This course focuses on the technology, operation and analysis of thermal power, fuel cell, renewable, combined heat and power systems, and energy storage, with focus on environmental and societal awareness. Topics include: first and second law analysis, exergy, (electro) chemistry, plant subsystems and integration, environmental impacts, life-cycle assessment. Research project.
Review of mass, momentum, and energy conservation; boundary layers; laminar/turbulent flow; dynamic similarity; turbomachinery; and Navier Stokes equations. Exact solutions to the Navier Stokes equations for irrotational flows. Thin airfoil theory and finite wing aerodynamics. Design and demonstration of wind tunnel experiments (sensor selection, model considerations, empirical corrections, scaling laws, types of wind tunnels). Fundamentals of hydro turbine design, selection, and performance evaluation. Introduction to computational fluid dynamics using commercially available solvers.
Advanced materials for engineers with emphasis on the production, structure, property, function relation of a number of advanced materials for biomedical and aerospace applications. Topics include ultra-light materials, biomaterials, composites, refractory materials and coatings for high temperature applications, thin film shape memory alloys.
Development of the theory and application of concepts related to finite element analysis. The course will focus on applications in structural mechanics and analysis. Weekly computer exercises. Prerequisites: MEGR 4050 or CEEGR 4450.
Development of the theory and concepts related to both rigid and flexible multibody dynamics. The course will focus on applications in structural mechanics and analysis.
The course will introduce digital control systems design including sampling, z-transform, root locus techniques, frequency response, and implementation of digital controllers with applications to modern, real-world engineering problems such as robotics and automation. The course will include a brief review of continuous time control.
A broad and application-based overview of the concepts, methodologies and techniques that can be used to make more effective engineering decisions in the presence of uncertainty. Students will learn about the challenges faced by engineering designers and decision-makers, including the concepts of risk, utility and uncertainty. Students will also be exposed to tools that can be used to make better decisions with respect to how to design, manufacture and operate engineering systems.
This course implements modern computational methods to solve practical engineering problems relating to the fields of numerical solutions to partial differential equations, statistical analysis of data sets, and state space modeling of linear systems. The course is primarily taught using Matlab, although other languages may be used based on student experience.
Learn how to develop tools for self-assessment, leadership skills, and managing group dynamics. A service project will be used to enhance individual growth and team building. In-class activities that require active participation will include case analyses, mini-lectures, and group work.
Analyzes the ethical, legal and regulatory environment in which business operates. Provides essential information regarding the systems, institutions, and processes which are the framework for understanding the ethical and legal environment of business. Cases, text material, and class discussion cover the topics listed. Emphasis is on critical analysis through case studies. Challenges students to offer solutions to management problems presented within the current legal environment.
This course presents the principles and techniques of managing engineering projects from the initiation phase, through planning, execution, control and closeout. Students will develop the analytical skills and awareness necessary on the management side of engineering projects. Registration restrictions may be bypassed by the department with permission of instructor. Registration restriction(s): Majors only.
Develops a coherent framework for effective quantitative decision-making and economic concepts and modes for application in a variety of business disciplines. Topics include the role of the analysis of the margin in understanding optimal decisions, production and supply, consumption and demand, elasticity, and market structure. Possible applications will vary depending on class interests; examples include approaches to optimal choice in production or distribution, pricing practices for firms with market power, the relationship between risk and return, implementing “marginal” analysis in managerial accounting, and optimal marketing approaches for new products with an existing brand. Prerequisite course: Business Calculus.