Quality Assurance Science

QAS 201. Total Quality Management — (3 units)
Prerequisite: General Education requirement or permission of your professor.
An introduction to the principles and practices of TQM. Methods of leadership, goal-setting, employee involvement, JIT, benchmarking, QFD and other continuous improvement tools are introduced. Works of TQM pioneers including Deming, Juran, Crosby, Feigenbaum, Ishikawa, Taguchi and Shingo. Current TQM approaches including Baldrige, ISO, and Six-Sigma.

QAS 202. Quality Control — (3 units)
Prerequisite: General Education requirement or permission of your professor. Calculations can be done on a calculator; however, access to and knowledge of a current Excel program for performing calculations is highly recommended.
A study of the basic quality control tools and philosophies that contribute to outgoing quality in the workplace. Essentials of quality assurance, control charts, sampling, reliability, quality costs, liability and quality concepts.

QAS 203. Inspection and Metrology — (3 units)
Prerequisites: High school mathematics through second year algebra; Math 165 General Mathematics
This course is designed to provide a background in principles of metrology, measurement tools, units of measure, dimensional metrology, measurements systems analysis, measurement error (R&R) studies, calibration and control of measurement equipment.

QAS 204. Fundamentals of Statistical Process Control — (3 units)
Prerequisite: High school Mathematics through second-year Algebra. Pre-Calculus is desirable. Experience with and access to Microsoft Excel or some statistical software package.
This course is designed to provide a basic background in the philosophy and statistical methods used to achieve control of systems and processes. 

QAS 206. Blueprint Reading — (3 units)
Prerequisite: General Education requirement or permission of your professor.
This course provides a study of working blueprints and drawings commonly used in metalworking/manufacturing industries. Class projects include simple production drawings and complex assembly drawings in addition to sketching of simple machine parts.

QAS 207. Software Quality Assurance — (3 units)
Prerequisite: General Education requirement or permission of your professor.
A study of industrial, commercial and government requirements for the assurance of Quality Software. Descriptions and evaluations of software quality processes are explored along with management and technical integration techniques used to produce software that meets the project's needs.

QAS 208. The Economics of Quality — (3 units)
Prerequisite: General Education requirement or permission of your professor.
This course provides a practical and useful study of the principles of quality costs. The course emphasizes the proper implementation of a company-wide quality cost system designed to optimize costs in the four major quality cost segments-prevention, appraisal and internal and external failure.

QAS 209. Supplier Quality Management — (3 units)
Prerequisite: General Education requirement or permission of your professor; Math Skills.
The course provides and overview of supplier quality assurance principles and techniques stressing methods for obtaining quality products and services from suppliers. Discussed are supplier evaluation and selection, communication of quality requirements, performance measurement, solving supplier quality problems, and legal aspects of the customer-supplier relationship.

QAS 305. Baldrige Organizational Excellence Systems — (3 units)
Prerequisite: QAS 201 Total Quality Management
This course provides a comprehensive review of Baldrige Organizational Performance Excellence Management principles and philosophies, focusing on quality and continuous improvements in all aspects of business operation. A balance of case studies Baldrige winners, critical thinking activities and review questions will be used. 

QAS 308. Quality Problem Solving — (3 units)
Prerequisite: General Education requirement or permission of your professor.
This course explores the Quality Problem Solving process and stresses proper selection and implementation of Corrective Action. Analytical techniques including Kaizen, Mistake-Proofing, and Root Cause Analysis are used to show how companies solve and prevent recurrence of quality problems.

QAS 310. Quality Engineering — (3 units)
Prerequisite: QAS 202 Quality Control.
This course presents an overview of quality engineering concepts as applied to in manufacturing and service industries. Topics covered include quality standards, improvement tools, basic statistics, process and material control and measurement systems.  This course is also based on the quality engineering body of knowledge as identified by the American Society for Quality (ASQ), focusing on, but not limited to the following quality engineering topics:  (a) quality control systems, (b) testing and inspection procedures, (c) metrology and statistical methods, (d) human factors and motivation, (e) quality cost concepts and techniques, (f) management information systems, (g) auditing quality systems, etc.

QAS 320. Quality Auditing — (3 units)
Prerequisite: General Education requirement or permission of your professor.
An overview of quality auditing principles and techniques; auditor qualifications; and how to prepare for, conduct, report on a quality audit to ISO 9000 or other standards, and post-audit and follow-up surveillance activities. Audit documentations, interpretations, checklists, effective questioning and listening techniques, and nonconformance reports.

QAS 330. Quality Planning — (3 units)
Prerequisite: QAS 202 Quality Control.
This course provides a comprehensive review of Quality Planning with focus on integration of quality and continuous improvements in all aspects of business operation. Building an integrated quality/business strategic plan, environmental analysis, and the role of leadership and vision. A balance of Case Studies, critical thinking activities and Review Questions are presented to illustrate the major concepts.

QAS 340. Taguchi Methods — (3 units)
Prerequisite: QAS 202 Quality Control.
An introduction to the experimental design and quality control methods of Dr. Genichi Taguchi. Taguchi's methods are covered with studies on products, processes and experimental designs used for quality improvement.

QAS 350. Customer Relationship and Satisfaction — (3 units)
Prerequisite: You should be familiar with Microsoft Word, Microsoft Excel, and have the ability to view Microsoft Power Point Presentations.
The purpose of this course is to familiarize the student with the necessity to build customer relationship and to accurately measure customer satisfaction levels and effectively link customer satisfaction excellence to process improvement and business financial success. The student will learn why customer satisfaction has become so critical and the various methodologies available to effectively assess customer satisfaction levels.

QAS 410. Reliability Methods — (3 units)
Prerequisite: QAS 204 Fundamentals of Statistical Process Control.
A study of reliability methods with emphasis on the principles of reliability design, prediction methods, maintainability and availability, system reliability, and analysis of reliability data. Role, methodologies, and implementation of Failure Mode and Effects Analysis (FMEA) in design, process and preventive action.

QAS 420. Geometric Dimensioning and Tolerancing — (3 units)
Prerequisite: QAS 206 Blueprint Reading.
A study of geometric dimensioning and tolerancing in accordance with ANSI Y14.5 and ASME Y 14.5M - 1994. Standard U.S. methodology and symbology are practiced and demonstrated to be compatible with international standard ISO 1101.

QAS 430. Experimental Design — (3 units)
Prerequisite: QAS 204 Fundamentals of Statistical Process Control.
A study of Experimental Designs used in quality control. This course emphasizes the basic principles of Experimental Designs and focuses on classical and modern designs along with proper design selection.

QAS 440. ISO Quality Systems — (3 units)
Prerequisite: QAS 202 Quality Control.
A study of modern day Quality Assurance Systems with an emphasis on preparation and planning for system registration based on the ISO 9000 standards. Other standards introduced are: QS 9000 (automotive), AS 9000 (aerospace), Q19000 (Boeing), GMP (FDA), TL 9000 (telecommunications), and ISO 14000 (environmental).

QAS 460. Process Control and Capability — (3 units)
Prerequisite: None.
A detailed study of procedures and methods for performing machine and process capability studies, supplier capability studies, process and machine improvement, test and process troubleshooting and process capability database management.

QAS 470. Graduate Statistical Process Control Methods and Applications — (3 units)
Prerequisite: QAS 204 Fundamentals of Statistical Process Control.
This course builds on the fundamentals of Statistical Process Control (SPC) Methods. Case studies will be used to show how SPC methods are applied in organizations. Hands-on use of Microsoft Excel or some other statistical software package will be required. 

QAS 480. Six Sigma Methods — (3 units)
Prerequisite: QAS 202 Quality Control
Experience of at least six months working in Quality or Statistics will be helpful but not mandatory.

This course provides a comprehensive review of Six Sigma Methods, focusing on quality and continuous improvement in all aspects of business operation. Critical to Quality (CTQ), DMAIC Methodology, and Design for Six Sigma (DFSS). Case studies, critical thinking activities and review questions will be used to illustrate major concepts.

QAS 499. Capstone Project — (3 units)
Prerequisites: Five upper division courses in the BS Quality Assurance program.
Access to and skills in using a computer with word and spreadsheet applications is required to produce a report, the culmination of the course work. Excellent English language skills are required to organize and clearly express your ideas in your written report while using correct punctuation, spelling and grammar.

Your level of project management skill will directly influence the time spent and the quality of output.

Essential is the ability to do research using a variety of resources. Common resources are: local library of books and periodicals, the Internet Public Library (IPL) linked to the CNUAS website, other websites on the World Wide Web, hands-on experiments using the scientific method and personal interviews with experts and associates.
The amount and type of additional resources will vary according to the focus of the course and what you already have discussed.

The focus of this capstone course is chosen cooperatively by you and your professor. You will apply Quality Assurance (QA) principles and theory to a specific job or occupational setting in line with your current professional interests and goals. You will gain the most value from the course and find high performance in it easily achievable if you keep the following in mind in selecting an area of study: personal interest, availability of resources, depth and breadth of application of QA methodologies, potential for use in workplace, synergism of learning from the BSQA curriculum.

QAS 516. Taguchi's Experimental Design Methods — (3 units)
Prerequisite: ENGR 502 Graduate Engineering Statistics or MSCI 585 Graduate Business Statistics.
An in-depth study of Dr. Genichi Taguchi's experimental design methods and quality design and analysis techniques. An emphasis is placed on Mechanical and Electrical product and process improvements derived from 22 case studies of Taguchi's methods. Planning of experiments for best strategy and objectives is stressed. An overall emphasis is placed on
providing engineering quality by design.

QAS 518. Software Reliability: Management, Methods and Mathematics — (3 units)
Prerequisite: ENGR 502 Graduate Engineering Statistics or MSCI 585 Graduate Business Statistics.
A study of reliability concepts as related to software design and implementation including mathematics, management and methods. Reliability prediction, confidence assessment, system, safety, availability and maintainability principles studied along with the related distributions, and failure modes and effects analysis.

What makes software reliability different from that found in standard engineering practice is the nature of failures to be found in software. Once found, a failure is no longer a failure, which implies that failures cannot be considered random variables. This introduces new approaches to software failures with some attempts to relate some of the processes to traditional reliability. Hence, the need for an in-depth knowledge of standard reliability distributions and methods.

Other QUALITY ASSURANCE SCIENCE Courses To Be Considered:

ENGR 503. Graduate Total Quality Assurance Management