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Mar 26, 2025
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2025-2026 | Academic Catalog
Operations Technology Certificate
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The Operations Technology Certificate provides students with the fundamentals of operations management, industrial health and safety, supervision, human relations, manufacturing processes and problem solving. Course work in this program articulates into the Associate of Applied Science degree in Industrial Operations.
Program Outcomes ►
The student will
- apply computer concepts with an emphasis on application software;
- understand the various types of engineering drawings. Recognition of electrical symbols, mechanical symbols, and welding symbols is developed. Skill in freehand drawing of 3 dimensional objects is developed;
- create and practice essay writing by reading published authors and producing college-level writing for a variety of audiences and purposes;
- understand plant safety and industrial hygiene requirements and practices in American business from the perspective of on-the-job requirements for supervisors/employees;
- understand what managers do about processes, and the tools that managers can use to make better operating decisions. Includes operations strategy, process management, project management, managing technology, total quality management, and statistical process control;
- understand manufacturing processes including metrology, materials, heat-treating, machine tool operations, welding processes, and castings in making quality engineered products;
- apply interpersonal skills using practical applications for the development of a positive work environment;
- apply the fundamentals of problem solving and strategic management processes; and
- understand general statistics. Topics include data organization and display; measure of dispersion and central tendencies; probability models, random variables and finite probability distributions; normal and binomial distributions; construction of scatter plots of bivariate data and interpretation of linear regression; normal distribution approximation to the binomial distribution; central limit theorem and confidence limits; introduction to experimental design and sampling; and statistical control charts for statistical process control (SPC).
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