathematics
Solving linear and nonlinear equations; numerical differentiation and integration; optimization; Newton-Raphson and EM algorithms; QR, Cholesky, eigenvalue, and singular value decompositions; random number generation; Monte Carlo methods; Markov chain Monte Carlo methods; bootstrap and jackknife; power analysis and sample size determination; and use of a statistical software package such as R. 3 credit hours.
Prerequisites: (MATH 2451 or MATH 3351) and STAT 4351, or instructor consent required.
Offering Frequency: Each year
Grades: 243
Median GPA: A-
Mean GPA: 3.360
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Grades: 1,833
Median GPA: B
Mean GPA: 2.859
2.1
Professor rating
4
Difficulty
47
Ratings given
28%
Would take again
Numerical and Statistical Computing
STAT 4354
School of Natural Sciences and Mathematics
Solving linear and nonlinear equations; numerical differentiation and integration; optimization; Newton-Raphson and EM algorithms; QR, Cholesky, eigenvalue, and singular value decompositions; random number generation; Monte Carlo methods; Markov chain Monte Carlo methods; bootstrap and jackknife; power analysis and sample size determination; and use of a statistical software package such as R. 3 credit hours.
Prerequisites: (MATH 2451 or MATH 3351) and STAT 4351, or instructor consent required.
Offering Frequency: Each year
Grades: 243
Median GPA: A-
Mean GPA: 3.360
Click a checkbox to add something to compare.