# CEE 3040

### CEE 3040Uncertainty Analysis in Engineering

Course information provided by the Courses of Study 2022-2023.

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.

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:
•   Regular Academic Session.  Choose one lecture and one discussion.

•  9014 CEE 3040   LEC 001

• TR To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

•  9015 CEE 3040   DIS 201

• R To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

•  9547 CEE 3040   DIS 202

• R To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

•  9018 CEE 3040   DIS 203

• T To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

•  9016 CEE 3040   DIS 204

• R To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

•  9017 CEE 3040   DIS 205

• T To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person

• 19254 CEE 3040   DIS 206

• R To Be Assigned
• Aug 22 - Dec 5, 2022
• Daziano, R

• Instruction Mode: In Person