Mechanical, Industrial and Manufacturing Engineering

Fall 2024 technical Electives

MIME 4280 001 Cad-Finite Element Methods

An introduction to the basic concepts of the finite element method. Topics include engineering analysis of continuous systems, numerical solutions of boundary value problems, method of weighted residuals and the principle of minimum potential energy, and applications of commercially available finite element programs.

Prerequisites: MIME 3320 

MIME 4410 Alternative Energy

This course focuses on the technical aspects of sustainable energy technologies, such as wind, solar, biomass, ocean waves/tides, geothermal, and hydropower; it also covers issues and applications related to storage, transportation, distribution, industrial usage, and buildings. The course investigates the progress, challenges, and opportunities of each technology to be both technically feasible and economically viable.

MIME 4450 Automation Design

This course will introduce the range of common components used in automation, including actuators, sensors, motors, linear guides, energy chain, industrial robots and light curtains. Students will practice (with feedback) walking through the design process in specifying, sizing, laying out and integrating these components.

Prerequisites: MIME 1100 with a minimum grade of D- and MIME 2300 with a minimum grade of D- and CIVE 1160 with a minimum grade of D-

MIME 4540 Jet Propulsion

Mechanics and thermodynamics of jet propulsion. Fundamentals of high-speed flow. Analysis of gas turbine engine components: diffuser, compressor, turbine and nozzle. Investigation of characteristics of ramjets, turbojets, turbofans and turboprops. Introduction to solid and liquid rockets.

Prerequisites: MIME 3410 with a minimum grade of D-

MIME 4830 Additive Manufacturing

Additive manufacturing (AM) is a method of manufacturing that has been growing rapidly. In this course the students will learn about various AM technologies. They will also work with the required design software packages to create 3D models and 3D-print objects from the designed models.

Prerequisites: MIME 2650 (may be taken concurrently) with a minimum grade of D-

MIME 4980 – Application of Machine Learning in Engineering

Last Updated: 4/8/24