IE 323 Statistical Methods of Industrial Engineering
Course
Description
Statistical Methods
in Industrial Engineering is a second level junior course required for all
the baccalaureate students in the Department of Industrial and Manufacturing
Engineering. It will be offered in fall and spring semesters. It exposes
students to the statistical tools such as estimation, testing of hypotheses,
control charts, process capability indexes, gage R & R studies, simple
regression and design of experiments, which are necessary for analyzing and
solving real life engineering problems using data.
Students taking this course should be familiar with the following topics
taught in the first course in probability offered in the department.
Probability concepts, Random variables, Independence, Probability
Distributions (both discrete and continuous), Mathematical Expectation,
Variation and Binomial and Standard Normal tables.
Course
Offering Schedule via C&DE
This
course is designed for Independent Learning with no fixed daily time schedule or
meeting location. But it does have weekly homework, lab activities, and
exams with scheduled start and end dates.
Semester: Summer 2013
Day and Time: Online
Location: Online
Start Date: May 13, 2013
End Date: August 9, 2013
Course Instructor: