CEE 790/890
CEE Experimental Methods

Department of Civil and Environmental Engineering Kaufman Hall Room 135 Frank Batten College of Engineering and Technology Old Dominion University Norfolk, Virginia 23529-0241, USA Tel) (757) 683-3753 Fax) (757) 683-5354
Catalog Data
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.
Textbook(s) and/or Other Required Material
Applied Statistics and Probability for Engineers, 2nd Ed., Douglas C. Montgomery and George C. Runger, John Wiley & Sons, 1999, ISBN 0-471-17027-5.
Reference
  1. Statistics for Environmental Engineering, P. M. Berthouex, CRC Press, 1994.
  2. SAS Procedure Guide. Version 6.3rd Ed., SAS Institute, 1990.
Coordinator
Jaewan Yoon, Assistant Professor of Civil and Environmental Engineering
Goals
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.
Prerequisites by topic
  1. Calculus
  2. Discrete Mathematics
  3. Concept of Programming language
Topics Covered
  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)
Computer Applications
  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.
Laboratory projects
Experimental Design Term Project using SAS, Unix, spreadsheet and word processor
Estimated ABET Category Content
Engineering Science: 1.5 credits or 50%
Engineering Design: 1.5 credits or 50%
Prepared by
Jaewan Yoon <yoon@cee.odu.edu>