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STAT 319 - Probability and Statistics for Engineers


 

Course Description

The main purpose of this course is to provide the student with a clear and thorough understanding of statistical methods and techniques and their applications for engineering purposes.

Basically, the course covers the following subjects : presentation and interpretation of data, elementary probability concepts, random variables and probability distributions, Estimation, tests of hypotheses for the one sample problem, Simple and multiple linear regressions, application to engineering problems.

The laboratory session will be devoted to problem solving using the statistical software "Minitab". The course is mainly based on brief presentation of the theory and extensive applications in the various fields of engineering with a particular focus on quality.

Pre-requisite

None

Co-requisite

None

Credit hours

3 credit

The scientist seeks to understand what is. The Engineer seeks to create what never was.       -Theodore von Karman

Course Syllabus and Planning

Lecture

Starting date

Lecture

Lecture 01   Introduction to Engineering Statistics

 

 

2

Lecture 02   Introduction to Statistics and Data Analysis

 

 

3

Lecture 03   Probability

 

 

4

Lecture 04  Random Variables and Discrete Probability Distributions

 

 

5

Lecture 05   Continuous Probability Distributions

 

 

6

Lecture 06   Fundamental Sampling Distributions and Points Estimations

 

 

7

Lecture 07    Hypothesis Testing

 

 

8

Lecture 08    Simple Linear Regression and Correlation

 

 

12

Lecture 09    Statistical Quality Control - Part I: Statistical Process Control

 

 

13

Lecture 10     Statistical Quality Control - Part II: Process Capability Analysis                      

 

 

14

Lecture 11     Design of Experiments - Part I

 

 

15

Final Examinations    :   (date to be specified)

 

 

17

 

 

18

     

Course Contents and Lectures / Laboratory Notes

Lecture

Lecture Title

The Lecture Material

Laboratory Material

1

Introduction to Engineering Statistics

2 Introduction to Statistics and Data Analysis
3 Probability
4 Random Variables and Discrete Probability Distributions
5 Continuous Probability Distributions
6 Fundamental Sampling Distributions and Points Estimations
7 Hypothesis Testing
8 Simple Linear Regression and Correlation
9 Statistical Quality Control - Part 1 : Statistical Process Control
10  Statistical Quality Control - Part 2 : Process Capability Analysis
11

Design of Experiment

       
  Engineering Projects    
                                                                                 
  Project 1 : Data analysis  
  Project 2 : Continuous Probability Distributions  
  Project 3 : Statistical Process control  
  Project 4 : Process Capability Analysis  
  Project 5 : Specialized engineering project (CE, Chem E, ME)  
       

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Policy grading

Students enrolled in the course should be aware of the university policy regarding attendance to lectures and tutorials. During the semester you should attend all classes according to your schedule, do your home works, your quizzes , the research questions and project. They should be submitted to the instructor  on time.

The following is the grading that will be adopted to evaluate students during the semester.

Laboratory work

20

Engineering Project

20

Mid Term Exam

30

Final Exam

30

Total

100

 

 

 

 

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Additional Web Resources

 

Excellent Videos on Engineering Statistics (Keith Bower)

Minitab worked Examples on Statistics (Keith Bower)

Engineering Data Analysis YouTube

Excellent Videos on Statistical Quality Control (Keith Bower)

Excellent Videos on Design of Experiments (Keith Bower)

Excellent PPT Presentations on Statistical Quality Control

http://www.itl.nist.gov/div898/handbook/index.htm

 

 

 


The Page is Designed and Maintained by Dr Mohamed Aichouni, Last updated on January 2012

Email : m.aichouni@uoh.edu.sa