EGR

Business fundamentals providing working knowledge in key business disciplines: economics, globalization, business ethics, money and banking, securities, investing, accounting, marketing and business etiquette/protocol.

Application of principles and tools of contemporary management focusing on the process of getting the job done effectively and efficiently: planning, organization, staffing, leadership, control and communication.

Analyze the technical and business viability of opportunities; identify and gather resources needed to launch a successful venture whether in a start up or a large established organization; develop practical business models. Lectures will be combined with multiple active learning exercises.

Find and recognize entrepreneurial opportunities; add value to the opportunities, and develop creative solutions that will help move from abstract ideas to practical innovations. Lectures will be combined with multiple active learning exercises.

Understand how infrastructure asset management supports the responsible stewardship of infrastructure assets, the achievement of greater value from the assets and how sound asset management principles and technologies are applied to manage financial, operational and sustainability goals.

Essential components of engineering leadership including: communication, innovative thinking, strategic decision making, ethical leadership, and team building and collaboration.

Principles of analytical methods for characterization of materials for structure & composition; crystallography, optical microscopy, scanning electron microscopy, transmission electron microscopy, x-ray diffraction, & atomic force microscopy. Hands-on laboratory experiments in scanning electron microscopy, x-ray diffraction, Atomic Force Microscopy. Restricted to Engineering/Science graduate students & seniors with 3.0 GPA or higher.

Introduction to the current state of science & public policy directions; development of a comprehensive framework for evaluating the challenges and opportunities resulting from Global Climate Change and Sustainability; application of technical/economic tools for solving high-potential opportunities.

Methodology for assessing and modifying the impacts of product development, new project construction, operations upgrade and infrastructure improvement within a sustainable development framework consistent with US and global requirements.

Developing a careful balance among the environmental, economic and social equity issues of a proposed product, service or infrastructure project; focus on specific tools and case studies; creating a holistic solution.

Comprehensive, systems-focused basis for selecting materials in new uses or as more sustainable alternatives; more eco-efficient alternatives, including technologies to reduce material intensity, renewably sourced materials, recyclable materials and material solutions inspired by nature (biomimetic). Non-engineering majors will require permission by the instructor.

An overview of systems engineering theory and techniques in Sustainable Engineering with a central focus on sustainability related applications.

Transformative technology will be examined to contrast and compare potential new solutions to sustainability issues. Appropriate technology as well as learnings from nature will then be applied to develop improved solutions in a project-based learning environment.

Introduction to engineering in a developing community context; frameworks for applying engineering and technology to achieve sustainable development goals; geo-political, historical, institutional, economic, cultural, and ethical perspectives. NOTE: Intro course for the Sustainable Development track and should be the first course taken for this 4 course track program.

Applied fundamentals in water, sanitation and environmental health for global development. Includes engineering design tools for water and sanitation infrastructure and leadership tools for sustainable solutions to global WASH challenges. Note: course part of International Development Track in Sustainable Engineering. Must be enrolled in one of the following levels: Graduate Engineering, or have prior consent of instructor.

Design thinking and empathetic design considerations; appropriate technologies; sustainable business model development; case studies of sustainable products developed for low resource settings. Note: course part of International Development Track in Sustainable Engineering Must be enrolled in one of the following levels: Graduate Engineering, or have prior consent of instructor. Prerequisites: EGR 7114 Intro to Sus Egr for Intl Dev or prior consent of instructor.

Open source software and mobile tools and platforms for development; low cost renewable energy technologies for energy access; applications in health care, water and sanitation, education, agriculture, financial inclusion and monitoring and evaluation.

Using observations from nature to provide sustainable solutions to our everyday needs. Key outcomes include whole system understanding of current solutions (benefits/issues), nature's capabilities, and new solutions by applying nature's capabilities to today's needs. Restricted to Engineering students or permission of instructor.

Generating and managing building data used for increasing productivity in building design, construction, and operation during complete life cycle of the structure.

Fundamentals of solar radiation, heat and fluid transport in active and passive solar collectors, solar ponds, solar cooling, and photovoltaic energy conversion. Analysis and design of active and passive solar systems. Needs undergrad material equivalent of ME 3100 and ME 3600.

Principles of the design & application of electrochemical power sources, including batteries, super capacitors, fuel cells, & hydrogen electrolysis. Applications include automotive, industrial, medical, telecommunications, & utilities. Prereq=CHM 1151 or equivalent.

Introduction to the system science and the decision science with focus on theoretical foundations and mathematical modeling. Topics: system design models, system architecture, probability theory, linear programming, non-linear programming, Bayesian analysis, Modeling and Simulation, optimization techniques, risk analysis, sensitivity analysis, and regression analysis.

This course is designed as an in-depth exploration of LCA issues and applications. Students will complete a baseline LCA semester team project then use sustainable product design techniques to reduce overall impacts of the product or material.

Sustainability practices from upstream sourcing from suppliers to manufacturing through delivery to customers and disposal and how these impact a company's triple bottom line. Topics include product/process design, green procurement, network management, life cycle assessment, performance measurement, risk management, among others.

Focuses on implementing sustainability and reducing impacts of buildings. Students will evaluate green building standards for New Construction and Existing Buildings and learn the principals of making buildings more sustainable. Restricted to College of Engineering students. Otherwise permission of instructor.

Review of dynamic process modeling, linearization, transfer function and state-space models. Stability and dynamics of open-loop and closed-loop systems. Feedback control system design and analysis in the frequency and time domain. Topics include: Bode, Nyquist, and Root locus design; multivariable control; feedforward control. Prerequisite: Undergraduate background in systems and control.

Introduction to digital control analysis & design techniques applied to discrete-time & sampled continuous-time systems. Sampling, difference equations, the Z-transform & modified Z-transform, discrete transfer function & state-space models, discrete-time regulator & observer design, stability of discrete-time systems, discrete linear quadratic regulator & linear quadratic Gaussian formulation. Prerequisite: EGR 8301 or equivalent with permission of the instructor.

Advanced treatment of nonlinear dynamical systems and control theory using modern techniques with applications. Topics include: Lyapunov stability theory, partial stability finite-time stability and control design, control Lyapunov functions, nonlinear optimal control, sliding mode control, and adaptive control.

Introduction to system identification techniques for linear systems. Topics include: non-parametric time- and frequency-domain methods, parametric model structures, noise models, parametrc estimation methods, recursive estimation, bias and data pre-filtering, validation methods.

Introduction to nonlinear dynamic analysis using analytical, graphical & numerical techniques. Linear system theory, the nonlinear pendulum, stability concepts, bifurcation theory, self-excited oscillations, overview of asymptotic methods, Floquet theory, Poincare maps, & chaos.

Introduction to feedforward control techniques with an emphasis on model-based methods. Design of feedforward inputs for linear systems, nonlinear systems, nonminimum phase systems, and systems with actuator redundancy; integration of feedforward and feedback; iterative control; dealing with plant uncertainty.

Advanced treatment of various aspects of nonlinear dynamics and control. Prerequisite: Depends on the topic covered each semester. Contact instructor for specific details.

Linear programs, non-linear programs, and integer programs. Gradient and steepest descent methods and Newton's method for constrained and unconstrained problems. Interior point methods including cutting planes and branch bound methods. Combinatoric optimization. Heuristic methods. Engineering applications of optimization. Prerequisite: ME 7000 (concurrency allowed) or instructor's permission.

Introductions to machine learning. Overview of optimization. Least mean square algorithm and regression analysis. Artificial neural networks, radial basis function, kernel learning and support vector machines. Decision trees. Genetic algorithms. Swarm intelligence. Bayesian techiniques. Hidden Markov Models. Hopfield network and Neurodynamics. Prerequisite: ME 7000 (concurrency allowed) or Instructor's permisson.

Chebyshev spectral collocation based trustworthy numerical solutions of linear and nonlinear differential equations with time varying coefficients encountered in various engineerng disciplines, applications to parameter estimation and control. Pre-requisites: ME 7000 or Instructor's approval

For students who are studying specific advanced interdisciplinary subject areas. Prior to the beginning of the term, the student must prepare a proposal describing the area to be studied. This proposal must be signed by the faculty supervisor and submitted to the Chairman of the Interdisciplinary Program Committee for approval.

Cover topics directly related to TOEFL sub scores. Listening and speaking will range from syllable structure and stress patterns to the intonation and rhythm of American English. Other topics will be added according to the individual needs of the students.

Non-credit writing course for non-native speakers of English. Topics include structure, organization, grammar and vocabulary. Lectures/textbook will provide information necessary for students to utilize in writing engineering papers. No grades assigned; attendance is necessary.

This course equips students with a mindset and evaluative tools to analyze and design a new generation of sustainable infrastructure, which is a complex, dynamic service system with multiple sectors, development stages, and impact potentials on the natural world.

Continuation of Sustainable Engineering degree-required research during the Summer

Provides work experience for a graduate student who has been offered an opportunity to work in the field of Sustainable Engineering. Required for curricular practical training. Permisson of Graduate Advisor.

For accepted Ph.D. candidates conducting research as part of the Doctorate of Engineering degree requirements. The chair of the student's guidance committee is responsible for evaluating the performance of the student.

Continuation of Doctoral Research course, EGR 9100. Must have completed minimum required credits (30) of EGR 9100.

Continuation of degree-required research during the summer.

Provide industry experience for purpose of career exploration and academic application. Permission of Research Advisor required.

Continuation of Professional Development/CPT. Permission of Research Advisor required.

This course, for Ph.D. students only, introduces contemporary theories of education at the collegiate level, and demonstrates many effective methods of engineering instruction. Students will develop teaching skills that will promote active learning in the college classroom.

This hands-on immersion style course provides an opportunity for students to practice the methods learned in EGR 9200 in a supervised environment. Students will work directly with a faculty mentor in their classroom environment observing and practicipating in effective engineering teaching methods. Students will also have a course classroom environment in which they will prepare for the academic job search process.

Required course for the PhD program in Engineering. Includes: communication; teamwork; interpersonal skills; time people, & project management; leadership vision & styles; strategic planning; employee empowerment; leadership in patents; entrepreneurially minded learning; safety and the environment; lifelong learning.

Required course for PhD student PD program Industry Track in Engineering. Includes: how innovation happens, is managed, and protected; how products and offerings are introduced and commercialized; the importance of safety, quality, and ethics; and the engineer's role in achieving business excellence and superior customer value. Restricted to PhD Student in Engineering