Quality Assurance   

This course presents the concepts of reliability integrated with statistical techniques used in other areas of quality assurance. It provides a summary of methods and procedures of reliability statistics for professional designers and test and reliability personnel. Topics include a review of distributions, tests of hypotheses, logic diagrams, mathematical models, predictions of component reliability, apportionment, reliability growth, assessment methods and reliability demonstration. Textbook required.

The student will be introduced to the computerization of statistical process control functions such as histograms, control charts and data collection. This course uses spreadsheets, word processing and other quality assurance related software to demonstrate how computers can be used to effectively manage a quality system. Prerequisite: Working knowledge of Windows, Microsoft Word and Excel or equivalent. No textbook required. Software Requirements: Word processing and Spreadsheet

This course provides and introduction to quality assurance and control programs within a business organization. Topics include the nature and history of quality, factors which affect quality, quality inspection and verification. The course will also deal with collection, and analysis and interpretation of data, histograms and frequency distributions, probability and its applications, normal and binomial curves, control charts for variables and attributes and statistical sampling. Prerequisite: Level 4 Mathematics or equivalent. Textbook required.

This course extends basic engineering drafting skills to the applied principles of geometric dimensioning and tolerancing.  Emphasis is placed on interpretation and application symbols to drawings, measurements, and quality control. Textbook Required.

This course will present, in detail, the principles of quality functions and how to select and implement those that are appropriate. Emphasis will be on the theory of self-control, motivation for quality and cost of quality, quality audit, vendor relations, customer relations, measurement control, control of non-conforming materials and corrective actions. The control of variables will be related to management, operator and the system dominant concepts. Prerequisite: Fundamentals of Quality Assurance. Textbook required.