Understand fundamental processes used for polymer processing, including injection molding, extrusion, batch mixing. Determine the effects of processing conditions and viscosity on the microstructure of polymers with and without fillers. Develop ... fundamental models of polymer processing techniques for control of microstructure.

Energy & The Environment
Boiling and condensation in stationary systems, phase change heat transfer phenomenology, analysis and correlations. Fundamentals of two-phase flow natural circulation in thermal hydraulic multi-loop systems with applications to nuclear ... reactors safety. Multiphase flow fundamentals. Critical flow rates. Convective boiling and condensation. Multiphase flow and heat transfer applications in power and process industries.
Prerequisites: (ENME 321; and ENME 342 or equivalent) or permission of the instructor.

General Mechanical
Micromechanics of advanced composites with passive and active reinforcements, mathematical models and engineering implications, effective properties and damage mechanics, recent advances in "adaptive" or "smart" composites.

General Mechanical
This course melds elements of traditional engineering economics with manufacturing process modeling and life cycle cost management concepts to form a practical foundation for predicting the cost of commercial products. Methodologies for calculating ... the cost of systems will be presented. Product life cycle costs associated with scheduling design, reliability, design for environment (life cycle assessment), and end-of-life scenarios will be discussed. In addition, various manufacturing cost analysis methods will be presented, including process-flow, parametric, cost of ownership, and activity based costing. The effects of learning curves, data uncertainty, test and rework processes, and defects will be considered. This course will use real life design scenarios from integrated circuit fabrication, electronic systems assembly, and substrate fabrication as examples of the applications of the methods mentioned above.

In-depth understanding of Additive Manufacturing (AM) technologies and their applicability and limitations is important for future engineers in developing new engineering systems and identifying emerging opportunities in developing products ... for mass customization. This course will be given in two parts: Part I focuses on introduction of AM technologies, enabling features of design optimization for AM, material properties in AM, and advances in computational (techniques) for AM-fabricated material characterization. Here the aim is to provide in-depth fundamental knowledge and tools to evaluate new opportunities in AM. Part II provides specific case studies on applications in four targeted industrial sectors, namely: Aerospace, Defense, Energy and Water Harvesting applications. These case studies will demonstrate the potential opportunities and limitations associated with each of the four respective areas.

Teaching basic statistical concepts and techniques and applications of these techniques to different fields. The focus is on the data analysis rather than the statistical theory (however, there will be some theory). Methods useful for the analysis ... of experimental data are emphasized. For each topic covered, students should gain insight on what to do when confronted with data.

General Mechanical
An introduction and overview to formal models and methods in applied engineering optimization including analytical and computational techniques. The course will involve engineering optimization formulation examples, concepts, necessary and ... sufficient optimality conditions, global optimality, survey of solution techniques for unconstrained and constrained optimization problems and use of optimization software such as Matlab and Excel in solving practical engineering optimization problems. A semester-long group project will be used to reinforce the topics covered in the course.
This course is not open to students who have taken either ENME610 or ENME410.

The course objective is to provide understanding of the fundamental techniques of data mining and machine learning. The focus will be on guiding students to quickly start applying these techniques so that they can start working on problems ... occurring in their specific area of practice.

An INCOSE-oriented introduction to model-based systems engineering. Provides an overview of systems engineering concepts, processes and methods, with a particular focus on: the development of stakeholder and system requirements; characteristics ... of well-written requirements; the use of SysML software tools to develop of system- and element-level architectures; and the relationship between requirements and architecture. Architecture-related topics include specification and visualization of system attributes, behavior, and interfaces. Other topics include acquisition and development life cycle models; operational concepts and use cases; requirements and design traceability; analysis, modeling and simulation; systems engineering management; risk management; configuration management; systems-of-systems; and system complexity. The course includes a class project in which teams of 3-5 students use SysML to develop stakeholder requirements, system requirements, and a logical system architecture for an engineered system of interest to them and then perform a design trade-off analysis for some aspect of the system.