This course introduces numerical methods used by mechanical engineers. It involves coding algorithms in Matlab and observing the types of numerical errors that arise. It is suitable for junior and senior undergraduates and graduate students. It provides a foundation for Advanced Numerical Analysis (MIE 603), which presumes an understanding of basic numerical methods and focuses on accounting for numerical errors in order to analyze engineering problems using numerical solutions that inherently include error.

This is a senior design project course for a 2-semester industry-sponsored project. Students will attend MIE 415 for 2-semesters and remain on the same team for the project duration. Project includes design concept selection, design specification writing, assembly design (DFM), design analysis, a final report and oral presentations in defense of the design. Satisfies a technical elective requirement for BS-ME majors.

This class will look at optimization problems related to stochastic systems for which the analytical form of the objective function are not known or are too complex to formulate. But the value of the function can be evaluated at specific points of the decision variables through simulation, and the problem can be solved using numerical optimization techniques. We will learn multiple algorithms for solving such problems. We will look at both static systems (parametric optimization) and dynamic systems (control optimization).

This course applies principles of continuum mechanics to a broad range of biomechanical phenomena. The topics include: introduction to cell biology, fundamentals of solid mechanics, mechanosensitive machineries in cells, mechanotransduction, cell mechanics, developmental biomechanics, etc. Experimental methods for measuring molecular mechanics, cell adhesion, migration and contraction, and tissue biomechanics will also be discussed. Most recent literature will be used as discussion materials to connect theories with research.

Course description not available at this time.

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One of the most important, exciting and influential topics in Industrial and Systems Engineering has emerged as the field of Multi-Criteria Decision Making (MCDM). Both from a theoretical and practical perspective, MCDM influences all aspects of engineering design and analysis.

Quantitative techniques of production planning and control, including master production scheduling, manufacturing resources planning, operation scheduling, materials management, just-in-time production, facility layout, and forecasting.

A Senior Design (SD) project course including design concept selection, design spec writing, assembly design (DFM), design analysis, a final report and oral presentations in defense of the design. Prerequisites: M&I-ENG 313, 354, 375 and 413. Satisfies the Integrative Experience requirement for BS-ME majors..