IE 323Statistical Methods in Industrial Engineering
The study and application of statistics in the solution of engineering problems. 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 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.
Prerequisites
You need:
Where it sits in degree plans
Suggested plans most often put it in Year 3 · Fall (1 program).
Required in (3)
- Industrial Engineering, B.S. (Behrend)
- Industrial Engineering, B.S. (Engineering)
- Six Sigma, Minor
One of the options in (2)
- Environmental Health and Safety, Minor
- Service Enterprise Engineering, Minor