Printable Version| CEE-012 Engineering Probability & Statistics |
Course Description:
Basic engineering statistics with a civil & environmental engineering focus. Topics to include: random variables and histograms; central tendency, dispersion and skew; probability density functions and cumulative distribution functions, basic probability concepts and selected probability models, return period analysis, linear regression and least squares, correlation analysis, propagation of errors. Prerequisite: MATH 021.
Text book:
- Bilal M. Ayyub and Richard H. McCuen, Proability, Statistics, and Reliability for Engineers and Scientists, Third Edition, CRC Press, 2011.
- Alfredo H-S Ang and Wilson H. Tang, Probability Concepts in Engineering, John Wiley & Sons, Inc. 2007.
Location and Hours:
Lecture: MW 10:45am - 12:00 pm, MG Hall 102
(ZOOM Link)
TA: Huaian Zhang huz320@lehigh.edu
(Office Hrs: Monday Fritz Rm231 12:10-1:10 pm
Wednesday ATLSS B150 12:30-1:30pm)
| Syllabus | | Handouts | | Assignments | | Labs/Exams | | Links |
Course Handouts in PDF
Disclaimer: Students are expected to keep their own notes. The handouts highlight the lecture content and are by NO MEANS a complete set. The instructor reserves the right to make changes that may not be reflected in the handouts below, it is the students' responsibility to keep a complete and current set of notes for each lecture.
Class Lectures| No. | Description | File | Scripts |
|---|---|---|---|
| 1 | Matlab and Modeling Lecture 1a-Introduction to Matlab Preimilnaries Lecture 1b, Uncertainties & Data Visualization (READ Chapter: 1.3-1.5; 2.3-2.6 ) Matlab Reference Sheet Stat Tool Box Ref Video Tutorials |
Lecture 1a Lecture 1b |
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| 2 | Descriptive Statistics (READ Chapter 2.3-2.6 pg 62-78) |
Lecture 2 |
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| 3 | Set Theory and Probability (READ pg 62-86, 96-104) | Lecture 3 Lecture 3N |
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| 4 | Random Variables & Discrete Prob. Distributions (READ Chapter 4) |
Lecture 4 Lecture 4N |
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| 5 | a) Continuous R.V., Uniform & Normal Distributions b) Lognormal/Exopnential/Gumbel (READ Chpater 5, &pp144-149) |
Lecture 5a Lecture 5aN Lecture 5b Lecture 5bN |
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| 6 | Simulation (READ Chpater 7) | Lecture 6 | |
| 7 | Hypothesis testing & Confidence Intervals (READ 9.1-9.4, 9.5.3, & Ch. 11)) |
Lecture 7 Lecture 7N | |
| 8 | Correlation, Regression & Least Sqaures (READ Ch 12)) |
Lecture 8 |