IE 323 - Statistical Methods in Industrial Engineering

Course Description

Statistical Methods in Industrial Engineeringis 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 Prerequisites

  • I E 322

Additional Information

Headshot of Hui Yang


Harold and Inge Marcus Career Associate Professor

221 Leonhard Building




The Office for Digital Learning in the College of Engineering supports engineers in lifelong learning - the process of acquiring the skills and knowledge necessary to remain current in a chosen field. In today's rapidly-changing, knowledge-based economy, engineers must devote the time and effort to learn new skills and technologies in order to add value for their employers and clients and to remain personally marketable. 

Office for Digital Learning

College of Engineering

301-A Engineering Unit C

The Pennsylvania State University

University Park, PA 16802

Phone: 814-865-7643