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
Spring 2019
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
Spring 2019
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.

An introduction to the professional and academic aspects of systems engineering. Topics include: systems engineering activities, opportunities and drivers; case studies of systems failures; models of system lifecycle development; introduction ... to model-based systems engineering; representations for system structure, system behavior, system interfaces and systems intergration; reactive (even-driven) systems, systems-of-systems, measures of system complexity; visual modeling of engineering systems with UML and SySML; simplified procedures for engineering optimization and tradeoff analysis. Software tools for visual modeling of systems with UML and SySML. Students will complete a project for the front-end development of an engineering system using ULM/SySML.
Prerequisite: Permission of ENGR-CDL-Office of Advanced Engineering Education. Also offered as: ENSE621. Credit only granted for: ENPM641 or ENSE621.

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
Full course description TBD

General Mechanical
An introduction to topology optimization and its application to the design of manufacturable structures, components, and devices. The course focuses on the coupling of optimization algorithms with finite element methods, provides an overview ... of the challenges and potential pitfalls in using topology optimization, and discusses the advantages and disadvantages of various discretizations (truss, beam, continuum) and methods. Practical design issues will be discussed, including design under multiple load cases, design for manufacturability (including design for additive manufacturing), and design under uncertainty. The course will focus on problems governed by solid mechanics but problems governed by fluids, thermal, and other physics will also be discussed. Students will gain significant experience using topology optimization software and assessing output solutions. Course assumes familiarity with finite element methods and assumes no prior coursework in optimization.

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.