Main Page

Course Administration

Course Outline & Text

Schedule

News & Announcements

Web Documents

Homework Assignments

Related Links

Jayant Rajgopal
1039 Benedum Hall
Industrial Engineering
University of Pittsburgh
Pittsburgh, PA 15261

Tel. +1 412 624 9840
Fax +1 412 624 9831

rajgopal@pitt.edu

Probability and Statistics for Engineering and the Sciences (7th Edition), by Jay L. Devore, Duxbury Press, Belmont, CA (2007).

1. Engineering Statistics (2nd ed.), by Douglas C. Montgomery, George C. Runger, Norma F. Hubele, John Wiley, New York, NY (2001).
2. Applied Statistics for Engineers and Physical Scientists (3rd ed.), by Robert V. Hogg and Johannes Ledolter, Macmillan, New York, NY (2008).
3. Statistics for Engineers and Scientists, by William Navidi, McGraw Hill, New York, NY (2006).

This is an introductory course  in probability & statistics that is designed for engineering students.  Topics to be covered will include data analysis, probability, random variables, discrete and continuous probability distributions, estimation, hypothesis testing, sampling, and introductory linear regression and statistical process control. Some topics may be deleted and other added depending on time constraints. 

1. To acquaint engineering students with the fundamental concepts of probability and statistics. 
2. To develop an understanding of the role of statistics in engineering.
3. To provide an understanding of the processes by which real-life statistical problems are analyzed.
4. To familiarize students with computer-based statistical analysis through a suitable software package.

1. An ability to apply knowledge of mathematics, science and engineering.
2. An ability to design and conduct experiments, as well as to analyze and interpret data.
3. An ability to identify, formulate and solve engineering problems.
4. An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.