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  • 3.00 Credits

    Lectures on and team assignments leading to the construction, testing and optimization of proposed design including: engineering analysis and testing of beta prototypes, final parameter and tolerance design, and economic analysis of final product. Culminates in demonstration of final product and verification and documentation of how final product meets all customer needs. Prerequisites: 'C' or better in ME EN 4000 AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    This course provides instruction in the design of experiments related to thermal sciences, fluid mechanics, and energy systems. The course focuses on hands-on learning through weekly laboratory activities that transition from controlled experiments to semi-structured experiments to open-ended experiments as the semester progresses. Primary topics covered include uncertainty analysis, measurement techniques, sensor calibration, reverse engineering strategies, statistical analysis of data, modeling, optimization, and design of experiments with several factors. Prerequisites: 'C' or better in (ME EN 2300 OR 3600 OR 3610) AND (ME EN 2550 OR MATH 3070) AND ME EN 3400 AND (ME EN 3700 OR 3710) AND (ME EN 3650 OR 4610) AND Full Major in Mechanical Engineering.
  • 3.00 Credits

    Restricted to students in the Honors Program working on an Honors degree. Prerequisites: Full Major status in Mechanical Engineering.
  • 3.00 Credits

    This course is designed to provide science and engineering students with a sufficient knowledge of law to enable them to recognize and deal with legal problems which may arise in the fields of science, engineering, or technical management. Topics covered include courts, trial procedures, evidence, contract law, engineering contracts, agency, patents, trademarks, copyrights, trade secrets, product liability, employer/employee law, business law including corporations, partnerships, joint ventures, etc. Prerequisites: Full Major status in the College of Engineering.
  • 3.00 Credits

    Application of fundamental theories in solid mechanics, heat transfer, chemistry and surface science in solving complex problems in material processes. Prerequisites: 'C' or better in (ME EN 2650 OR ME EN 4060) AND Full Major status in Mechanical Engineering.
  • 3.00 Credits

    Additive manufacturing is a broad class of manufacturing technologies with significant current and emerging applications across major industries, including medical devices and consumer products. This course introduces the general concept, the latest development, and the emerging applications of additive manufacturing technologies. Prerequisites: 'C' or better in ((MSE 2010 OR MSE 2160) AND ME EN 2650) AND Full Major status in Mechanical Engineering
  • 3.00 Credits

    This course will provide students with a fundamental understanding of the lasers and physics involved in various laser-based manufacturing and materials processing techniques. The students will also be exposed to different analytical and numerical models that capture the physics in materials processing techniques (not limited to laser-based techniques). Prerequisites: 'C' or better in (ME EN 2300 OR 3610 OR 3600) AND (ME EN 2450 OR 2500 OR CH EN 2450) AND (ME EN 2650 OR 4060) AND (ME EN 3700 OR 3710) AND (ME EN 3650 OR 4010) AND (MSE 2010 OR MSE 2160) AND Full Major in ME EN.
  • 3.00 Credits

    Application of statistical concepts for interpretation of component and system failures, redundancy, maintainability, exponential failure laws, and failure prediction techniques. Meets with ME EN 6030. Prerequisites: Full Major status in Mechanical Engineering.
  • 3.00 Credits

    The purpose of this course is to introduce mathematical concepts and statistical methods used in modern engineering problem solving and analysis. The goal is to introduce students to analytical and numerical tools to design experiments to effectively and efficiently solve real-world engineering problems. Lectures will be supplemented by several programming exercises using R, and a large number of practical examples on relevant engineering topics related to design of experiments and data analysis. The use of experimental designs is a prescription for successful application of the scientific method. The scientific method consists of iterative application of the following steps: (1) observing a selected state, (2) hypothesizing the mechanism for what has been observed, then (3) collecting data, and (4) analyzing data to draw valid conclusions. Statistical experimental designs provide a plan for collecting data in a way that they can be analyzed statistically to corroborate the hypothesis in question. This is an organized approach which helps to avoid false starts and incomplete or invalid answers to research questions. Prerequisites: 'C' or better in (ME EN 2550 OR MATH 3070) AND Full Major status in Engineering.
  • 3.00 Credits

    ME EN 5040/6040 is an elective course that studies quality management knowledge area topics such as: the quality system, quality management (QM), statistical planning, and the quality organization. In addition, process area topics such as: human resource planning, quality control, and reliability of products are fully explored. In general, the course provides an overview of the relevant quality management principles and practices as applied in contemporary organizations. The focus of the material covered is on topics that will lead into written assignments (case studies) and team presentations. A practical, in-class documentary series, based on the design of a successful commercial aircraft (the Boeing 777), will be presented during the term to reinforce concepts from the text and discussions in the classroom. Prerequisites: Full Major status in Mechanical Engineering.