CVEN 3290 – Engineering Probability and Statistics

      Fall, 2005

 

 

2006-2008 Catalog Data:      CVEN 3290: Engineering Probability and Statistics. Credit 2. Principles of system analysis utilized for solving civil engineering problems. Application of probability, statistics and regression analysis to the engineering design processes. Specific examples in civil and environmental engineering taken under consideration. Course title and description may vary when taught as a CE Elective.

Prerequisite: MATH 2415. Corequisite: CVEN 2372.

 

Textbook:                              Engineering Statistics, 3nd Ed., Montgomery D. C., Runger G. C. and Hubele N. F., John Wiley and Sons, Inc., 2004.

 

Reference:                             Ronald E. Walpole, Raymond H. Myers and Sharon L. Myers, Probability and Statistics for Engineers and Scientists 6th Ed., Prentice Hall, Inc., 1998.

 

Instructor:                              C. Jerry Lin, Associate Professor of Civil Engineering Department.

 

Goals:                               (1) Apply mathematical principles in the analysis of scientific and engineering data. (ABET Outcome # a).

(2) Design sampling scheme for data collection, perform data analysis and presentation, and interpret the data outcomes. (ABET Outcome # b).

(3) Learn the applications of statistics in contemporary issues and use statistical software for data analysis. (ABET Outcomes # j, k)

 

Prerequisites by Topics:         Calculus and Linear Algebra

 

Topics:

 

  1. Introduction to Data Analysis and Statistics. (1 week)
  2. Random Sample and Sample Frequency Distribution. (1 week)
  3. Descriptive Statistics and Data Presentations. (1 week)
  4. Probability Distribution Function and Its Properties. (1 week)
  5. Fundamental Sampling Distribution of Sample Mean and Variance. (1 week)
  6. Confidence Interval and Its Implications. (1 week)
  7. Hypothesis Test on Population Means and variance. (2 weeks)
  8. Hypothesis Test on Swo Samples. (1 week)
  9. Simple and Multiple Linear Regressions. (2 weeks)

10.  Correlation Analysis and Residual Plot. (1 week)

  1. Analysis of Variance (ANOVA) and Experimental Design. (2 weeks)

 

Computer usage:                    Data analysis and presentation by statistical software MINITAB, data acquisition through the Internet

 

Contribution of course to meeting the professional component:

 

This course contributes to the engineering science and engineering design component.

 

ABET category content as estimated by faculty member who prepared this course description:

 

                  Engineering Science:     2 credits or 100 %.