# CEE 3040

### CEE 3040Uncertainty Analysis in Engineering

Course information provided by the Courses of Study 2024-2025.

Introduction to statistics and data analysis for engineers. Covers probability theory, discrete and continuous random variables, parametric probability distributions commonly used in engineering practice and research, point estimation, sampling distributions, confidence intervals, hypothesis testing, simple linear regression, and nonparametric statistics. Empirical examples from engineering problems are highlighted.

When Offered Fall.

Prerequisites/Corequisites Prerequisite: MATH 1910 and MATH 1920, or equivalents.

Distribution Category (MQL-AG, OPHLS-AG)

Outcomes
• Introduce students to the basic framework provided by probability theory for analyzing problems exhibiting variability and uncertainty.
• Introduce students to the basic methods and concepts employed in statistics to estimate the parameters of models, make decisions, and to describe uncertainty.
• Prepare students to be able to use statistical methods with confidence during their professional careers (perhaps after further study).
Syllabi: none
•   Regular Academic Session.  Choose one lecture and one discussion.

• 4 Credits Stdnt Opt

•  6501 CEE 3040   LEC 001

• TR Olin Hall 255
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  6502 CEE 3040   DIS 201

• R Hollister Hall 362
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  6955 CEE 3040   DIS 202

• R Hollister Hall 312
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  6505 CEE 3040   DIS 203

• T Hollister Hall 312
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  6503 CEE 3040   DIS 204

• R Hollister Hall 312
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  6504 CEE 3040   DIS 205

• T Upson Hall 102
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person

•  9667 CEE 3040   DIS 206

• R Hollister Hall 312
• Aug 26 - Dec 9, 2024
• Typaldos, P

• Instruction Mode: In Person