Computer assisted approach to the solution of engineering problems. Review and extension of undergraduate material in applied mathematics including linear algebra, vector calculus, differential equations, and probability and statistics. ...
Prerequisite: Permission of ENGR-CDL-Maryland Applied Graduate Engineering Education.

Energy & The Environment
Evaluates the trade-offs associted with thermal systems. Use of software for system simulation, evaluation and optimization. Applications include power and refrigeration systems, electronics cooling, distillation columns, dehumidifying coils, ... and co-generation systems.
Prerequisite: Undergraduate thermodynamics, fluid mchanics, heat transfer.

Energy & The Environment
Spring 2022 W 7:00pm - 9:40pm Brian Valentine
Covers the full range of technologies that utilize solar radiation for heating, cooling, lighting and electrical power generation, excluding photovoltaic applications. Topics include: Solar radiation calculations and predictions; Solar spectral ... characteristics, and diffuse and direct solar radiation; Passive solar applications; Heating; Daylighting; Thermal storage; Fenestration systems; Architectural design; Active solar applications for heating; Solar collectors; Water-based systems; ir-based systems; Domestic hot water heating; Space heating; Process heating; Cooling systems; Flat plate versus concentrating collectors; Fixed versus tracking collector systems; Solar thermal electrical power generation; Dish/Stirling engine systems; Linear concentrator systems; Power tower systems; Thermal storage; Combined cycle applications; Systems design and integration; Control systems and system operation; and Performance calculations and predictions.

Energy & The Environment
The applications selected will vary widely: from cooling of electronics to prevention of fog and stalagmite formation in ice rinks. Multi-mode (i.e. simultaneous conduction, convection, radiation, mass transfer) problems will be emphasized. ... Lectures on basic principles, followed by assignments in which students formulate solutions and explain results.

Energy & The Environment
Covers a wide range of energy management and energy efficiency topics including energy auditing, energy efficient lighting systems and motors, demand limiting and control, control strategies for optimization, direct digital control, integrated ... building automation systems, communication networks, distributed generation, cogeneration, combined heat and power, process energy management and the associated economic analyses. Included will be the latest internet based technologies for accessing real-time energy pricing and managing energy demand remotely for multiple buildings or campuses.
Background in thermodynamics, fluid mechanics, and heat transfer is recommended.

An examination of four central topics in wind energy engineering: the nature of wind energy as a resource for generating electricity; the aerodynamics of wind turbines by which the wind energy is converted into mechanical energy; the mechanics ... and dynamics of the wind energy system (tower, rotor, hub, drive train, and generator); and the electrical aspects of wind turbines. Additional topics to be included in the course include:Wind turbine design; wind turbine control; wind turbine siting, system design, and integration; Wind energy system economics; and wind energy systems environmental impacts and aspects. The course is intended to pass along substantial subject matter knowledge and skills, it can only be treated as an introduction to this extensive, multidisciplinary topic. However, students are expected to emerge with a substantial knowledge of wind energy systems and the methods used to analyze such systems.
Formerly: ENPM808Q.

Energy & The Environment
Provides students with fundamentals and applications of energy audit, modeling, and management in building energy systems. Energy audit procedures for electrical, lighting, mechanical and HVAC systems will be covered, and will include the economics/life-cycle ... costing analysis. Students will gain experience on conducting energy audit through real-world project(s). Building energy modeling tools, such as EnergyPlus and eQuest, will be introduced and implemented through assigned projects. The course coverage will also include contemporary topics such as energy management of mission critical facilities such as data centers, integrated building automation and control systems for energy efficiency, and real-time energy management for individual and network of buildings.
Students are expected to have prior knowledge of advanced undergraduate basic thermodynamics, heat transfer, and thermal transport processes. Knowledge of electrical systems and controls is desirable.

Included in this course is an introduction to thermodynamics, fluid mechanics and heat transfer. Emphasis is on gaining an understanding of the physical concepts through the solving of numerical problems associated with simple thermal fluid ... processes and cycles. Both ideal gases and multiphase fluids will be considered as the working fluids.
Prerequisite: Undergraduate engineering, physics or chemistry degree.

The course presents the ocean energy harvesting technologies: ocean thermal energy, wave energy, tidal energy and wind energy. To establish the baseline, current power generation technologies are reviewed.  First, ocean thermal energy conversion ... technology are studied in details.  To assist the design of ocean energy harvesting systems, fundamentals of heat transfer and fluid mechanics are summarized. Then wave, tidal and wind energy harvesting systems are studied.  For each subject, either literature reviews or representative system modeling will be conducted.  For the modeling, Engineering Equations Solver software is utilized. By applying underlying principles, the OTEC system is designed and its economy is analyzed as a final design project.

Energy and the Environment
This course is focused on PSIRE issues and, as a result, it is not intended to be a comprehensive reference for other related subjects such as RE. Due to the global nature of PSIRE development, we would make a great effort to represent a broad ... range of international perspectives. This course is organized into three sections based on the most relevant subjects on PSIRE: Vision and Drivers, Transmission, and Distribution,

This course will explore global mega-trends and sustainable development opportunities in multiple sectors - energy, mobility, buildings, materials, water, security and food/agriculture. The course will also cover solution pathways to sustainability ... challenges with a focus on technology, policy and business model enablers. Students will be made aware of the global sustainability challenges and current state of innovations in multiple sectors. They will explore and identify new solutions to sustainability challenges. Students will also learn how to create businesses based on sustainable development opportunities.

Spring 2022 M 3:30pm - 6:00pm Katrina Groth
Topics covered include: fundamental understanding of how things fail, probabilistic models to represent failure phenomena, life-models for non-repairable items, reliability data collection and analysis, software reliability models, and human ... reliability models.
Credit only granted for: ENRE445 or ENRE447. Formerly: ENRE445.

Advanced failure mechanisms in reliability engineering wiil be taught from a basic materials and defects point of view. The methods of predicting the physics of failure of devices, materials, components and systems are reviewed. The main emphasis ... will be given to basic degradation mechanisms through understanding the physics, chemistry, and mechanics of such mechanisms. Mechanical failures are introduced through understanding fatigue, creep and yielding in materials, devices and components. The principles of cumulative damage and mechanical yielding theory are taught. The concepts of reliability growth, accelerated life testing, environmental testing are introduced. Physical, chemical and thermal related failures are introduced through a basic understanding of degradation mechanisms such as diffusion, electromigration, defects and defect migration. The failure mechanisms in basic material types will be taught. Failure mechanisms observed in real electronic devices and electronic packaging will also be presented. Problems related to manufacturing, and microelectronics will be analyzed. Mechanical failures are emphasized from the point of view of complex fatigue theory.
Credit only granted for: ENMA698M, ENNU648M, or ENRE600.

Principal methods of reliability analysis, including fault tree and reliability block diagrams; Failure Mode and Effects Analysis (FMEA); event tree construction and evaluation; reliability data collection and analysis; methods of modeling ... systems for reliability analysis. Focus on problems related to process industries, fossil-fueled power plant availability, and other systems of concern to engineers.

Spring 2022 TuTh 12:30pm - 1:45pm Reuel Smith
Basic probability and statistics. Application of selected mathematical techniques to the analysis and solution of reliability engineering problems. Applications of matrices, vectors, tensors, differential equations, integral transforms, ... and probability methods to a wide range of reliability related problems.
Also offered as: ENNU620.

Why study risk, sources of risk, overview of Risk Assessment and Risk Management, relation to System Safety and Reliability Engineering; measures, representation, communication, and perception of risk; overview of use of risk assessment results ... in decision making; overview of Probabilistic Risk Assessment (PRA) process; detailed converge of PRA methods including (1) methods for risk scenario development such as identification of initiators, event sequence diagrams, event trees, causal modeling (fault trees, influence diagrams, and hybrid methods), and simulation approaches; (2) methods of risk scenario likelihood assessment, including quantitative and qualitative approaches, as well as uncertainty modeling and analysis. Also covers methods for risk modeling of system hardware behavior, physical phenomena, human behavior, software behavior, organizational environment, and external physical environment. Additional core topics include risk model integration and quantification (Boolean-based, binary decsion diagram, Bayesian belief networks, and hybrid methods), simulation-based Dynamic PRA methods (discrete and continuous) and several examples of large scale PRAs for space missions, nuclear power, aviation and medical systems.
Prerequisite: ENRE602. Also offered as: ENNU651. Credit only granted for: ENNU651 or ENRE670.

General Mechanical
Spring 2022 TuTh 2:00pm - 3:15pm Jeffrey Herrmann
In the course of engineering design, project management, and other functions, engineers have to make decisions, almost always under time and budget constraints. Managing risk requires making decisions in the presence of uncertainty. This course ... will cover material on individual decision making, group decision making, and organizations of decision-makers. The course will present techniques for making better decisions, for understanding how decisions are related to each other, and for managing risk.
Prerequisite: ENRE670. Credit only granted for: ENRE648W or ENRE671. Formerly: ENRE648W.

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.

This course continues the model-based approach to systems engineering by introducing students to a variety of mathematical modeling and simulation techniques used to perform system performance, optimization, and trade-off analyses. Topics include: ... linear and integer programming; state machine models of finite state machines; development of simple intelligent agents; modeling Markov processes; queueing theory; multi-objective trade-off analyses; decision trees; stochastic (Monte Carlo) simulation, linear regression, some predictive analytic techniques; and an introduction to control theory. Mathematical models and simulations are developed and executed using MATLAB. The course includes a class project in which students solve a problem of interest to them using one or more of techniques addressed in class.