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Mail S. Kellogg

IENG 241
Quality Methods and Teams

Instructor:	S. Kellogg
Objectives:	After completing this course, students will be able to understand alternative thinking preference curves and how to approach problems from multiple perspectives. Students will be able to work more effectively on multi-disciplinary teams to solve continuous improvement and quality management problems.
Prerequisite:	None. This is a required course for industrial engineering sophomores.
Time/Place:	M, W, F 9:00 – 9:50 CB 330
Ref:
Office:	CM 320 394-1271
Hours:	M, W 10:00-12:00; F 10:00-11:00 by appointment
Grading:	Attendance 150 pts (5 excused) Co-curriculum 50 pts Instruments 5 at 10 pts each Mini-projects 2 at 20 pts each 90-100% A 80-89% B 70-79% C
Co-Curriculum	The co-curriculum is an important component of your overall development. Consequently, it is a required element of this course. Co-curriculum includes participation in not for credit CAMP teams, STEPS, Student Association, student organizations, Leadership Development team activities, participation in not for credit music, drama, or art, and student athletics. A list of activities, points earned, and documentation of co-curricular participation will be posted to the supplement page.
Intellectual Diversity	Freedom in learning. Students are responsible for learning the content of any course of study in which they are enrolled. Under Board of Regents and University policy, student academic performance shall be evaluated solely on an academic basis and students should be free to take reasoned exception to the data or views offered in any course of study. Students who believe that an academic evaluation is unrelated to academic standards but is related instead to judgment of their personal opinion or conduct should contact the dean of the college which offers the class to initiate a review of the evaluation.
Electronic Devices	Please turn off your cell phone before class starts. No text messaging in class. No headphones. Students may download a hardcopy of the lecture notes before class or they may access course notes electronically via DyKnow during class. Dyknow may be used at times to restrict access to pertinent course material. Any attempt to circumvent the DyKnow monitoring system will be considered a form of cheating and a breach of academic integrity (refer to Academic Integrity policy in catalog).
ADA	Students with special needs or requiring special accommodations should contact the instructor and/or the campus ADA coordinator, Jolie McCoy, at 394-1924 at the earliest opportunity.

Grades of less than C available on request. Homework assigned during a given week will be due on the first class session the following week except when otherwise noted. Homework that is one week late will be graded at 50%, two weeks late or over will not be graded. There will be no retesting of exams. Makeup exams will be granted for absences due to school related activities provided it is cleared with the instructor prior to the exam date. Makeup exams will also be granted for valid medical reasons.

Course Objective

After completing this course, students

will be able to understand alternative thinking preference curves and how to approach problems from multiple perspectives. Students will be able to work more effectively on multi-disciplinary teams to solve continuous improvement and quality management problems.

Course Outcomes

be able to develop a program of study to meet program requirements and career interests
understand and utilized different campus opportunities for student development
understand the whole brain model and the need for viewing problems from multiple perspectives
be able to utilize the CATME system to understand, incorporate, and evaluate appropriate team behaviors
understand the magnificent 7 quality tools for understanding root problems and improving quality
be exposed to methods for understanding quality from the perspective of the customer
will understand the impact random variation has in manufacturing processes and the need for quality improvement methods
be exposed to the need for statistical methods in the study of human engineering
know department faculty
know where to find on-line support and resources for probability and statistical processes

Relation of Course Outcomes to Program Outcomes a-k

IENG 241 Outcomes	Program Outcomes a-k
IENG 241 Outcomes	a	b	c	d	e	f	g	h	i	j	k
1
2									2
3				2				2	2	2	2
4				2
5	1	1			1			2			2
6		1						1
7	1	1		1							1
8	1	1				1		1			1
9
10	1	1									1

Program outcomes a-k: Students