CEE 790/890 CEE Experimental Methods

CEE 790/890: CEE Experimental Methods. Credit 3. Lecture 3 hours.

Prerequisite: MATH 207 and Permission of the instructor.

To provide students an overview of the statistical methods used in real-world environments; practical and proper statistical methods applicable to multidisciplinary engineering problems with an environmental engineering emphasis. Applied Statistics and Probability for Engineers, 2nd Ed., Douglas C. Montgomery and George C. Runger, John Wiley & Sons, 1999, ISBN 0-471-17027-5.

1. Statistics for Environmental Engineering, P. M. Berthouex, CRC Press, 1994.
2. SAS Procedure Guide. Version 6.3rd Ed., SAS Institute, 1990.

Jaewan Yoon, Assistant Professor of Civil and Environmental Engineering This course is designed to provide students an overview of the statistical methods used in real-world environments; practical and proper statistical methods applicable to multidisciplinary engineering problems with an environmental engineering emphasis.

1. Calculus
2. Discrete Mathematics
3. Concept of Programming language

1. Descriptive Statistics (3 classes)
2. Probability Distribution (3 classes)
3. Discrete Random Variables and Probability Distributions (2 classes)
4. Continuous Random Variables and Probability Distributions (2 classes)
5. Joint Probability Distributions, Interval Estimation (3 classes)
6. Test of Hypotheses (4 classes)
7. Linear Regressions and Correlation (3 classes)
8. Multiple Linear/Nonlinear Regressions (3 classes)
9. Analysis of Variance (4 classes)
10. Factorial Design (3 classes)
11. Nonparametric Statistics (3 classes)
12. Tests (3 classes)

1. Statistical Analysis Systems (SAS) software package from the ODU mainframe was heavily used for homework assignments.
2. Class materials were available from CEE website.

Experimental Design Term Project using SAS, Unix, spreadsheet and word processor

Engineering Science: 1.5 credits or 50%

Engineering Design: 1.5 credits or 50% Jaewan Yoon <yoon@cee.odu.edu>