MASTER SYLLABUS

2020-2021

A.	Academic Division: Business, Industry and Technology

B.	Discipline: Mechanical Engineering

C.	Course Number and Title: ENGR 4210 Design of Engineering Experiments

D.	Course Coordinator: Mike Beebe

Assistant Dean: Toni Johnson, PhD

Instructor Information:

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Office Location:	Click here to enter text.

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E.	Credit Hours: 3

F.	Prerequisites: MATH1151

G.	Syllabus Effective Date: Fall, 2020

H.	Textbook(s) Title:

Introduction to the Design & Analysis of Experiments

Authors: Canavos, Koutrouvelis

Copyright Year: 2009

Edition: 1st Edition

ISBN: 9780136158639

Workbook(s) and/or Lab Manual: None; Class Handouts will be distributed

J.	Course Description: This course prepares students to analyze statistically designed experiments and their importance in data analysis, industrial experiments, role of randomization, fixed and random effect models and ANOVA, block design, Latin square design, factorial and fractional factorial designs and their analysis.

K.	College-Wide Learning Outcomes:

College-Wide Learning Outcome	Assessments - - How it is met & When it is met
Communication – Written
Communication – Speech
Intercultural Knowledge and Competence
Critical Thinking
Information Literacy
Quantitative Literacy

L.	Course Outcomes and Assessment Methods:

Upon successful completion of this course, the student shall:

Outcomes	Assessments – How it is met & When it is met
Definition of an experiment	Report, quiz, midterm, final
Design of experiments statistical problem solving and analysis	Quiz, midterm
Use of Minitab software	Lab work, quiz and midterm, final
Design an experiment	Quiz, report
Perform a factorial analysis	Quiz, midterm, and final
Perform an ANOVA analysis	Quiz, midterm, and final
Perform a Weibull analysis	Midterm and final exam
Perform a Taguchi analysis	Midterm and final

ABET Outcomes:

Outcome b. Use of computer aided drafting and design software;

Outcome c. Perform selection, set-up, and calibration of measurement tools/instrumentation;

Outcome k. Application of industry codes, specifications and standards;

Outcome l. Technical communication typically used in preparation of engineering proposals, reports, and specification.

M.	Topical Timeline (Subject to Change):

Unit 1	Experiments and types of analysis performed

Unit 2	Minitab Software Introduction

Unit 3	Design of Experiments Methods

Unit 4	Factorial Method

Unit 5	ANOVA Method

Unit 6	Weibull Method

Unit 7	Taguchi Method

N.	Course Assignments:

Reports

Quizzes

Midterm

Final Exam

O.	Recommended Grading Scale:

NUMERIC	GRADE	POINTS	DEFINITION
93–100	A	4.00	Superior
90–92	A-	3.67	Superior
87–89	B+	3.33	Above Average
83–86	B	3.00	Above Average
80–82	B-	2.67	Above Average
77–79	C+	2.33	Average
73–76	C	2.00	Average
70-72	C-	1.67	Below Average
67–69	D+	1.33	Below Average
63-66	D	1.00	Below Average
60-62	D-	0.67	Poor
00--59	F	0.00	Failure

P.	Grading and Testing Guidelines:

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Q.	Examination Policy:

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R.	Class Attendance and Homework Make-Up Policy:

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S.	Classroom Expectations:

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T.	College Procedures/Policies:

Important information regarding College Procedures and Policies can be found on the syllabus supplement located at

http://catalog.ncstatecollege.edu/mime/download.pdf?catoid=5&ftype=2&foid=3