The educational opportunities provided here provide baccalaureate or graduate level college credit. Courses and programs offered are a mixture of online and conventional face-to-face delivery.
Illinois State University
http://www.tec.ilstu.edu/graduate/QualityManagement.shtml
Illinois State University offers three online courses related to ASQ certifications.
TEC 489.37 – Quality Tools and Analysis Techniques Course Overview: Course gives students a broad based understanding of the quality tools and statistical analysis techniques applied by quality professionals in business and industry. Students will select, construct, apply, and interpret quality tools such as: cause and effect diagrams, flow charts (process maps), check sheets, Pareto diagrams, scatter diagrams, control charts, and histograms. Descriptive and inferential statistics as applied in the quality environment will be explored using computer applications.
TEC 489.38 – Quality Management Systems Course Overview: Course gives students a broad based understanding of quality principles, and management systems. Place present day quality systems and initiatives in historical context. Manage and modify quality systems to maintain customer focus.
TEC 489.39 – Introduction to Six Sigma Data Driven Decision Making Course Overview: Course gives students a broad based understanding of the roles and functions of the Six Sigma as applied in advanced quality based DMAIC environments.
Southern Illinois Univerisity
http://www.engr.siu.edu/tech/itdegree/courses.html
386-3 Total Quality. Application of quantitative methods and human resources to improve product quality, enhance productivity, customer satisfaction, manufacturing organizational effectiveness and ability to compete in a global market.
450-3 Project Management I. This course is designed to provide students with an overview of the project management process followed by an in-depth examination of the activities needed to successfully initiate, plan, schedule, and control the time and cost factors of the project.
465-3 Lean Manufacturing. This course will cover the principles and techniques of lean manufacturing. Major topics covered include lean principles, 5S, value stream mapping, total productive maintenance, manufacturing/ office cells, setup reduction/quick changeover, pull system/Kanbans, continuous improvement/ Kaizen, lean six sigma, lean simulation, and other modern lean manufacturing techniques and issues.
470A-3 Six Sigma Green Belt. Study the knowledge areas of Six Sigma Green Belt. Topics include six sigma goals, lean principles, theory of constraints, design for six sigma, quality function deployment, failure mode and effects analysis, process management, team dynamics, project management basics, data and process analysis, probability and statistics, measurement system analysis, and process capability.
470B-3 Six Sigma Green Belt. Study the knowledge areas of Six Sigma Green Belt. Topics include exploratory data analysis, correlation and regression, hypothesis testing, single-factor ANOVA, design of experiments basics, implement and validate solutions, statistical process control, and control plans.
475-3 Quality Control. Study the principles and techniques of modern quality control practices. Topics include total quality management, fundamentals of statistics, control charts for variables and other quality related issues and techniques.
480-3 Six Sigma Black Belt. Study the knowledge areas of Six Sigma Black Belt. Topics include analysis of variance, fractional factorial experiments, Taguchi robustness concepts, response surface methodology, robust design and process, and other advanced six sigma principles and techniques.
485-3 Quality Control II. Study the principles and techniques of modern quality control practices. Topics include fundamentals of probability, control charts for attributes, acceptance sampling systems, reliability and other quality related issues and techniques. Prerequisite: senior standing.
490-3 Six Sigma. Six Sigma is a data-driven management system with near-perfect-performance objectives that has been employed by leading corporations. Its name is derived from the statistical target of operating with no more than 3.4 defects per one million chances, but its principles can be applied in business of all types to routinely reduce costs and improve productivity. This overview describes what Six Sigma is, and its techniques and tools.
Southern Polytechnic State Univerisity
http://www.msqa.edu/certificate.html
QA 5000 Statistical Concepts for Quality Assurance Course Overview: Students will learn basic statistical concepts including exploratory data analysis, probability distributions, confidence intervals and hypothesis tests. Analysis using Excel and Minitab will be introduced.
QA 6600 Methods of Analysis Course Overview: A study of the analytic processes required to identify, document, define, and measure requirements and limitations for any operating system. Class work will focus on identifying, describing, and measuring existing manufacturing and service systems. Methods available for system improvement will be investigated.
QA 6602 Total Quality Course Overview: A study of the functions and responsibilities of the quality organization. TQM concepts, quality function deployment, and the tools for continuous improvement are analyzed for sequence of use and application. Emphasis is placed on design and performance aspects of a system-wide quality assurance function.
QA 6610 Statistics for Quality Assurance Course overview: Descriptive statistics for discrete and continuous variables, probability distributions, confidence intervals and hypothesis testing, elementary control charts for variables and attributes, the design of acceptance sampling plans, analysis of variance, and regression and correlation analysis.
QA 6611 Statistical Process Control Prerequisite: QA 6610 Course Overview: The application of advanced statistical methodologies to the analysis and solution of quality and management problems, including probability theory, control charts, sampling, regression analysis, and design of experiments. The focus is on statistical process control and related quality technologies.
QA 6612 Design of Experiments Prerequisite: QA 6610 Course Overview: This is an analysis of statistical experimental design strategies, and planning of experiments for the best strategy and objectives. The use of existing computer application packages will be stressed.
QA 6613 Linear Regression Analysis Prerequisite: QA 6610 Course Overview: Students will learn linear regression analysis techniques to include first order and polynomial modeling, use of indicator variables, variance stabilizing transformations, multi-collinearity diagnostics and residual analysis. The connections among ANOVA, design of experiments and regression will be emphasized. Statistical software will be used to analyze problems.
QA 6615 Applied Systems Reliability Prerequisite: QA 6610 Course Overview: Analysis of appropriate probabilistic mod els for system reliability, including the exponential, Weibull, normal, and lognormal distributions, life prediction techniques, reliability test program plans, failure mode and effect analysis, Markov models, and maintainability concepts.
QA 6620 Inspection Systems Design Prerequisite: QA 6610 Course Overview: The understanding inspection systems, measurement principles, and limitations. Included are acceptance sampling plans such as ANSI Z1.4, ANSI Z1.9, Dodge Romig, and stipulated risk, chain, sequential, and continuous plans.
QA 6630 Technical Training Methods Course Overview: Adult learning theory, the development and management of training programs, presentation techniques, instructional aids, and assessment will be investigated.
QA 6640 Quality Cost and Supplier Evaluation Prerequisite: QA 6602 Course Overview: A detailed analysis of cost reductions involved in continuous improvement. Supplier evaluation, including quality audits, is reviewed to establish capability. The concept of partnerships is explored.
QA 6650 Quality Systems Design Prerequisite: QA 6602 Course Overview: Quality Systems Design prepares students for the development of the quality organization, systems, and procedures necessary for effective participation in world markets. Creating and documenting methods and procedures are stressed.
QA 6660 Six Sigma Black Belt Concepts Prerequisite: QA 6611, QA 6612 and QA6650, or concurrent Course Overview:
A study and review of the Six Sigma Black Belt body of knowledge, including the DMAIC Methodology, Enterprise – wide deployment, project management, the lean enterprise and design for Six Sigma.
QA 6712 Quality Systems Simulation Prerequisite: QA 6610 Course Overview: This course addresses the application of simulation to quality systems. Topics covered include fundamental simulation modeling techniques, random sampling procedures and methods of estimating performance measures from simulation outputs. Emphasis will be upon hands-on simulation of various quality systems using PC-based simulation languages.
QA 6722 Human Factors in Quality Assurance Course Overview: Human Factors in QA is a comprehensive survey of human factors theory, research, and applications which are of particular relevance to quality assurance. Emphasis will be placed on operator constraints in the design of work processes, workplaces, and instrumentation.
QA6725 Quality Assessment of the Organization Prerequisites: QA6602 Course Overview: Course covers the history and rationale behind various Quality Assessment systems, with particular emphasis on the National Malcolm Baldrige Quality Award. Students will interpret and apply the criteria and assess organizations through case studies.
QA 6763 Software Quality Course Overview: The Personal Software Process (PSP) is a technology that brings discipline to the practices of individual software engineers, dramatically improving the quality, predictability, and cycle time for software-intensive systems. PSP makes engineers aware of the processes they use to do their work and the performance of those processes. The course covers quality assessment, cost estimation, configuration management, software performance measures, proof of correctness, validation and verification, and management of the total quality environment for software.
QA 6901- Special Topics in Quality 1 to 3 hours Course Overview: Students may arrange to study and perform independent research on a topic approved by a graduate faculty member. An appropriate research paper will be required and the student may be required to make an oral presentation to faculty, graduate students, and/or quality professionals.
QA 7403 Graduate Seminar Prerequisites: QA 6602, QA 6611 Course Overview: The course is designed to cover various topics within the field of quality assurance which are not taught in other courses. These topics might include acceptance sampling, risk analysis, regression analysis, SPC training methods, and others.