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IE53300 - Industrial Applications of Statistics

Spring 2016

Days/Time: TBA / TBA
Credit Hours: 3

Learning Objective:
The application of statistics to the design and analisis of experiment-based industrial studies in order to optimize targeted objectives.

Description:
Design of experiments and analysis of experimental results are covered in depth. These include Single-factor, Factorial, Nested, Latin-square, 2 to the f, 3 to the f, Incomplete block, Fractional factorial, and Taguchi designs. Depending on the context, an appropriate design can be chosen in order to minimize the costs for the experiment while gathering sufficient data to achieve undiscovered knowledge.

Topics Covered:
Single-factor; Factorial; Nested; Latin-square; 2 to the f; 3 to the f; Incomplete block; Fractional factorial; Taguchi.

Prerequisites:
An introductory statistics course that covers basic probability, estimation, hypothesis testing, and simple regression.

Applied/Theory: 50/50

Web Address:
http://www.itap.purdue.edu/learning/tools/blackboard/

Web Content:
Blackboard course page will include the syllabus, lecture notes, homework assignments and grades.

Homework:
Roughly ten assignments. Accepted via Blackboard.

Projects:
Project is optional.

Exams:
Two one-hour midterm exam and One two-hour final exam.

Textbooks:
Required--Charles R. Hicks and Kenneth Y. Turner, Jr., "Fundamental Concepts in the Design of Experiments", 5th ed., Oxford University Press, 1999, ISBN 019-512273-9.

Computer Requirements:
ProEd minimum computer requirements. Excel and SAS, available through Purdue GoRemote (http://goremote.ics.purdue.edu).

ProEd Minimum Requirements: view

Tuition & Fees: view

Other Requirements:
None.

T. B. D.
Phone
None
Email
proed@purdue.edu
Office
Campus
Building
Address
West Lafayette, IN 47907