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IE53300 - Industrial Applications of Statistics

Spring 2014

Days/Time: TTh / 3:00-4:15 pm
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. This course will be application-oriented.

Topics Covered:
Statistical analysis; 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: 70/30

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. Piazza discussion board will be also be used.

Homework:
Roughly ten assignments. Accepted via Blackboard.

Projects:
**Updated Jan. 3, 2014** A required project will be assigned. For off-campus students or students involved in research, they can select their own project topic. For those who do not have a topic, a project will be assigned.

Exams:
Two (one-hour 15 minutes) midterm exams.

Textbooks:
**Updated Jan. 9, 2014** Required - Design and Analysis of Experiments by Montgomery, 8th edition, ISBN-13: 978-1118146927 (for homework and background reading). This book can serve as a reference if you want to check DOE related topics.

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

ProEd Minimum Requirements: view

Tuition & Fees: view

Other Requirements:
None.

Hong Wan
Phone
765-494-7523
Email
hwan@purdue.edu
Office
Purdue University
Grissom Hall
315 N Grant St
West Lafayette, IN 47907-2023
Fax
765-494-1299
Instructor HomePage