Mechanical and Industrial Engineering

ENSY 5000. Fundamentals of Energy System Integration. (4 Hours)

Presents fundamental issues of successfully integrating and implementing energy systems. Exposes students to combined heat and power strategies (cogeneration system), strategies of incorporating renewable with nonrenewable energy sources, thermoeconomics, and carbon sequesteration techniques. Includes energy, exergy, and thermoeconomic cost factors in the presented case studies. Explores the effects of public policy, regulations, and financial operations on selecting energy technology. Students are given case studies to illustrate the complexity of implementing energy systems and are expected to complete a major project involving proposing an energy system. Emphasizes that successful implementation of energy systems requires both a technical and an economic solution. Requires calculus-based physics and chemistry.

ENSY 5050. Fundamentals of Thermal Science 1. (4 Hours)

Introduces and reviews thermodynamic properties such as temperature, pressure, energy, enthalpy, and entropy. Defines work and heat interactions and calculates the amount of energy transferred during thermodynamic processes. Introduces the first and second laws of thermodynamics and concepts of thermodynamic equilibrium. Discusses mass, energy, and entropy balance relations as well as conversion devices, such as turbine, compressors, pumps, valves, and energy exchangers. Studies simple power plants, refrigeration, heat (energy) pumps, and stationary gas turbine systems. Presents and reviews fundamentals of calculus, such as limit, differentiation, integration, power series, vector spaces, and multivariable functions needed for thermodynamic analysis.

ENSY 5060. Fundamentals of Thermal Science 2. (4 Hours)

Studies fundamental principles in fluid mechanics and thermal systems analysis. Topics include hydrostatics (pressure distribution, forces on submerged surfaces, and buoyancy); Newton’s law of viscosity; integral forms of basic laws (conservation of mass, momentum, and energy); pipe flow analysis; concept of boundary layer; and drag coefficient. Presents Navier-Stokes equations as differential forms of conservative properties. Introduces theories of thermal energy transport, including conduction, convection, and thermal radiation; the design of thermal systems; and fundamentals of calculus, such as linear algebra, vector fields, and curvilinear coordinate systems required for introducing concepts of fluid dynamics and heat transfer. Discusses surface and volume integrals, conservative vector fields, and surface flux. Green’s, divergence, and Stokes theorems are introduced for vector and scalar fields.

Prerequisite(s): ENSY 5050 with a minimum grade of C- or ENSY 5050 with a minimum grade of C-

ENSY 5100. Hydropower. (4 Hours)

Covers fundamentals of hydropowered development projects and their relevant design parameters. Emphasizes harnessing the hydro-energy potentials of both natural and man-made reservoirs. Reviews hydro- and electromechanical equipment and civil structure. Addresses selection procedure and design parameters of the equipment and structure.

ENSY 5200. Energy Storage Systems. (4 Hours)

Explores the various energy storage technologies, their working, and their practical applications. Focuses on the state-of-the-art review of current and most recent technologies. Offers students an opportunity to explore various innovations in the field of energy storage that can be helpful for fulfilling our current energy storage needs. Covers many different energy storage systems such as mechanical, chemical, electrochemical, thermal, thermochemical, etc.

ENSY 5300. Electrochemical Energy Storage. (4 Hours)

Covers the basics of electrode kinetics and thermodynamics as applied to electrochemical energy storage systems, as well as batteries and capacitors for traction and stationary power. Discusses the chemical structure of electrodes and electrolytes and practical battery construction.

ENSY 5400. Power Plant Design and Analysis. (4 Hours)

Reviews the fundamental laws of thermodynamics and balance equations for mass, energy, exergy, and entropy. Studies thermochemistry, chemical equilibrium, fuels and combustion, steam power plant cycle, gas turbine systems, thermo-economics, nuclear power plants, and energy recovery.

ENSY 5500. Smart Grid. (4 Hours)

Covers fundamentals of smart electric power grid. Covers definition, design criteria, and technology. Smart grid can be defined as the application of information processing and communications to the power grid. Seeks to motivate development of the smart grid, evaluating options for adding sensing, communications, computation, intelligence, control, and automation to various parts of the electric system. Topics include automation, or lack thereof, in existing power systems; generation; transmission; distribution; and smart grid definition.

ENSY 5585. Wind Energy Systems. (4 Hours)

Introduces wind energy and its applications. Integrates aerodynamics of wind turbine design with the structures needed to support them. Covers types of wind turbines, their components, and related analyses; airfoil aerodynamics; concepts of lift, drag, pitching moment, circulation, angle of attack, and stall; laminar and turbulent boundary layers and separation concepts; fundamental conservation equations; Bernoulli’s, Euler’s, and Navier-Stokes equations and their applications; Betz limit; computational fluid dynamics and its application for flow over typical airfoils; compressibility and elements of one-dimensional gas dynamics; wind resource; wind climatology and meteorological data; turbine tower and structural engineering aspects of turbines; vibration problems; aeroelastic phenomena in turbines; small wind turbines and vertical axis wind turbines; and introduces environmental and societal impacts and economic aspects.

ENSY 5600. Fundamentals of Solar Photovoltaic Energy Conversion. (4 Hours)

Focuses on the principles and working fundamentals of photovoltaic (PV) energy conversion, while emphasizing currently available solar technologies. Studies the semiconductor processes and advanced characterization theories. Examines design, fabrication, characterization of the PV modules, and different generations of solar cells and their properties. Advanced topics include thin film cells, compound semiconductors multijunction, multiband cells, spectral conversion, and introduces organic devices. Offers insight about the energy consumption crisis, sustainable energy sources, PV system components, and solar markets. Also discusses issues relating to PV systems, economics, and sustainability.

ENSY 5650. Geologic Energy Systems for Energy Generation and Carbon Sequestration. (4 Hours)

Focuses on the technical fundamentals of geologic energy resources. Covers specific applications such as geothermal heat pumps, geothermal power generation, as well as geologic energy storage and carbon sequestration. Offers students an opportunity to use software to perform technical and economic assessments of such systems, reinforcing fundamental concepts. Geologic energy systems are deemed to be a major solution to the grand challenge of meeting rising global energy demand while also decarbonizing the economy.

Prerequisite(s): (ME 2380 with a minimum grade of D ; ME 3475 with a minimum grade of D ; ME 4570 with a minimum grade of D ) or graduate program admission

ENSY 5700. Renewable Energy Development. (4 Hours)

Examines a unique blend of technological and commercial aspects of renewable energy development focused on solar and storage projects with a strong focus on distributed projects. Topics include an introduction to the Independent System Operator New England and generation markets; site selection and layout development; tilt and orientation calculations; shading analysis and interrow spacing requirements; energy production modeling; solar string designs; DC/AC ratios; National Electrical Code requirements/compliances; and wind load analysis. Introduces battery energy storage system sizing analysis and requirements for behind-the-meter and front-of-meter projects, as well as renewable portfolio standards and carbon analysis. Offers an overview of financial modeling and basic tax equity structures. Discusses case studies requiring substantial class participation to uncover practical aspects of project development.

ENSY 5800. Applications of Artificial Intelligence in Energy Systems. (4 Hours)

Covers fundamentals of artificial intelligence (AI) used in engineering applications for energy systems. Introduces a brief treatment of AI methods. Examines several AI methods, including search algorithms, decision making under uncertainty, graphical methods, and machine learning. Discusses a more thorough treatment for how AI is used for engineering applications in energy systems. Application areas include power generation, electric grid, renewables, and energy storage. Focuses on practical considerations, including economic opportunity, verification and validation, risks, and nontechnical challenges.

Prerequisite(s): ENSY 5000 with a minimum grade of C-

IE 1990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

IE 2310. Introduction to Industrial Engineering. (4 Hours)

Provides an overview of the history of industrial engineering and of the most common methods that industrial engineers use to solve problems and design efficient processes. The emphasis is on how these methods are used to study, improve, and/or optimize a product or process. Topics include work design, ergonomic design, engineering statistics, quality engineering, engineering economics, project management, and process optimization. Also discusses the design of the production processes, facilities, and material handling systems. Studies applications in manufacturing, product design, and service industries. Laboratory experiments and written reports are required.

Prerequisite(s): MATH 1340 with a minimum grade of D- or MATH 1341 with a minimum grade of D-

Corequisite(s): IE 2311

Attribute(s): NUpath Writing Intensive

IE 2311. Recitation for IE 2310. (0 Hours)

Provides small group demonstration and hands-on labs for IE 2310.

Corequisite(s): IE 2310

IE 2990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

IE 3412. Engineering Probability and Statistics. (4 Hours)

Presents probability theory axiomatically, with emphasis on sample space presentation of continuous and discrete random variables. Covers descriptive statistics, expected value of random variables, covariance and correlation, sampling distribution, and point and interval estimations. Introduces hypothesis testing including tests for means, variances, and proportions.

Prerequisite(s): MATH 2321 with a minimum grade of D-

Attribute(s): NUpath Analyzing/Using Data

IE 3425. Engineering Database Systems. (4 Hours)

Examines the representation of data and its creation and management in engineering enterprises. Discusses the client/server model of database access. Presents the fundamentals of data modeling and management, data mining and warehousing, multitier applications, and the use of the SQL query language. Emphasizes the use and applications of database systems in engineering including design and manufacturing. Topics include design schema of tables, records and fields of databases, SQL statements, security issues, and the use of a scripting language such as Perl or Visual Basic.

Prerequisite(s): GE 1111 with a minimum grade of D- or GE 1502 with a minimum grade of D-

Corequisite(s): IE 3426

IE 3426. Recitation for IE 3425. (0 Hours)

Provides small group demonstration and problem solving for IE 3425.

Corequisite(s): IE 3425

IE 3500. Introduction to Healthcare Systems Engineering. (4 Hours)

Introduces systems engineering methods in healthcare system applications for students who are not industrial engineering majors. Using principles drawn from operations research and industrial engineering, this course focuses on analysis, design, management, and control of health systems (e.g., hospitals, emergency departments, surgery departments, and outpatient clinics) and processes which are critical to the delivery of quality healthcare. Topics include an overview of queueing, simulation, data envelopment analysis, and spreadsheet modeling as applied to real-world healthcare problems such as staffing and scheduling, resource allocation, patient flow management, process improvement, and medical decision making.

Prerequisite(s): IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or PHTH 2210 with a minimum grade of D- or MGSC 2301 with a minimum grade of D-

IE 3990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

IE 4510. Simulation Modeling and Analysis. (4 Hours)

Covers process model design and development, validation, and experimentation for discrete-event simulation models. Topics include problem formulation, data collection and analysis, random-variable generation, model development, scenario experimentation, statistical analysis of output, and resultant decision management. Utilizes a major industry-standard simulation software application with animation capabilities.

Prerequisite(s): (GE 1111 with a minimum grade of D- or GE 1502 with a minimum grade of D- ); (IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D- )

IE 4512. Engineering Economy. (4 Hours)

Introduces students to economic modeling and analysis techniques for selecting alternatives from potential solutions to an engineering problem. Presents basic methods of economic comparison such as present worth, annual worth, rate of return, and benefit/cost techniques. Studies effects of taxes on investment analysis. Also covers decision tree analysis and statistical decision techniques.

IE 4515. Operations Research. (4 Hours)

Introduces deterministic models including linear programming; duality and postoptimality analysis; transportation and assignment problems; and network flow problems such as the shortest path, minimum spanning tree, and maximum flow.

Prerequisite(s): MATH 2341 with a minimum grade of D-

IE 4516. Quality Assurance. (4 Hours)

Reviews the distributions and statistical approximations commonly applied in statistical quality control methods. Introduces analysis of variance and simple linear regression. Covers basic principles to state-of-the-art concepts and application of statistical process control and design. Applies principles to a variety of products. Topics include product quality measures and controls, Shewhart control charts, quality cost, Pareto analysis, discrete and variable sampling, and military standards in quality control.

Prerequisite(s): IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D-

IE 4520. Stochastic Modeling. (4 Hours)

Covers the analytical development and solution to stochastic models in operations research. Topics include Markov chains, queuing theory, and dynamic programming.

Prerequisite(s): IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D-

IE 4522. Human-Machine Systems. (4 Hours)

Emphasizes and addresses human sensory and motor performance, information processing, learning and training methodology, skilled-task development, psychophysical models, response time, and relevant aspects of attention and memory. Topics include system design and development, hazard and error evaluation, and properties of effective visual displays. Endorses experimentation as a source of knowledge of human performance characteristics. Covers research and statistical analyses related to human-asset engineering, fundamentals of vision, audition, somesthesis, signal detection, and some aging effects. Safety and usability of environments, machines, products, and devices consider principles of human-machine interaction, decision making, and anthropometric characteristics. Laboratory experiences include literature review, experimental design, data collection and analysis, hypothesis testing, and generation of reports to inform the design of safe, usable, and marketable engineering products, processes, and systems.

Prerequisite(s): (IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D- ); (ENGL 1111 with a minimum grade of C or ENGL 1102 with a minimum grade of C or ENGW 1111 with a minimum grade of C or ENGW 1102 with a minimum grade of C )

Corequisite(s): IE 4523

IE 4523. Lab for IE 4522. (1 Hour)

Accompanies IE 4522. Covers topics from the course through various activities.

Corequisite(s): IE 4522

IE 4525. Logistics and Supply Chain Management. (4 Hours)

Introduces the analysis, design, control, and operation of logistics and supply chain management systems. Includes the integration of supply chain components, logistics information systems, forecasting, production scheduling, inventory management, transportation and warehousing, and facility location planning.

Prerequisite(s): (IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D- ); IE 4515 with a minimum grade of D-

IE 4530. Manufacturing Systems and Techniques. (4 Hours)

Focuses on manufacturing and design and their impact on each other. Covers the basics of design-manufacturing integration, manufacturing systems, manufacturing processes and techniques, manufacturing automation, and production planning and control. Topics include concurrent engineering, design for assembly, design for manufacturability, rapid prototyping, mechanical tolerancing, bill of materials, group technology, computer-aided process planning, NC part programming, programmable logic controllers, flexible manufacturing systems, computer-integrated manufacturing, and just-in-time philosophy. Topics also include traditional manufacturing processes such as casting, forming, machining, welding, molding, and particulate processing, and nontraditional manufacturing processes such as electrical discharge machining, laser machining, and water-jet machining. Students are required to conduct manufacturing-related experiments in the manufacturing lab to gain hands-on experience.

Corequisite(s): IE 4531

IE 4531. Lab for IE 4530. (1 Hour)

Accompanies IE 4530. Covers topics from the course through various activities.

Corequisite(s): IE 4530

IE 4625. Facilities Planning and Material Handling. (4 Hours)

Explores engineering tools, techniques, and concepts for the design of facilities. The term facility is defined broadly. Industrial plants, schools, hospitals, or places in which things are produced or services are provided to a customer are all considered facilities. Provide students with a broad but practical understanding of the facilities planning and design process. The critical nature of material handling is discussed and approaches to designing optimal handling systems are examined. The tools of operations, research, statistical methods, and software applications are the focus of the problem-solving activities.

Prerequisite(s): IE 3412 with a minimum grade of D- or MATH 3081 with a minimum grade of D-

IE 4699. Special Topics in Industrial Engineering. (4 Hours)

Focuses on advanced industrial engineering project agreed upon between the student and instructor. May be repeated without limit.

IE 4990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

IE 4991. Research. (4 Hours)

Offers an opportunity to conduct research under faculty supervision. May be repeated once.

Attribute(s): NUpath Integration Experience

IE 5137. Computational Modeling in Industrial Engineering. (4 Hours)

Builds computational models for industrial engineering applications. Offers students an opportunity to learn how to identify the problem, split it into subsystems, develop mathematical models of each sub-system, and implement in Python. Selected problems are specific to industrial engineering applications with examples of inventory systems, queuing systems, production planning and control, supply chain management, transportation, network flows, forecasting, scheduling, Monte Carlo simulation, regression analysis, sensitivity analysis, and decision support systems in data science and machine learning to test and learn from models. Students also have an opportunity to learn how to use Python libraries to implement the corresponding data structures and algorithms.

Prerequisite(s): GE 1111 with a minimum grade of D- or GE 1502 with a minimum grade of D- or graduate program admission

IE 5360. Digital Manufacturing. (4 Hours)

Presents a boot camp for programming in manufacturing through the lens of 3D printing and automation. Offers students an opportunity to develop a skill set in Python and PLC programming. Covers how to write in G-code, using Python to control CNC machines; writing 3D processing code; and making restful APIs for 3D printers. Introduces how to develop web-connected infrastructure useful for automation, as well as PLC programming to enable web-connected manufacturing systems, scaffolding knowledge from a math background in multivariable calculus.

IE 5374. Special Topics in Industrial Engineering. (4 Hours)

Offers topics of current interest in industrial engineering. May be repeated up to two times.

IE 5380. Integrated Automation. (4 Hours)

Incorporates the concepts needed to integrally run and manage a set of automated systems in a manufacturing environment. Reviews manufacturing systems and techniques, and characterizes core drives such as control systems, the required hardware (sensors and actuators), robotic arm infrastructure, delivery system, machine vision, and integrated communication. Also covers the storage systems for production, integration uncertainties, failure modes, facts, and troubleshooting topics.

IE 5390. Structured Data Analytics for Industrial Engineering. (4 Hours)

Covers fundamental knowledge and skills for using structured data analytics for IE applications. Offers students an opportunity to learn data cleaning and preparation, as well as analytics of data sets, and coding in VBA (writing macros and creating GUI), both as a driver of spreadsheet formulas and as a stand-alone programming language. A final project involves the development and presentation of a structured data analytics application that addresses industrial engineering concepts.

Prerequisite(s): (IE 4515 with a minimum grade of D- or OR 6205 with a minimum grade of C- ); (IE 3412 with a minimum grade of D- or IE 6200 with a minimum grade of C- )

IE 5400. Healthcare Systems Modeling and Analysis. (4 Hours)

Discusses the key functions of healthcare operations management, such as patient and process flow, process improvement, facility layout, staffing and scheduling, capacity planning, and resource allocation. Focuses on analysis, design, management, and control of health systems and processes that are necessary to provide clinical care. The applications of systems engineering methods, such as optimization, simulation, and queuing models, are discussed through papers and case studies in different care settings (e.g., hospitals, emergency departments, surgery departments, and outpatient clinics) for different diseases (e.g. diabetes, cancer, mental health, cardiovascular disease). Uses spreadsheet tools to model and solve simulation and optimization problems. Requires equivalent course work if prerequisites are not met.

Prerequisite(s): IE 4515 with a minimum grade of D- or OR 6205 with a minimum grade of C-

IE 5500. Systems Engineering in Public Programs. (4 Hours)

Introduces the design, development, analysis, and application of mathematical modeling for addressing public programs and societal needs. Systems engineering and mathematical models form the basis for decision making in both public and private applications. Focusing on societal applications, offers students an opportunity to discover how to incorporate public objectives and characteristics of large systems in the development of models and policies. Examines applications in the operation of public programs (e.g., public health systems, government programs) and public safety (e.g., security, emergency preparedness, and disaster response). Modeling techniques include game theory, data envelopment analysis, cost-benefit analysis, simulation, differential equations, and stochastic optimization. Requires equivalent course work if prerequisites are not met.

Prerequisite(s): (IE 4515 with a minimum grade of D- or OR 6205 with a minimum grade of C- ); (IE 3412 with a minimum grade of D- or IE 5374 with a minimum grade of D- or MATH 3081 with a minimum grade of D- or IE 5374 with a minimum grade of C- (Graduate) or IE 6200 with a minimum grade of C- or IE 6400 with a minimum grade of C- )

IE 5617. Lean Concepts and Applications. (4 Hours)

Covers the fundamentals of lean thinking and how to apply this knowledge to practical problems. Lean thinking is imperative for organizations aspiring to stay competitive in global markets. It calls for process changes to eliminate waste, shorten product delivery time, improve product quality, and curtail costs, while improving customer satisfaction. Offers students an opportunity to learn concepts, a kit of process improvement tools, implementation methods, and best practices for lean workforce development. Makes extensive use of active learning exercises and simulations, and case studies from different disciplines, to help students learn how lean principles are applied in manufacturing and also in less traditional areas such as knowledge work and healthcare systems.

Corequisite(s): IE 5618

IE 5618. Recitation for IE 5617. (0 Hours)

Accompanies IE 5617. Provides small group demonstrations, exercises, and team activities.

Corequisite(s): IE 5617

IE 5630. Biosensor and Human Behavior Measurement. (4 Hours)

Emphasizes the measurement of human behavior in complex human-machine interaction. Topics include introduction of complex human-machine interactions; research methods in complex human-machine interactions; various kinds of human psychophysiological signals/cues, including physiological cues, facial expressions, eye-gaze movement, head movement, contextual cues; human cues and behavior relationship; transducers and measurement for these human cues/signals; basic principles of biosensors; general classification of biosensors; current technologies for building biosensors; conventional transducers and new technologies including micro-/nanotechnology; general systematic design process for biosensors; application of biosensors to understand human behavior in human-machine interactions. Also introduces the latest relevant research advancements in sensor fusion, affective computing, and emotion recognition.

IE 5640. Data Mining for Engineering Applications. (4 Hours)

Introduces data mining concepts and statistics/machine learning techniques for analyzing and discovering knowledge from large data sets that occur in engineering domains such as manufacturing, healthcare, sustainability, and energy. Topics include data reduction, data exploration, data visualization, concept description, mining association rules, classification, prediction, and clustering. Discusses data mining case studies that are drawn from manufacturing, retail, healthcare, biomedical, telecommunication, and other sectors.

IE 5976. Directed Study. (1-4 Hours)

Offers theoretical or experimental work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated up to a maximum of 12 total semester hours.

ME 1990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

ME 2340. Introduction to Material Science. (4 Hours)

Introduces the materials science field, which emphasizes the structure-processing property-performance relationships for various classes of materials including metals, ceramics, polymers, electronic materials, and magnetic materials. Topics include crystallography, structure of solids, imperfections in crystals, mechanical properties, dislocation theory, slip, strengthening mechanisms, phase equilibrium, phase transformations, diffusion, thermal and optical physical properties, and electrical and magnetic properties. Issues associated with materials selection, including economic and environmental consequences of materials choices, are also addressed. Laboratory experiments, with written memo and report submissions, are required. Includes individual and team-based projects.

Prerequisite(s): (CHEM 1151 with a minimum grade of D- or CHEM 1161 with a minimum grade of D- or CHEM 1211 with a minimum grade of D- ); (ENGL 1111 with a minimum grade of C or ENGL 1102 with a minimum grade of C or ENGW 1111 with a minimum grade of C or ENGW 1102 with a minimum grade of C )

Corequisite(s): ME 2341

Attribute(s): NUpath Writing Intensive

ME 2341. Lab for ME 2340. (1 Hour)

Accompanies ME 2340. Covers topics from the course through various activities.

Corequisite(s): ME 2340

ME 2350. Statics. (4 Hours)

Introduces the vector representation of force and moment, the equivalent force systems, free body diagrams, and equations of equilibrium. Discusses centroids and center of gravity of rigid bodies. Examines applications to beams, trusses, and pin-connected frames and elementary concepts of friction. Discusses variation of internal forces and moments for beams and cable systems. Theory of dry friction is implemented in simple machine elements. Introduces the concepts of virtual work and potential energy. Includes a design project that demonstrates the fundamental concepts of equilibrium.

Prerequisite(s): (PHYS 1151 with a minimum grade of D- or PHYS 1161 with a minimum grade of D- or PHYS 1171 with a minimum grade of D- ); MATH 1342 with a minimum grade of D-

ME 2355. Mechanics of Materials. (4 Hours)

Discusses concepts of stress and strain; transformation of stress and strain at a point; stress-strain relations material properties; second moments of cross-sectional areas; stresses and deformations in simple structural members due to axial torsional, and flexural loading for statically determinate and indeterminate cases; design of beams under combined loading; and stability of structures and buckling of columns with various supports. Laboratory experiments and written reports are required.

Prerequisite(s): ME 2350 with a minimum grade of D- or CIVE 2221 with a minimum grade of D-

Corequisite(s): ME 2356

ME 2356. Lab for ME 2355. (1 Hour)

Accompanies ME 2355. Covers topics from the course through various activities.

Corequisite(s): ME 2355

ME 2380. Thermodynamics. (4 Hours)

Defines and calculates thermodynamic properties such as energy, entropy, temperature, and pressure. Work and heat interactions are defined. The first and second laws of thermodynamics and concepts of thermodynamic equilibrium are introduced. Conservation of energy and mass and the entropy balance relation are discussed for open and closed systems. Irreversibility, energy, and the energy balance relation are introduced and applied in analyzing thermodynamic systems. Fundamentals of thermodynamics are used to model power generation and refrigeration systems. Covers thermodynamics of nonreacting gas mixtures with applications to air-water vapor mixtures for air-conditioning systems.

Prerequisite(s): MATH 2321 with a minimum grade of D- ; (PHYS 1151 with a minimum grade of D- or PHYS 1161 with a minimum grade of D- )

Corequisite(s): ME 2381

ME 2381. Recitation for ME 2380. (0 Hours)

Accompanies ME 2380. Offers demonstrations and and opportunities for problem solving.

Corequisite(s): ME 2380

ME 2990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

ME 3455. Dynamics. (4 Hours)

Treats the kinematics and kinetics of particles by using force, mass and acceleration, and energy and momentum methods. Investigates kinematics of rigid bodies in general plane motion. Introduces mass moment of inertia; kinetics of rigid bodies by using force-mass-acceleration, work and energy, and impulse and momentum methods; and free and forced vibration of undamped and damped one-degree-of-freedom systems.

Prerequisite(s): (ME 2350 with a minimum grade of D- or CIVE 2221 with a minimum grade of D- ); MATH 2341 with a minimum grade of D-

Corequisite(s): ME 3456

ME 3456. Lab for ME 3455. (1 Hour)

Accompanies ME 3455. Covers topics from the course through various activities.

Corequisite(s): ME 3455

ME 3460. Robot Dynamics and Control. (4 Hours)

Covers fundamental components and mechanisms of robotic systems and their multidisciplinary nature. Introduces the robot’s kinematics, dynamics, and control. Presents a quick overview of forward and inverse kinematics, robot dynamics, as well as path planning and control techniques. Topics also include dynamic modeling and analysis of mechanically, electrically, and magnetically driven hydraulic and pneumatic drives; kinematics and motion analysis of linkages; as well as sensing technologies (e.g., position, linear and angular displacements, velocity and acceleration, force and torque sensors) used in robotic systems. Presents kinematics and control of automatic machinery and manufacturing processes, automatic assembly, and inspection robotic systems as representative examples.

Prerequisite(s): CS 3650 with a minimum grade of D- or MATH 2331 with a minimum grade of D- or MATH 2341 with a minimum grade of D-

ME 3465. Introduction to Flight. (4 Hours)

Presents the fundamentals of aerospace engineering at the introductory level. Covers historical developments and background associated with aerospace engineering in parallel with technical discussions. Introduces thermodynamic analyses of flowing gasses and derivations of the governing equations accompanying the anatomy of airplanes and space vehicles. Studies basics of fluid dynamics such as continuity, momentum and energy equations, and isentropic flows. Discusses shapes, designs, characteristics, and usage of different aerodynamic shapes and their corresponding lift, drag, and momentum coefficients. Explores the elements of airplane performance in level flight, takeoff, and landing. Covers the introduction to the dynamics of flight, stability, and control of the airplanes and astronautic vehicles. Designed for students interested in an introductory course in aerospace engineering and the fundamentals and historical traditions of aerodynamics of flight.

Prerequisite(s): MATH 2321 with a minimum grade of D- ; (PHYS 1151 with a minimum grade of D- or PHYS 1161 with a minimum grade of D- ); ME 2380 with a minimum grade of D-

ME 3470. Aeronautical Propulsion. (4 Hours)

Introduces basics for the analysis and design of aircraft engines and reviews the history of gas turbine engines. Introduces general conservation laws of mass, energy, and momentum for compressible flows and application to quasi-one-dimensional internal flows and shock waves in external flows. Reviews thrust and thermodynamic performance of the engines. Discusses designing parameters of the inlets in detail. Uses the principles of chemical equilibrium to calculate the composition of combustion products in a chemical reaction to find flame temperature and energy release, which drive the design of combustors and afterburners. Introduces physics and aerodynamics of compressors and turbines, and reviews basics of gas turbine blades cooling.

Prerequisite(s): ME 2380 with a minimum grade of D-

ME 3475. Fluid Mechanics. (4 Hours)

Studies fundamental principles in fluid mechanics. Topics include hydrostatics (pressure distribution, forces on submerged surfaces and buoyancy); Newton’s law of viscosity; dimensional analysis; integral forms of basic laws (conservation of mass, momentum, and energy); pipe flow analysis; differential formulation of basic laws including Navier-Stokes equations; and the concept of boundary layer and drag coefficient. Includes a team-based independent project.

Prerequisite(s): MATH 2321 with a minimum grade of D- ; ME 2380 with a minimum grade of D-

ME 3480. International Applications of Fluid Mechanics. (4 Hours)

Studies fundamental principles in fluid mechanics in an international setting. Students have an opportunity to travel to a foreign locale to develop theoretical understanding while experiencing the issues that affect applications of fluids engineering in a culture and environment different from their own. Topics include hydrostatics (pressure distribution, forces on submerged surfaces, and buoyancy); Newton’s law of viscosity; dimensional analysis; integral forms of basic laws (conservation of mass, momentum, and energy); pipe flow analysis; differential formulation of basic laws including Navier-Stokes equations; and the concept of boundary layer and drag coefficient. Includes a team-based independent project that focuses on applications that allow students to delve into issues that affect engineering and technology development in their host country.

Prerequisite(s): MATH 2321 with a minimum grade of D- ; ME 2380 with a minimum grade of D-

ME 3990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

ME 4505. Measurement and Analysis with Thermal Science Application. (4 Hours)

Introduces basic measurements and data analysis techniques. Offers students an opportunity to become familiar with various types of measurement systems and to set up and perform experiments according to a given procedure. Covers basic measurement methods of rotational frequency; temperature, pressure, and power; and analog-to-digital conversion techniques and data acquisition. Data analysis topics include statistical analysis of data, probability and inherent uncertainty, basic measurement techniques, primary and secondary standards, system response characteristics, and computerized data acquisition methods. Includes experiments in thermodynamics, fluid mechanics, and heat transfer. Topics include cycle performance, flow discharge coefficient and heat transfer coefficient measurements, and psychometric applications in the air-conditioning field.

Prerequisite(s): ME 2380 with a minimum grade of D-

Corequisite(s): ME 4506

Attribute(s): NUpath Analyzing/Using Data

ME 4506. Lab for ME 4505. (1 Hour)

Accompanies ME 4505. Covers topics from the course through various activities.

Corequisite(s): ME 4505

ME 4508. Mechanical Engineering Computation and Design. (4 Hours)

Highlights the role of finite element analysis in product development. Introduces the theory of finite elements in elastic/plastic, static, and transient problems. Emphasis is on solid modeling in design using available commercial finite element software. Also covers other numerical techniques such as finite difference schemes in the solution of systems of partial differential equations, and numerical solution to systems of linear and nonlinear equations.

Prerequisite(s): (ME 2355 with a minimum grade of D- ; MATH 2341 with a minimum grade of D- ) or (BIOE 2350 with a minimum grade of D- ; (GE 2361 with a minimum grade of D- or MATH 2341 with a minimum grade of D- ))

ME 4520. Mechanical Vibration. (4 Hours)

Covers concepts in mechanical vibration analysis. Topics include basic concepts of vibrations, vibration problems vs.dynamic problems, linear vs. nonlinear vibrations, vibrational elements, harmonic motion; free vibration of undamped SDOF systems, stability, Rayleigh's energy method, free vibration of viscously damped SDOF systems, free vibration of damped SDOF systems with Coulomb and hysteretic damping; harmonically forced SDOF systems, harmonic motion of base and rotating unbalance, forced vibrations of Coulomb-damped and hysteresis-damped SDOF systems, general (nonperiodically) forced vibrations; free and forced vibrations of 2 DOF systems, damped vibrations, general eigenvalue problem, vibration measuring instruments; tuned vibration absorbers, passive and active vibration absorbers, vibration-control systems (passive, semiactive, and active), modal analysis software, and illustrative examples.

Prerequisite(s): MATH 2341 (may be taken concurrently) with a minimum grade of D- ; ME 3455 (may be taken concurrently) with a minimum grade of D-

ME 4550. Mechanical Engineering Design. (4 Hours)

Explores development of the mechanical design process and its open-ended nature. Reviews fundamentals of stress and theories of failure including fatigue considerations in the analysis of various machine components. Treatment is given to shafts, springs, screws, connections, lubrications, bearings, gears, and tolerances. Includes team-based design projects that involve modeling and the design process.

Prerequisite(s): ME 2355 with a minimum grade of D-

ME 4555. System Analysis and Control. (4 Hours)

Presents the theoretical backgrounds for the analysis and design of simple feedback control systems, differential equations, and Laplace transforms. Treats system modeling, linear approximations, transfer functions, and block diagrams; and transient and frequency response and stability-frequency domain and root locus methods. Other topics may include linear systems with time lag and relay servomechanisms with small nonlinearities.

Prerequisite(s): ME 3455 with a minimum grade of D- or (BIOE 2350 with a minimum grade of D- ; BIOE 3380 with a minimum grade of D- )

ME 4565. Introduction to Computational Fluid Dynamics. (4 Hours)

Introduces numerical methods applied to solve fluid flow problems. Includes basic mathematics and physics related to computational fluid dynamics (CFD), together with practical assignments that use commercial CFD packages. Emphasizes finite difference and finite volume methods. Other topics include mathematical properties of partial differential equations, accuracy and stability analysis of numerical solution, CFD verification and validation, application to variety of fluid dynamics problems, grid generation, and turbulence modeling.

Prerequisite(s): (ME 3475 with a minimum grade of D- or ME 3480 with a minimum grade of D- or BIOE 3310 with a minimum grade of D- ); (MATH 2341 with a minimum grade of D- or GE 2361 with a minimum grade of D- )

ME 4570. Thermal Systems Analysis and Design. (4 Hours)

Introduces theories of thermal energy transport, including conduction, convection, and thermal radiation, and the design of thermal systems. Solution methods are developed for steady-state and transient conduction problems including thermal circuit analogies, internal energy sources and extended surfaces. Convective heat transfer mechanisms are introduced and correlations to evaluate the heat transfer coefficient are discussed. Methodologies for calculating the thermal radiation heat transfer between surfaces are introduced. These theories are integrated with thermodynamics and fluid mechanics in the design of thermal systems, including heat exchangers. Includes an open-ended design project and students are expected to use computational methods throughout the course.

Prerequisite(s): ME 2380 with a minimum grade of D- ; (ME 3475 with a minimum grade of D- or ME 3480 with a minimum grade of D- )

ME 4630. Ceramic Science and Engineering. (4 Hours)

Examines the structure-property relationship of ceramics, focusing mostly on modern engineered ceramics and glasses. Ceramics are broadly defined as materials that are inorganic and nonmetallic and so encompass an extremely broad range of materials and material properties. Discusses their structures from the atomic through the microstructural level and properties from across the thermal, mechanical, optical, electrical, and chemical spectrum. Considers the ideal crystalline and glassy structures, as well as the crucial role of point, linear, and planar defects. Relates phase equilibria and transformations to a survey of modern techniques for ceramic and glass fabrication.

Prerequisite(s): ME 2340 with a minimum grade of D-

ME 4640. Mechanical Behavior and Processing of Materials. (4 Hours)

Continues studies of the physical basis for the mechanical behavior of solid materials including elasticity, plasticity, viscoelasticity, fracture, fatigue, and creep properties. Also covers materials processing and includes casting, forming, joining, and machining.

Prerequisite(s): ME 2340 with a minimum grade of D- ; ME 2355 with a minimum grade of D-

ME 4670. Internal Combustion Engine. (4 Hours)

Presents the concepts and theories of operation of internal combustion engines based upon the fundamental engineering sciences of thermodynamics, gas dynamics, heat transfer, and mechanics. Discusses the design and operating characteristics of conventional spark-ignition, compression-ignition, Wankel, and stratified charge. Explores the relationship between vehicle load and engine load through differential and transmission gear-ratio selections. Includes laboratory experiments.

Prerequisite(s): ME 2380 with a minimum grade of D- ; (ME 3475 with a minimum grade of D- or ME 3480 with a minimum grade of D- )

ME 4699. Special Topics in Mechanical Engineering. (4 Hours)

Focuses on an advanced mechanical engineering project agreed upon between the student and instructor. May be repeated without limit.

ME 4970. Junior/Senior Honors Project 1. (4 Hours)

Focuses on in-depth project in which a student conducts research or produces a product related to the student’s major field. Combined with Junior/Senior Project 2 or college-defined equivalent for 8-credit honors project. May be repeated without limit.

ME 4971. Junior/Senior Honors Project 2. (4 Hours)

Focuses on second semester of in-depth project in which a student conducts research or produces a product related to the student’s major field. May be repeated without limit.

Prerequisite(s): ME 4970 with a minimum grade of D-

ME 4990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

ME 4991. Research. (4 Hours)

Offers an opportunity to conduct research under faculty supervision. May be repeated once.

Attribute(s): NUpath Integration Experience

ME 4992. Directed Study. (1-4 Hours)

Offers theoretical or experimental work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated without limit.

ME 5240. Computer Aided Design and Manufacturing. (4 Hours)

Covers basic aspects of computer graphics and CAD/CAM. Topics include hardware and software concepts, generic structure of CAD/CAM software and its modules, and CAD/CAM database structure. Also covers the parametric representations of curves, surfaces, solids, and features that are widely used in existing commercial CAD/CAM systems. Discusses geometrical transformations, CAD/CAM data exchange formats, prototyping techniques, and PDM. Presents applications such as mass properties calculations, assemblies, mechanical tolerancing, simulation, finite element mesh generation, process planning and CAPP, CNC part programming, and Web-based CAD/CAM.

Prerequisite(s): GE 1110 with a minimum grade of B or GE 1501 with a minimum grade of B or graduate program admission

ME 5245. Mechatronic Systems. (4 Hours)

Covers integration of electronic/electrical engineering, computer technology, and control engineering with mechanical engineering to provide a self-contained, modern treatment of mixed systems along with their computer simulation and applications. Topics include mixed-systems integration; sensors, actuation systems; brief overview of dynamic systems modeling, response characterization, and closed-loop controllers; interfacing; data presentation systems and processes; microprocessors; real-time monitoring and control; and applications of mechatronic systems. The course also offers numerous MATLAB/Simulink examples of select mechatronic systems and devices along with open-ended design projects and assignments.

Prerequisite(s): ME 4555 with a minimum grade of C or ME 5659 with a minimum grade of C or ME 5659 with a minimum grade of C

ME 5250. Robot Mechanics and Control. (4 Hours)

Covers kinematics and dynamics of robot manipulators, including the development of kinematics equations of manipulators, the inverse kinematics problem, and motion trajectories. Employs Lagrangian mechanics to cover dynamics of manipulators for the purpose of control. Covers control and programming of robots, steady state errors, calculations of servoparameters, robot vision systems and algorithms, as well as imaging techniques and the concept of mobile robots.

Prerequisite(s): ME 4555 with a minimum grade of D- or graduate program admission

ME 5374. Special Topics in Mechanical Engineering. (4 Hours)

Offers topics of current interest in mechanical engineering.

ME 5520. Fundamentals and Applications of Optics and Photonics. (4 Hours)

Introduces the basic knowledge and recent development in the field of optics and photonics. Explains the property of light from four perspectives: geometric optics, wave optics, electromagnetic optics based on Maxwell’s equations, as well as quantum mechanics. Discusses the interactions between light and materials, ranging from bulk to nano and molecular level. Presents representative applications, particularly in the domain of mechanical engineering, which include imaging and microscopy, photolithography, 3D laser printing, solar desalination, radiative cooling, optical tweezers to manipulate micro/nano objects, and solar sails for spacecraft propulsion.

Prerequisite(s): (PHYS 1155 with a minimum grade of D or PHYS 1165 with a minimum grade of D ) or graduate program admission

ME 5554. Robotics Sensing and Navigation. (4 Hours)

Examines the actual sensors and mathematical techniques for robotic sensing and navigation with a focus on sensors such as cameras, sonars, and laser scanners. These are used in association with techniques and algorithms for dead reckoning and visual inertial odometry in conjunction with GPS and inertial measurement units. Covers Kalman filters and particle filters as applied to the SLAM problem. A large component of the class involves programming in both the ROS and LCM environments with real field robotics sensor data sets. Labs incorporate real field sensors and platforms. Culminates with both an individual design project and a team-based final project of considerable complexity.

Prerequisite(s): ((MATH 3081 with a minimum grade of D- or EECE 3468 with a minimum grade of D- ); (EECE 2160 with a minimum grade of D- or EECE 2210 with a minimum grade of D- )) or graduate program admission

ME 5600. Materials Processing and Process Selection. (4 Hours)

Covers the fundamentals and usage of processes and techniques for bulk, thick film, thin film, and patterned structures. Covers techniques for improvement of mechanical or functional properties, for reliability, or for operation in harsh environments. Includes case studies for which processes are selected based on efficacy, material input, and cost. Systems studied include biocompatible implants and materials for the telecommunication, semiconductor, energy, and aerospace industries.

ME 5620. Fundamentals of Advanced Materials. (4 Hours)

Offers a deep dive into the interdisciplinary field of materials science that addresses the discovery, design, and prediction of new materials, with an emphasis on solids. Offers students an opportunity to gain knowledge and practice in issues of materials science. Consists of fundamentals, properties (emphasis on electronic properties), applications, and advanced topics. Provides specific readings from the literature assigned to support the in-class lectures. Offers a variety of opportunities to practice and demonstrate comprehension and learning.

Prerequisite(s): ME 2340 with a minimum grade of D- or graduate program admission

ME 5630. Nano- and Microscale Manufacturing. (4 Hours)

Introduces students to nano- and microscale manufacturing of applications in electronics, energy, materials, and life sciences. Offers students an opportunity to understand conventional fabrication approaches to making today’s consumer electronics (top-down). Presents new and emerging bottom-up manufacturing approaches, including additive manufacturing for making electronics and other applications.

ME 5640. Additive Manufacturing. (4 Hours)

Discusses fundamentals, process characteristics, and practical applications of various additive manufacturing (AM) processes. Covers digital workflow for AM, implications of AM on design, material for AM and material properties, energy sources and interaction with materials, AM processes, process characteristics and capabilities, process models, design of experiments and Taguchi methods for AM process parameter optimization, postprocessing of AM parts, process defects, and the Ansys AM module.

ME 5645. Environmental Issues in Manufacturing and Product Use. (4 Hours)

Explores environmental and economic aspects of different materials used in products throughout the product life cycle. Introduces concepts of industrial ecology, life cycle analysis, and sustainable development. Students work in teams to analyze case studies of specific products fabricated using metals, ceramics, polymers, or paper. These case studies compare cost, energy, and resources used and emissions generated through the mining, refining, manufacture, use, and disposal stages of the product life cycle. Debates issues in legislation (extended product responsibility, recycling mandates, and ecolabeling) and in disposal strategies (landfill, incineration, reuse, and recycling). Discusses difficulties associated with environmental impact assessments and the development of decision analysis tools to weigh the tradeoffs in technical, economic, and environmental performance, and analyzes specific case studies.

ME 5650. Advanced Mechanics of Materials. (4 Hours)

Covers stress, strain, and deformation analysis of simple structures including beams, plates, and shells. Topics include classical theory of circular and rectangular plates; combined effects of bending and in-plane forces; buckling of plates; effects of shear deformation and of large deflections; membrane theory of shells; analysis of cylindrical shells; introduction to energy methods with applications to beams, frames, and rings; Ritz method; and the concept of stability as applied to one and two degree-of-freedom systems buckling of bars, frames, and rings. Permission of instructor required for undergraduate students.

ME 5653. Inelasticity. (4 Hours)

Introduces models suitable for rate-independent and rate-dependent plasticity, creep, viscoplasticity, viscoelasticity, and damage. Emphasizes the interdisciplinary nature of nonlinear constitutive theories. Offers students an opportunity to understand the phenomenological aspects of nonlinear and time-dependent material behavior and to obtain the ability to develop and use mathematical models that describe inelastic deformation behavior.

Prerequisite(s): ME 2355 with a minimum grade of D- or graduate program admission

ME 5654. Elasticity and Plasticity. (4 Hours)

Covers stress and strain analysis in continuous media. Analyzes Cartesian tensors using indicial notation; stress and strain concepts; point stress and strain; relation to tensor concepts; equations of equilibrium and compatibility; constitutive laws for elastic, general, axisymmetric, plane stress, and plane strain formulations and solutions; the relation of elasticity to structural mechanics theories; physical basis of plastic/inelastic deformation of solids; and constitutive descriptions of plasticity including yielding, hardening rules, Prandtl-Reuss constitutive laws, and viscoplasticity.

Prerequisite(s): ME 4550 with a minimum grade of B- or graduate program admission

ME 5655. Dynamics and Mechanical Vibration. (4 Hours)

Covers dynamic response of discrete and continuous media. Topics include work and energy, impulse and momentum, Lagrangian dynamics, free and forced response to periodic and transient excitations, vibration absorber, free and forced response of multiple degree-of-freedom systems with and without damping, method of modal analysis, vibrations of continuous media such as extensional, torsional, and bending vibrations of bars, and approximate methods of analysis. Permission of instructor required for undergraduate students.

ME 5657. Finite Element Method 1. (4 Hours)

Focuses on numerical techniques for solving engineering problems. Topics include introduction to the finite element method; methods of approximations and variational methods; Rayleigh-Ritz method and Galerkin formulation; interpolation functions; truss, beam, plate, shell, and solid elements; stiffness matrix and assembly of element equations; application of finite element method in fluid and heat transfer problems; linear, nonlinear, and transient problems; numerical integration and methods of solving systems of equations for static and dynamic problems; and use of a finite element general-purpose commercial package. Permission of instructor required for undergraduate students.

ME 5658. Continuum Mechanics. (4 Hours)

Covers the stresses, strains, and displacements in general continuous media. Topics include vector and tensor calculus; definitions of stress, strain, and deformation; kinematics of a continuous medium; material derivatives; rate of deformation tensor, finite strain, and deformation; Eulerian and Lagrangian formulations; geometric measures of strain; relative deformation gradient, rotation, and stretch tensors; compatibility conditions; general principles; conservation of mass; momentum principles; energy balance; constitutive theories of materials (i.e., heat conduction, fluid mechanics, elastic solids, nonlinear elasticity, inelastic deformation of solids); variational principles; introduction to the nonlinear finite element formulations for solids, such as nonlinearities in solid mechanics, governing equations (strong form and weak form), finite element approximation, Newton-Raphson method, Lagrangian finite elements (total and updated Lagrangian approaches), and solution procedure.

Prerequisite(s): ME 4550 with a minimum grade of B- or graduate program admission

ME 5659. Control Systems Engineering. (4 Hours)

Covers concepts in design and control of dynamical systems. Topics include review of continuous-time system modeling and dynamic response; principles of feedback, classical and modern control analyses, and design techniques such as root locus, frequency response (e.g., Bode plots and Nyquist Criteria), and state-space feedback; dynamic analysis, design, and control of electromechanical systems; block diagram algebra or signal-flow graphs, effects of poles and zeros on system response characteristics; principles of controllability, observability, observer designs, and pole placement techniques; introduction to adaptive and learning control and digital implementation of control algorithms.

ME 5661. Composite Materials. (4 Hours)

Discusses the structure, composition, deformation, and failure analysis of composite materials. Topics include introduction to composite materials, constitutive relations and mechanical properties of particulate reinforced composites, anisotropic lamina and cellular composites, and micromechanical models of laminated composites; mechanical behaviors and properties of cellular composites and sandwich composites; and their design, manufacturing, computational modeling, and mechanical experimental characterizations.

ME 5665. Musculoskeletal Biomechanics. (4 Hours)

Using a three-part format, emphasizes the quantitative analysis of human musculoskeletal system statics and dynamics, including, in part I, gait analysis and estimation of the complex loads on human joint systems. Investigates how the form of connective tissue and bone is derived from function in part II, including a quantitative analysis of the material properties of bone, ligament, tendon, and cartilage. Working in groups in part III, students select and investigate a relevant, current topic in musculoskeletal biomechanics and present their findings to the class. Requires prior completion of an undergraduate course in biomechanics (Northeastern’s BIOE 2350 or equivalent). Permission of instructor required for undergraduate students.

ME 5685. Solar Thermal Engineering. (4 Hours)

Develops a model for the hourly direct and diffuse radiation under a cover of scattered clouds and the transmission and absorption of this radiation by passive and active systems. Considers the design of air heating systems and the storage of the collected energy by a pebble bed, and considers elements of heater exchanger design. Makes a study of the economics of a domestic water and/or space heating system using f-chart analysis. Requires prior completion of ME 4570 or equivalent.

ME 5690. Gas Turbine Combustion. (4 Hours)

Offers students an opportunity to obtain an understanding of the basic physical, chemical, and aerodynamic processes associated with combustion in gas turbine engines and their relevance to combustor design and performance in applications ranging from aeronautical to power generation. Topics include the history and evolution of gas turbine engines, thermodynamic cycles, conventional and alternative aviation fuels, combustion fundamentals, fuel injection and atomization, advanced wall cooling techniques, mechanisms of combustion noise and approaches to noise control, and design and performance for ultra-low emissions.

Prerequisite(s): ME 4570 with a minimum grade of D- or graduate program admission

ME 5695. Aerodynamics. (4 Hours)

Focuses on topics of practical importance in applications of fluid mechanics to external flows over bodies. Covers compressible flow analysis in order to use the concepts of sound speed and Mach number and to design subsonic and supersonic nozzles, diffusers, and airfoils. Introduces normal and oblique shock waves and the Prandtl-Meyer expansion applied to supersonic flows over bodies and surfaces. Discusses Rayleigh and Fanno flows. Studies and applies the Bernoulli equation and potential flow theory to external flow analyses and the theory of lift generation on airfoils.

ME 5700. Multiphase Transport. (4 Hours)

Introduces multiphase flow and heat transfer. Presents insights of multiphase transport systems, tools to analyze the system in different scenarios, and exposes students to research frontiers and real-world applications. Topics include the fundamental principles governing the multiphase systems, capillary effect involving drops and bubbles, the dynamics of particles dispersed in fluid, phase change and heat transfer, and applications of multiphase systems. Discusses research topics at the frontier in this area.

Prerequisite(s): (ME 4570 with a minimum grade of D or CHME 3312 with a minimum grade of D ) or graduate program admission

ME 5976. Directed Study. (1-4 Hours)

Offers students an opportunity to conduct theoretical or experimental work under the direction of members of the department on a chosen topic. Course content depends on instructor. May be repeated up to 11 times for a maximum of 12 semester hours.

ME 5984. Research. (1-4 Hours)

Offers an opportunity to conduct research under faculty supervision. May be repeated without limit.

MEIE 1990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

MEIE 2990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

MEIE 3990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.

MEIE 4701. Capstone Design 1. (1 Hour)

Offers the first in a two-course sequence that culminates the student’s education and experience with the design process. Students form teams and are assigned their design project and faculty adviser. Projects can be industrially, departmentally, or externally sponsored. Students are expected to communicate with their faculty adviser, course coordinator, and sponsor using the Internet, teleconferencing, and other electronic methods. Topics include project management, ethics, cost analysis, Internet and library research methods, and engineering codes and standards. Students prepare written reports and make oral presentations. Students are expected to complete a thorough state-of-the-art report on their problem and a problem statement with specifications and requirements.

Attribute(s): NUpath Capstone Experience, NUpath Creative Express/Innov, NUpath Writing Intensive

MEIE 4702. Capstone Design 2. (5 Hours)

Continues MEIE 4701. Students are expected to apply engineering principles acquired throughout their undergraduate academic and co-op experiences to the design of a system, component, or process. Each project includes the development and use of design methodology, formulation of design problem statements and specifications, consideration of alternative solutions, feasibility considerations, and detailed system descriptions. Projects include realistic constraints such as economic factors, safety, reliability, maintenance, aesthetics, ethics, and political and social impact. Students make oral presentations on their results in a series of design reviews. Students document their solutions using a written report that includes an executive summary. A working prototype or simulation, as appropriate, of their solution is required to complete the course.

Prerequisite(s): MEIE 4701 with a minimum grade of I ; ((ME 4550 with a minimum grade of D- or ME 4570 with a minimum grade of D- ) or (IE 4510 with a minimum grade of D- ; IE 4515 with a minimum grade of D- ; IE 4516 with a minimum grade of D- ; IE 4530 with a minimum grade of D- ))

Attribute(s): NUpath Capstone Experience, NUpath Creative Express/Innov, NUpath Writing Intensive

MEIE 4990. Elective. (1-4 Hours)

Offers elective credit for courses taken at other academic institutions. May be repeated without limit.