Faculty Syllabus

Course Description (WECM):

Study of the background and application of quality concepts. Topics include team skills, quality tools, statistics, economics and continuous improvement.

• Credit Hours: 3
• Classroom Contact Hours per week: 3

Learning Outcomes: Use statistical process control to collect, organize, and analyze data; describe the principles of quality control; demonstrate team skills; and apply quality tools to process systems.

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Required Textbooks:

1. Quality (6th Edition), Donna C.S. Summers, ISBN: 9780134413273

 2. The Goal (4th Edition), Eliyahu Goldratt, ISBN# 9780884271956

BLACKBOARD:

-        All Lectures, Labs, Assignments, Exams & Due Dates will be posted on Blackboard.

-        Turn in assignments by up-loading them in the correct Blackboard folder.

-        Grades will be entered in Blackboard gradebook.

Required Tools and Supplies:

-        Scientific Calculator – Basic calculator for making simple computations. Online calculator or calculator on your phone or computer should work fine.

-        Computer with internet connection. Access to Microsoft Excel is a plus!

Course Rational:

In this class, students learn and apply different quality concepts, which are relevant and used in high-volume manufacturing industries. The topics covered include: elements of manufacturing, manufacturing improvement concepts, Lean manufacturing, teamwork, diversity, quality control, continuous improvement, Statistical Process Control, inspection and measurement procedures, and productivity.

Course Performance Measurements:

Computer Labs/Assignments          15 % of final grade

Class Essay                                          15 % of final grade

Two Semester Exams                         23 % of final grade each (total 46%)

Final Exam Comprehensive               24% of final grade

Total                                                      100%

A = 90 – 100; B = 80 – 89; C = 70 – 79; D = 60 – 69; F < 60

Please note: Submit assignments using the template with the correct number. A 10-point deduction will apply for this.

Reading assignments are listed on Blackboard and will include the following:

• Read assigned chapters from the textbook.

• Review accompanying Power Point presentations from each chapter.

• Review assigned PDF documents

• View assigned videos

• Read, The Goal", this book will be used for the class essay.

Module-1 (Quality Basics - Introduction)             

1.     Chapter-1              Develop a definition for quality

2.     Chapter-2              Identify the quality advocates and their individual contributions

3.     Chapter-3              Describe quality control concepts   

Module-2 (Problem Solving & Statistical Process Control)

4.     Chapter-4              Define the different quality improvement plans

5.     Chapter-5              Utilize statistical methods for quality control

 6.    Chapter-6              Create a variables data Control Chart

Module-3 (Probabilities, Product Reliability & Capability)

7.     Chapter-7              Analyze Process Capability Charts

8.     Chapter-9              Solve problems using probability theorems

9.     Chapter-11            Calculate reliability and interpret the product life-cycle curve 

Program Level Outcomes: 

1.     Describe the principles of quality control

2.     Define different problem-solving techniques

3.     Use statistical process controls to collect, organize, and analyze data  

         Analyze probability data and product reliability & capability

Student Learning Outcomes:

1.     Develop a definition for quality

2.     Identify the quality advocates and their individual contributions.

3.     Describe quality control concepts.

4.     Define the different quality improvement plans.

5.     Utilize statistical methods for quality control.

6.     Create a variables data Control Chart.

7.     Analyze Process Capability Charts

8.     Solve problems using probability theorems

9.     Calculate reliability and Interpret the Product Life Cycle Curve

1. Introduction: The use of generative AI (GAI) is permitted in this course under certain conditions and with instructor approval for the purposes of enhancing learning while maintaining academic integrity.
2. Rationale: GAI is permitted to foster technological fluency and to leverage advanced tools for research, projects and other relevant assignments, as long as it does not substitute for the students’ original work, critical thinking and learning.
3. Definition of GAI: Generative AI encompasses technologies that create content through learned patterns and data without direct human input.
4. Usage Permissions: Permitted: GAI can be used for initial research, idea generation, and learning coding practices. It is not to be used for final submissions unless explicitly cited and discussed. Students should check with their instructors for approval before using AI in their assignments.
5. Resources: The ACC Library provides guidance on the ethical and effective use of GAI . Additional resources may be provided by your instructor.
6. Assessment: Contributions of GAI must be clearly cited and will be assessed on the student’s ability to critically analyze and integrate the AI-generated content.
7. Penalties: Misuse of GAI, including a failure to cite, will be considered a breach of academic integrity, with consequences including a failing grade for the assignment and academic review.
8. Exceptions: Should the technology be required as an accommodation, exceptions will be made on a case-by-case basis.

To see the ACC College Policies, please click on the “College Policies and Student Support Services” link found in the Blackboard main menu.

                                                                                        STUDENT ADVISING ADDENDUM

                                                                                                   (Last Update 1/07/2026)

• Engineering Technology & Advanced Manufacturing Students who are seeking a degree or certificate should visit with their assigned Area-Of-Study advisor. To find out who your assigned advisor is, go to Find My Advisor and follow the steps using MyACC. If you have not been assigned an advisor, then please visit the Advising Office on your campus or fill out the Contact ACC Advising form and someone will get back to you.

                   o For online advising, please go to the following site: https://students.austincc.edu/advising/online-advising/

                    o High School students taking classes in dual enrollment or as part of an academy or institute will have different advisors and counselors

                       assigned to them. For help finding advising support for High School students, contact the ACC Office of College & High School Relations.

• All students are expected to check their ACC gmail regularly throughout the semester. We will be sending pertinent information about scholarships, the course schedule, job & internship opportunities, Microsoft Azure free student software program, career fairs, special events, and etc.  Your instructor will communicate with you through Blackboard Announcement and Email.