This hands-on, project-based course introduces students to the foundations of problem solving through the exploration of societal challenges such as the UN Sustainable Development Goals with an emphasis on the pursuit of making the world a better place. Working in collaborative teams, students engage in the problem-solving cycle, from problem definition and research to model-building, testing, and implementation, with the objective of improving conditions for humankind. Guided by faculty, students will apply mathematics, problem-solving strategies, and computational tools to design and analyze solutions to open-ended societal problems. Through collaborative, active learning, students gain experience with problem-solving strategies, teamwork dynamics, communication, and ethical reasoning. Emphasis is placed on the application of mathematics as a language for problem-solving and the integration of computational tools for data analysis and visualization. During this course, students will apply problem-solving techniques, work collaboratively in teams, analyze data, and communicate results in a professional manner.

A course that integrates basic engineering techniques. Topics will emphasize the design and communication of components through the use of hand sketching, solid modeling, dimensioning, tolerancing, and current GD&T standards. Students will be expected to design, build, inspect, and integrate GD&T into designs.

This course allows an upper-class mechanical engineering technology student the opportunity to independently investigate, under faculty supervision, aspects of the mechanical engineering field. Proposals for an independent study must be approved by the sponsoring faculty and the MMET department chair. Students are limited to a maximum of three semester credit hours of independent study projects and two sections in any semester, and a maximum of six semester credit hours of independent study used to fulfill degree requirements.

This course is designed to introduce the student to techniques required to maintain and improve quality within manufacturing organizations and the service sector through the use of statistical methodologies. The course covers concepts of quality, quality managements and assurance, product quality, design of quality control chart, statistical process control, and quality improvement through design by considering concept development and implementation. Traditional and modern quality systems will be discussed including the work of such quality gurus like Taguchi, Deming, Juran, and Shewhart.