MEEN 210 – Geometric Modeling for Mechanical Design

Foundations of geometric modeling as applied to mechanical design through use of modern computer-aided design (CAD) and physical prototyping tools; basics of systematic design methodology; geometric visualization concepts: multiview orthographic, isometric, oblique, perspective; three-dimensional representations, surface and solid modeling; dimensioning and tolerancing; rapid prototyping using 3D printing.

MEEN 357 – Engineering Analysis for Mechanical Engineers

Practical foundation for the use of numerical methods to solve engineering problems; error estimation, Taylor series, numerical solution of linear and non-linear algebraic and differential equations; introduction to engineering optimization.

MEEN 401 – Introduction to Mechanical Engineering Design

The design innovation process; need definition, functional analysis, performance requirements and evaluation criteria, conceptual design evaluation, down-selected to an embodiment; introduction to systems and concurrent engineering; parametric and risk analysis, failure mode analysis, material selection, and manufacturability; cost and life cycle issues, project management.

MEEN 402 – Intermediate Design

Product detail design and development process including case studies; project management, marketing considerations, manufacturing, detailed design specifications; failure modes, application of codes and standards, selection of design margins; product (component) development guidelines; intellectual property, product liability and ethical responsibility.

MEEN 423 – Machine Learning for Mechanical Engineers

Machine learning techniques with applications to the analysis and design of mechanical, fluid, thermal, material and multidisciplinary systems; linear and kernel support vector machines; neural networks; Bayesian techniques; decision trees and random forests; dimension reduction and model selection; data management and learner validation strategies; tools and application studies.

MEEN 497 / 797 – Innovation Mindset and Skillsets for Design and Research

Exploration of the key behaviors of innovators and how to increase innovativeness in one’s work; exploration of additional learning orientations, including Design Thinking and Lean experimentation, and Leadership practices to increase innovation in teams.

MEEN 440 / 696 – Bio-Inspired Engineering Design

Expand the design space available to engineering by developing and understanding of how nature solves problems; study of effective bio-inspired design and biomimetic applications to draw solutions from nature; enhance concept generation through the use of bio-inspired design; use current state of the art methods in bioinspired design; view nature’s solutions to different problems from an engineering perspective.

MEEN 601 – Advanced Product Design

Design methodology, functional design, innovation, parameter analysis, design for reliability, manufacturability and strength; design project.

MEEN 602 – Modeling and Analysis of Mechanical Systems

State spaces and vector algebra with applications to static, dynamic and controls systems, state evolution, trajectories, ordinary differential equations; global and local balance laws and vector calculus to describe flowing/deforming systems; steady state and transient PDEs, statics and vibrations of strings and membranes, and the heat equation; numerical methods.

MEEN 632 – Advanced Computer-Aided Engineering

An integrated learning environment that is responsive to industrial need for mechanical engineers with multi-disciplinary design skills; three essentials emphasized in strong teamwork environment; design concept development, design optimization and effective communication via engineering drawings.

MEEN 683 – Multidisciplinary System Analysis and Design Optimization

Overview of principles, methods and tools in multidisciplinary system analysis and design optimization; engineering systems modeling for analysis, design and optimization; design variable selection, objective functions and constraints; subsystem identification and interface design; gradient-based and heuristic search methods; multi-objective optimization and Pareto optimality.

MEEN 703 – Generative Design – Principles, Algorithms and Applications

Theoretical and computational fundamentals of generative design; geometric theory, algorithms, processing and practical applications of generative design; discussion of different themes of generative design, including production systems, morphogenesis, evolutionary computing, self-organization, space-filling shapes and machine-learning based generative methods.