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Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
STAT 3341 (Overall) | |||||
STAT 3341 Huizhen Guo | |||||
STAT 3341 Zygmunt Haas | |||||
STAT 3341 Shengjie Jiang | |||||
STAT 3341 Octavious Smiley | |||||
Not teaching in Spring 2026 | |||||
STAT 3341 Noirrit Chandra | |||||
STAT 3341 Yulia Gel | |||||
STAT 3341 Kevin Lutz | |||||
STAT 3341 Tristan Whalen | |||||
Search Results
| Name | Grades | Rating | |||
|---|---|---|---|---|---|
STAT 3341 (Overall) | |||||
STAT 3341 Huizhen Guo | |||||
STAT 3341 Zygmunt Haas | |||||
STAT 3341 Shengjie Jiang | |||||
STAT 3341 Octavious Smiley | |||||
Not teaching in Spring 2026 | |||||
STAT 3341 Noirrit Chandra | |||||
STAT 3341 Yulia Gel | |||||
STAT 3341 Kevin Lutz | |||||
STAT 3341 Tristan Whalen | |||||
Probability and Statistics in Computer Science and Software Engineering
STAT 3341 (Same as CS 3341 and SE 3341)
School of Natural Sciences and Mathematics
Axiomatic probability theory, independence, conditional probability. Discrete and continuous random variables, special distributions of importance to CS/SE, and expectation. Simulation of random variables. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Introduction to stochastic processes. Illustrative examples and simulation exercises from queuing, reliability, and other CS/SE applications. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. 3 credit hours.
Prerequisites: (MATH 1326 or MATH 2414 or MATH 2419) with a grade of C or better, and MATH 2418 with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better.
Offering Frequency: Each semester
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
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Probability and Statistics in Computer Science and Software Engineering
STAT 3341 (Same as CS 3341 and SE 3341)
School of Natural Sciences and Mathematics
Axiomatic probability theory, independence, conditional probability. Discrete and continuous random variables, special distributions of importance to CS/SE, and expectation. Simulation of random variables. Central limit theorem. Basic statistical inference, parameter estimation, hypothesis testing, and linear regression. Introduction to stochastic processes. Illustrative examples and simulation exercises from queuing, reliability, and other CS/SE applications. Credit cannot be received for both courses, (CS 3341 or SE 3341 or STAT 3341) and ENGR 3341. 3 credit hours.
Prerequisites: (MATH 1326 or MATH 2414 or MATH 2419) with a grade of C or better, and MATH 2418 with a grade of C or better, and (CE 2305 or CS 2305) with a grade of C or better.
Offering Frequency: Each semester
This professor/course combination hasn't been taught in the semesters you selected. To see more grade data, try changing your filters.
Grades: 0
Median GPA: None
Mean GPA: None
Click a checkbox to add something to compare.