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.
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.