CV 552 - Contaminant Hydrogeology and Groundwater Remediation

• No course learning outcomes appended

• None 

• No course topics appended

CV 554 - Ground Water and Soil Remediation Technologies

3 lecture hours 0 lab hours 3 credits

• Understand the terminology and scientific principles of the science of soils
• Predict the fate and transport of organic and inorganic constituents in the subsurface
• Understand the technical and economic feasibility of remedial technologies
• Become familiar with the environmental regulations at the federal, state and local levels
• Prepare and orally defend a remedial design study

• None

• Soil concepts and classification
• Rock types and weathering
• Soil classification and mechanics
• Environmental Geochemistry
• Soil Physics/Soil Permeability
• Soil/Groundwater chemistry
• Containment transfer
• Containment properties
• Investigation methods
• Remediation Overview: Trends and Developments
• Analytical methods
• Environmental regulations
• Investigation techniques
• Natural attenuation
• Ex-situ remediation

CV 611 - Environmental Chemistry

• No course learning outcomes appended

• None 

• No course topics appended

CV 614 - Environmental Microbiology

• Understand the significance of the sequencing of small subunit rRNA in the taxonomic placement of organisms
• Be familiar with the structure and function of viruses, bacteria, fungi, protozoa, and algae
• Understand metabolic processes utilized by microorganisms and microbial growth
• Be familiar with the roles of microorganisms in biogeochemical cycles
• Be familiar with microbial pathogens in the environment, direct and indirect methods of their detection, and methods of their control
• Understand the formation, function, and importance of biofilms in the environment
• Understand the roles of microbes in various types of wastewater treatment
• Understand the roles of microbes in the degradation of organic compounds

• None 

• No course topics appended

CV 710 - Environmental Statistics and Modeling

• No course learning outcomes appended

• None 

• No course topics appended

CV 711 - GIS Applications in Water Resources Engineering

3 lecture hours 0 lab hours 3 credits

• TBD

CV 712 - Water Quality Analysis and Modeling

• No course learning outcomes appended

• None

• No course topics appended

CV 715 - Open Channel Hydraulics

• No course learning outcomes appended

• None

• No course topics appended

CV 720 - Design of Biological Wastewater Treatment Processes

• Identify the raw wastewater characteristics that are of importance to the design of biological treatment processes
• Quantify the effect of biochemical energy yield on reaction rates, cellular yield, reaction kinetics, oxygen demand, and reactor design
• Select biological treatment processes that can be used to treat a wastewater with specified pollutant characteristics and other factors
• Specify design criteria for biological unit treatment processes, including advanced treatment processes for nutrient removal, oxygen transfer, solids separation, and biosolids management
• Prepare mass balances to identify solids yield and biogas production rates

• None 

• No course topics appended

CV 722 - Design of Water Treatment Systems

• No course learning outcomes appended

• None 

• No course topics appended

CV 724 - Industrial Wastewater Treatment

• Identify environmental standards that apply to both direct and indirect industrial discharges
• Identify industrial waste stream characteristics from several major industrial categories and why these characteristics are important to the design of unit processes
• Develop an overall treatment strategy for an industrial waste stream
• Specify design criteria for physical, chemical, and biological unit operations and processes necessary to treat an industrial wastewater
• Estimate capital and operating costs for industrial waste treatment systems

• None 

• No course topics appended

CV 730 - Pollution Prevention and Waste Minimization

• No course learning outcomes appended

• None 

• No course topics appended

CV 740 - Air Permitting

• None appended

• None 

• None appended 

CV 750 - Plant Safety/OSHA Issues

• No course learning outcomes appended

• None 

• No course topics appended

CV 752 - Risk Assessment and Environmental Auditing

• No course learning outcomes appended

• None 

• No course topics appended

CV 756 - Environmental Project Management/ Life Cycle Cost Analysis

• No course learning outcomes appended

• None 

• No course topics appended

CV 760 - Environmental Law

• No course learning outcomes appended

• None 

• No course topics appended

CV 799 - Civil Engineering Independent Study

• Determined by faculty member and student

• None

• Determined by faculty member and student

CV 800 - Research and Writing

• Develop a research question the answers to which will form the basis of the student’s capstone design project
• Locate relevant and credible sources of information that can be used to answer the research question using the MSOE library’s online databases and print/electronic resources
• Reference the relevant sources of information - including books, journal articles, governmental documents, and online publications using the MSOE Graduate Student Style Guide
• Read 6-12 of the relevant and credible sources of information found
• Write a literature review on a topic related to the student’s research question
• Write the capstone design project proposal

• None

• No course topics appended

CV 890 - Capstone Design Project I

• No course learning outcomes appended

• None

• No course topics appended

CV 892 - Capstone Design Project II

• No course learning outcomes appended

• None

• No course topics appended

CV 5210 - Matrix Structural Analysis

• Develop stiffness matrices to analyze statically indeterminate trusses, beams and frames.
• Develop computer models for structural analysis using commercial software and assess the validity of results

• Structural Analysis

• Forces in statically determinate structures
• Deformations and displacements
• Redundant Force method for statically indeterminate structures
• Concept of matrix stiffness method
• Matrix stiffness method for trusses
• Matrix stiffness method for beams
• Matrix stiffness method for frames
• Complex assemblies
• Introduction to non-linear behavior

CV 5220 - AISC Steel Design

• Design plate girders for flexure and shear 
• Design steel frames for gravity and axial loads 
• Design bracing systems for steel structures 
• Design connections for steel structures 
• Understand advanced floor serviceability

• Steel Design

• Design of plate girders (2 classes) 
• Design of columns including slender element effects (2 classes) 
• Design of braced and moment frames, including design using the direct analysis method (2 classes) 
• Analysis of steel framed floors for occupant-induced vibrations (1 class) 
• Design of connections for steel structures, including partially-restrained connections (2 classes)

CV 5232 - Prestressed Concrete Design

• Design prestressed concrete beams for deflection, flexure, development, shear, and torsion
• Design prestressed concrete columns subjected to axial and flexural loads
• Determine prestressed connection capacities

• Reinforced concrete design

• Analysis Methods
• Loss of Prestress
• Flexure Design
• Shear and Torsion Design
• Compression Member Design
• Connection Design

CV 5234 - Foundation Design

• Design a spread footing subjected to axial load and moment 
• Design a base plate subjected to axial load and moment 
• Explain the design of deep foundations for axial and lateral loads

• Reinforced concrete design

• Live Load reduction
• Shallow foundation design
• Base plate design
• Anchorage to concrete
• Basement wall design
• Slab on ground design
• Deep foundation design
• Strut-and-tie method

CV 5240 - Masonry Design

• Be familiar with the material properties of masonry units and mortar 
• Understand the behavior and design of masonry flexural members 
• Understand the design of masonry walls for axial loads 
• Understand the design of masonry walls for out-of-plane bending 
• Understand the design of masonry walls for in-plane bending and shear 
• Be familiar with detailing of masonry walls 
• Understand design of anchorage in concrete and masonry

• Reinforced concrete design

• Introduction to course 
• Materials (CMU, mortar, grout, reinforcement) 
• Introduction to ACI 530 
• Reinforced Masonry Beams 
• Masonry with Axial Loads (columns, walls and pilasters, slender walls 
• Wall with In-Plan Bending and Shear (unreinforced and reinforced walls, distribution of force to walls, openings) 
• Detailing of Masonry (non-masonry lintels, moisture, veneers) 
• Anchorage design in Masonry and Concrete 
• Construction Issues 

CV 5250 - Wood Design

• Be familiar with the material properties and manufacture of sawn and engineered wood products 
• Understand the design of sawn and engineered wood members for flexure, shear, axial and combined axial and flexural loads 
• Understand the selection of plywood for out-of-plane loading 
• Understand the design or horizontal wood diaphragms and vertical wood shear walls 
• Understand the design of bolted connections of wood members 
• Understand the design of nailed connections of wood members 
• Be familiar with other connections of wood members

• Principles of structural engineering

• Introduction to Course 
• Introduction to NDS Specification 
• Material Properties and Manufacture of Sawn and Engineered Wood Products 
• Sawn Beam Design

CV 5260 - Bridge Design

• Understand the different types of bridges and when their use is appropriate 
• Determine AASHTO loading requirements for bridges 
• Design basic steel girder bridges 
• Design basic reinforced concrete slab bridges

• Reinforced concrete design

• Short topics: Minneapolis I-35 collapse; Bridge types and economical spans; Fatigue and Fracture Mechanics; Hoan Bridge; Aesthetics in design; Arches; Suspension bridge types; Tacoma Narrows; Connecticut Turnpike at Mianus River 
• Basic structural analysis with moving loads 
• Loadings and load combinations 
• Girder bridges: general concepts 
• Two-span continuous composite rolled steel beam bridge design 
• Girder bridges: additional topics for precast concrete girders and steel plate girders 
• Multi-span reinforced concrete slab bridge design 
• Multi-cell box culvert design

CV 5262 - Modern Structural Systems

• Be able to determine the underlying factors in structural system selection with the Owner, Architect, and Engineers of other disciplines in mind 
• Have an understanding of the structural system selection process for low-, mid-, and high-rise buildings 
• Be introduced to spreadsheets, software and other resources available from various professional organizations 
• Have studied materials and materials selection that may be considered “unique” 
• Have made new contacts with experts in the building construction industry 
• Have gained an appreciation for the differences in firms and how other firms approach building design and troubleshooting

• Understanding of design methodologies for different structural materials (steel, concrete, wood, masonry)
• Basic understanding of structural analysis software

• Broad-based system selection comparing materials and construction processes 
• Open-web joists, joist girders, metal deck 
• Efficient framing and lateral resistance schemes for steel framed structures  
• Comparison between concrete floor systems 
• Considerations for masonry structures 
• Design considerations for parking structures 
• Other systems (wood, light gage steel) 
• Considerations when using structural software

CV 5263 - Retaining Structures and Slope Stability

• Understand various soil mechanics properties and lateral earth pressure theories applicable to retaining structures and slope stability
• Analyze and design various earth retaining structures for internal and external stability
• Analyze the stability of slopes using various hand calculation and computer methods

• Soil Mechanics

• None

CV 5800 - Research and Writing

• Develop a research question the answers to which will form the basis of a capstone design project
• Locate relevant and credible sources of information that can be used to answer the research question using the MSOE library’s online databases and print/electronic resources
• Reference the relevant sources of information - including books, journal articles, governmental documents, and online publications using the MSOE Graduate Student Style Guide
• Read 6-12 of the relevant and credible sources of information found
• Write a literature review on a topic related to the student’s research question

• None

CV 5980 - Topics in Civil Engineering

• Discuss topics in Civil Engineering

• None

CV 6210 - Applied Finite Elements

• Analyze structures using one dimensional finite elements 
• Analyze structures using approximations of two dimensional finite elements 
• Analyze diverse structures using finite element software

• Matrix structural analysis

• Stiffness matrices 
• Material model 
• Boundary conditions 
• Applied loading

CV 6212 - Structural Dynamics

• Analyze single degree of freedom systems for a variety of dynamic loadings 
• Analyze multi-degree of freedom systems for a variety of dynamic loadings 
• Calculate the response of simple structures to earthquake loading

• Matrix structural analysis

• Single degree of freedom (SDOF) systems 
• Equation of motion 
• Free vibration 
• Harmonic loads 
• Impulsive loads 
• Methods for numerical solution of equations of motion 
• Finite difference methods for linear and nonlinear systems 
• Earthquake response history and spectra 
• Multi-degree of freedom (MDOF) systems 
• Equation of motion 
• Other preliminary topics 
• Free vibration 
• Modal damping 
• Modal analysis for linear systems

CV 6214 - Lateral Loads on Structural Systems

• Determine wind loads on the main wind force resisting system 
• Determine wind loads on components and cladding 
• Determine earthquake loads on a structure

• Structural dynamics

• Earthquake loads 
• Response of MDOF systems 
• ASCE-7 Seismic analysis 
• Performance-based design 
• ASCE-7 Wind loads

CV 6216 - Structural Stability

• Determine column buckling behavior and torsional buckling capacity of beams 
• Determine plate buckling capacities 
• Model structural stability with the finite element method

• Finite element analysis

• Structural stability 
• Buckling behavior, torsional buckling 
• Plate buckling 
• Modeling 
• Post-buckling behavior

CV 6222 - AISI Steel Design

• Design cold-formed steel members for flexural and shear capacity 
• Design cold-formed steel columns and beam-columns 
• Design connections of cold-formed steel members

• Structural stability

• AISI Design of beams, columns, connections

CV 6224 - Connection Design

• Understand the basis for connection design as presented in the AISC Manual 
• Determine limit states for different types of connections 
• Determine connection efficiency for given loads 
• Determine suitability of connections for different situations 
• Understand analysis methods unique to connection design 
• Design simple shear, moment and partially restrained connections 
• Design light and heavy bracing connections 
• Understand how seismic loading affects the design of the connection

• Determinate and indeterminate structural analysis 
• Understanding of structural analysis software 
• Understanding of basic design for steel tension, compression, flexural and combined flexural/axial members 
• Understanding of design of simple connections (tension, shear, moment)

• Fastener types 
• Eccentric loading on fasteners 
• Prying action 
• Framing connections 
• Moment connections 
• Bracing connections 
• Partially restrained connections 
• Introduction to connection design for seismic loading  

CV 6230 - Reinforced Concrete Structure Design

• Be familiar will the ACI code provisions and engineering methods needed to design any of the common concrete floor systems: Pan joist, wide pan, flat slab and flat plate with conventional reinforcement

• Reinforced concrete design

• ACI code provisions for pan joist floors 
• Designing a pan joist floor for shear and moment 
• Wide pan code considerations 
• ACI code provisions for flat slab floors 
• The Direct Design and Equivalent Frame method 
• ACI code provisions for flat plate floors 
• Introduction to posttensioned floor design

CV 6264 - Structural Systems and Optimization

• Analyze structures with graphical methods
• Design structures with energy methods
• Optimize structural designs

• Matrix Structural Analysis

• Graphical methods for optimal layout of truss systems
• Introduction to graphical methods and reciprocal diagrams
• Optimization using forces as objective, Lenticular trusses
• Optimization using the minimum load path approach, dual structures
• Rankine’s theorem, 3D reciprocal diagrams
• Maxwell’s theorem for frame structures and its application in design
• Proof of the theorem Application to frame structures Design examples
• Michell frames
• Proof of Michell’s criterion, Derivation of Michell’s frames, Applications to structural design
• Principal stress trajectories and force flow (intuitive aspects, calculation of principal directions from the stress tensor, Mohr’s circle, application to high­rise buildings, application of principal directions in design)
• Sizing techniques for frames using energy methods (derivation of sizing equations for braced frames and moment frames, application to design problems)
• Structural systems for high­rise and long­span structures (typical lateral and gravity systems used in design and their parametric description for structural optimization)
• Topology optimization for structural design (fundamentals, derivation of sensitivities, 99­line Matlab code, voronoi meshing, applications in design, manufacturing constraints)
• Form finding of cablenets (linear and non­linear force density methods, applications to design problems)
• Advanced topics on optimal frames layouts (geometrical rules, bound/unbound cantilever problem, optimal arch) as time permits

CV 6370 - Facilities Planning

• TBD

• None

• None

CV 7100 - Applied Statistics and Modeling

• TBD 

• Statistics

• TBD

CV 8000 - Research and Presentation

• Demonstrate knowledge on chosen research topic

• Civil Engineering

• Determined by student and faculty advisor

CV 8900 - Capstone Project I

• Complete an independent research project

• Civil Engineering

• Determined by student and faculty advisor

CV 8910 - Capstone Project II

• Complete an independent research project

• Civil Engineering

• Determined by student and faculty advisor

CV 8920 - Capstone Project III

• Complete an independent research project

• Civil Engineering

• Determined by student and faculty advisor

EE 521 - Digital Communication Systems

• Make fundamental decisions involved in the design of a digital communication system by weighing the performance factors associated with digital communication systems
• Describe various pulse modulation methods
• Determine required bandwidths for various digital modulation methods
• Determine the signal-to-noise ratio needed to achieve a specified bit-error rate for various digital modulation methods
• Design an optimal detection filter or correlation receiver
• Explain the properties and features of various error detection and error correction codes

• Fourier methods
• Fundamental analog and digital communications principles
• Fundamental probability

• Signaling, including sampling and random signal characteristics (7 classes)
• Pulse modulation, baseband digital communication, line coding, and pulse shaping (5 classes)
• Digital modulation and detection, including spread spectrum (5 classes)
• Information theory, source coding and error-correction coding (6 classes)

EE 523 - Applications of Digital Signal Processing

• Determine the appropriate system design for DSP applications
• Be proficient in the C programming language of a DSP chip
• Understand the implementation tradeoffs of DSP algorithms including FIR and IIR digital filters, adaptive filters, least mean square (LMS) algorithm, multirate filters, interpolation and decimation, discrete and fast Fourier transforms, modulators and demodulators, phase locked loop
• Utilize an evaluation module for a DSP chip
• Write and test in the laboratory programs in the C progamming language of a DSP chip to implement the algorithms described above

• Sampling theorem
• FIR/IIR transfer function design and analysis
• Discrete/fast Fourier transform
• Communications systems
• Computer programming in C

• DSP system architecture and C programming language (4 classes)
• Modulation, demodulation (3 classes)
• FIR, IIR, adaptive, multirate digital filter implementation (6 classes)
• Discrete and fast Fourier transform implementation (2 classes)
• Auto- and cross correlation methods (3 classes)
• Phase locked loop (2 classes)

• Operation of evaluation module
• FIR or IIR filter
• Demodulator (QAM)
• Modulator (ISB)
• Adaptive filter
• Design project

EE 525 - Radio Frequency Circuit Design

• Analyse and design RF inductors and tank circuits.
• Diagnose and address shield current issues
• Design lumped component matching networks
• Design transmission line matching networks
• Analyze and design a class-C amplifier
• Design microstrip filter circuits
• Analyze and design a single stage RF amplifier
• Learn how to use basic RF test equipment

• Electromagnetic field theory
• Electronic devices and circuits
• Transmission line theory

• Resonant circuits and applications (3 classes)
• RF models of inductor, capacitor, and resistor (2 classes)
• Lumped element matching networks (3 classes)
• Transmission lines, S-parameters, and Smith chart review (3 classes)
• Transmission line matching networks (2 classes)
• Class-C amplifier analysis (2 classes)
• Microstrip filters (2 classes)
• Noise figure (1 class)
• Examinations (2 classes)

• RF/Microwave CAD software (2 sessions)
• Demonstration and practice the modern test equipments (2 sessions)
• Resonant circuits
• Coupled resonant circuits
• Class-C amplifier
• Baluns
• PIN diodes

EE 526 - Advanced Electromagnetic Fields

• Develop analytic solutions to electromagnetic problems, such as two-dimensional electrostatic boundary value problems, skin depth, plane waves in ferrite media, and the Hertzian dipole antenna
• Apply scalar and vector potential functions in electromagnetic problems
• Interpret the analytic solutions to electromagnetic problems

• Electromagnetic fields (EE 3202 and EE 3212 or equivalent)
• Transmission line theory (EE 3212 or equivalent)
• Scattering parameters (EE 3212 or equivalent)
• Basic Plane Wave and Antenna concepts (EE 3212 or equivalent)

• Lecture topical emphasis intended to be at the discretion of the instructor; typical course topics:
  • Scalar electrostatic potential, Poisson’s and Laplace’s equations, two dimensional boundary value problems
  • Time varying fields / Maxwell’s equations (especially in differential form)
  • Wave equation, uniform plane wave solution, propagation, and reflection
  • Skin depth
  • TEM solution in coax
  • Plane wave propagation in ferrite media
  • Magnetic vector potential
  • Hertzian dipole electromagnetic field solution
  • Electromagnetic field simulation

EE 529 - Microwave Engineering

• Describe the operation of and calculate key properties of microstrip characteristics and microstrip components
• Utilize RF/microwave simulation software in high frequency circuit analysis
• Describe and sketch field patterns in common high frequency transmission media, especially microstrip, stripline, and rectangular and circular waveguides
• Determine the analytic expressions for the electromagnetic fields inside rectangular and circular waveguides
• Describe the operation of and key specifications of microwave resonators and ferrite devices

• Transmission lines and Maxwell’s equations review (2 classes)
• TEM, especially microstrip, media and components (4 classes)
• Rectangular and circular waveguides (7 classes)
• Microwave resonators (2 classes)
• Microwave ferrite and other components (3 classes)
• Homework sessions. (2 classes) [Exams are typically take-home]

• Electromagnetic fields (EE 3202 and EE 3212 or equivalent)
• Transmission line theory and Smith charts (EE 3212 or equivalent)
• Scattering parameters (EE 3212 or equivalent)
• Plane waves (EE 3212 or equivalent)

• Laboratory topics and schedule intended to be at the discretion of the instructor; typical laboratory topics:
  • RF/microwave simulation
  • Measurements of RF/microwave components
  • RF/microwave project (usually in microstrip)

EE 544 - Power Electronics

• Demonstrate an understanding of the electrical characteristics of power semiconductor devices
• Analyze power semiconductor circuits operating at high power levels under transient and steady state conditions
• Develop the skills necessary to use the computer to analyze and design power conversion circuits
• Develop the understanding of important considerations in the design of power conversion and switching regulator circuits

• Steady state and transient circuit analysis
• Electrical characteristics of diodes, bipolar junction transistors and field effect transistors
• Analysis of circuits with diodes and transistors
• Frequency response of electrical circuits

• Introduction to Power Electronics (1 class)
• Diode Circuits and rectifiers (4 classes)
• Characteristics of Power Semiconductor devices (4 classes)
• Phase-controlled converters (4 classes)
• AC voltage controllers (3 classes)
• DC choppers and switchmode regulators (5 classes)
• Pulse-width modulated Inverter circuits (3 classes)
• Pulse-width modulation and closed loop dc motor control (1 class)
• Protection of devices and circuits (2 classes)
• Introduction to DC and AC Drives (1 class)

• Line-controlled SCR experiment should be done under instructor supervision in S341
• Boost Converter and Snubber Circuit individual project

EE 547 - Power System Analysis I

• Describe the elements that make up a power system
• Understand the basic concepts of real and reactive power, direction of power flow, conservation of complex power and power factor correction
• Understand the per-phase representation of the three-phase systems and computations
• Calculate the inductance and capacitance of a transposed transmission line
• Use line models to obtain the transmission line performance
• Determine the series and shunt capacitors and shunt reactors required for line compensation
• Understand the basic models of transformers and synchronous generators for the steady-state analysis
• Develop a program for formation of the bus admittance matrix
• Understand the computer techniques and algorithms used to obtain the transmission line parameters, line performance, compensation and solution of the load flow problems

• Linear circuit analysis
• Three-phase circuits
• Basic knowledge of electrical machines and transformers
• Computer programming

• Power in AC circuits, complex power (1 class)
• Review of three-phase systems (2 classes)
• Simple models of transformers and generators for steady-state analysis (3 classes)
• The per-unit systems and impedance diagram (2 classes)
• Transmission line parameters. Electromagnetic and electrostatic induction (5 classes)
• Transmission line models, performance and compensation (5 classes)
• Network solution and the bus admittance matrix. (2 classes)
• Iterative solution of nonlinear algebraic equations (1 class)
• Load flow problem and solution by the Gauss-Seidel iterative method (3 classes)
• Load flow solution by the Newton-Raphson method (2 classes)
• Tap changing transformers, real and reactive power control (2 classes)

EE 549 - Power System Analysis II

• Understand the nonlinear function optimization with constraints
• Obtain the economical scheduling of real power generation neglecting line losses
• Determine the loss coefficients of a power system network
• Obtain the economical scheduling of real power generation including line losses
• Understand the simplified models of the synchronous machines for fault analysis and transient stability problems
• Calculate the internal voltages of loaded machines under transient conditions
• Understand and be able to evaluate the currents in the network for a balanced three-phase fault
• Transform unbalanced phasors to their symmetrical components
• Use symmetrical components for short-circuit analysis of unsymmetrical faults
• Understand the general problem of power system stability
• Apply the equal-area criterion for stability to system of one machine against an infinite bus bar
• Obtain the time-domain solution of the swing equation for a one-machine system against an infinite bus
• Develop computer programs to determine optimal load flow and balanced fault currents

• Per unit systems
• Power systems components and models
• Load flow analysis

• Optimal dispatch of generation (5 classes)
• Generator modeling (2 classes)
• Direct formation of the bus impedance matrix (2 classes)
• Symmetrical three-phase faults (3 classes)
• Symmetrical components (4 classes)
• Unbalanced fault analysis (5 classes)
• Power system stability (7 classes)

EE 581 - Fuzzy Set and Applications

• Understand how fuzzy sets model ambiguity
• Manipulate fuzzy membership functions for simple operations
• Be familiar with the nature and use of fuzzy relations
• Perform linguistic analysis using fuzzy sets
• Develop and simulate simple fuzzy controllers
• Familiar with a wide variety of areas in which fuzzy sets may be applied
• Perform a class project

• Boolean algebra
• Basic control theory
• High-level language programming

• Review of set theory (3 classes)
• Basic fuzzy set definitions and operators (3 classes)
• Extensions of crisp operators to fuzzy sets (3 classes)
• Fuzzy relations and fuzzy reasoning (3 classes)
• Control theory and the use of fuzzy sets (5 classes)
• Other fuzzy set applications from the current literature (7 classes)
• Class project (3 classes)
• Reviews and examinations (2 classes)

EE 584 - Neural Networks

• Describe the basic configurations of neural networks
• Describe and implement neural networks
• Formulate engineering problems for which neural networks may be a suitable solution
• Evaluate the suitability of neural network architectures and learning algorithms for engineering problems
• Use commercially available neural network development tools
• Interpret and critique scholarly articles in the area of neural networks

• High-level language programming with objects or structures
• Calculus (gradients, series expansions)
• Matrix arithmetic

• Introduction to neural networks, problems, terminology, MATLAB toolbox (2 classes)
• Data gathering and formatting (2 classes)
• Linear perceptron and multilayer backpropagation networks(4 classes)
• Training algorithms and associated mathematics (4 classes)
• Radial Basis Networks (3 classes)
• Self-Organizing Maps (1 class)
• Time Series Networks, Control Sytems, and Adaptive Filtering (4 classes)
• Deep Learning (3 classes)
• Special Topics (2 classes)
• Project workshops (5 classes)

EE 587 - Machine Vision

• Describe and apply the fundamental concepts of machine vision systems
• Describe and apply the principles underlying the application of machine vision systems
• Describe a variety of machine vision applications
• Describe the application of machine vision systems to industrial processes
• Write concise, professional technical reports

• Knowledge of a programming language
• Knowledge of basics of physical science
• Understanding of manufacturing processes

• Introduction to machine vision, image sensing fundamentals, relationship to other disciplines (2 classes)
• Optics and lighting: fundamentals, practical light sources, imaging by lensing (2 classes)
• Cameras and sensors: rectangular and linear arrays, CCD sensor architectures (3 classes)
• Image processors and algorithms: windowing (generalized areas of interest), Sobel operator histograms, SRI algorithms (4 classes)
• Discussion of term paper requirements, one-hour exam (3 classes)
• Inspection case studies - examples, pistons, disk brakes, dishes, light bulbs, very high speed bottle inspection in packaging lines (4 classes)
• Perspective projective and pinhole camera models, world coordinates and transformations (2 classes)

EE 588 - Introduction to Artificial Intelligence and Expert Systems

• Represent knowledge using propositional calculus and predicate calculus
• Use inference rules to produce predicate calculus expression
• Solve problems using search techniques: depth-first, breadth-first, forward chaining, backward chaining, best-first, branch-and-bound, and-or-graph, and heuristic search
• Analyze and design a fuzzy logic system using fuzzy logic tool box
• Analyze and design a neural network system using neural network toolbox
• Analyze and design a rule-based expert system
• Design a machine vision system application

• Working knowledge of a high level computer language
• Digital logic
• Fundamental technical courses in the student’s major field

• Introduction (1 class)
• AI: History and Applications (1 class)
• Knowledge Representation (5 classes)
• Methods of Inference (1 class)
• Search Techniques (3 classes)
• Fuzzy Logic Systems (3 classes)
• Neural Network (3 classes)
• Pattern Recognition and Computer Vision (3 classes)
• Expert Systems (6 classes)
• Languages For AI Problem Solving (1 class)
• Project presentation (1 class)
• Review and Exams (5 classes)

EE 593 - Advanced Microprocessors

• Describe the relative advantages and disadvantages of the 16-bit microprocessors versus 8-bit microprocessors
• Describe the architecture and operation of the 8086 microprocessor family
• Write and execute programs for a 16-bit microprocessor to work with multiple precision data in signed binary, unsigned binary, binary coded decimal or ASCII
• Design interfacing for memory devices to the 8086 including dynamic RAM
• Utilize macros and subroutines to develop modular programs
• Understand interrupt routines
• Design a software system using engineering principles, software engineering and the assembly language
• Write concise engineering reports with an engineering analysis, verification and condlusion sequence

• Combinational and sequential logic design
• Introductory 8-bit microprocessor course

• Introduction to 16-bit microprocessors (1 class)
• Intel 8086 family architecture, data formats, instruction set and addressing modes (5 classes)
• Introduction to Borland Assembler, Linker, and Debugger (2 classes)
• Data movement instructions (2 classes)
• Arithmetic and logic instructions (4 classes)
• Program control instructions (2 classes)
• Macros and subroutines, including PC-BDOS and PC BIOS routines (2 classes)
• Memory interfacing including timing requirements and dynamic RAM controllers (6 classes)

EE 799 - MSE Independent Study

• An ability to apply advanced electrical engineering principles to complex problems

• Varies

• To be determined by faculty advisor

EE 813 - Advanced Electronic Systems

• Design and simulation of inverting, non-inverting and summing Amplifier
• Design and simulation of differentiator, inverting and non-inverting integrator
• Design and simulation of instrumentation amplifier using 2 and 3 OP AMP
• Design and simulation of higher (four or more) order low pass filter using Sallen-Key topology
• Design and simulation of notch filter and a low frequency tuned amplifier using two port network and OP AMP
• Design and simulation of a Multi-vibrator and a Sine Wave Oscillator
• Understand non-ideal effects of operational amplifiers
• Design oscillators and voltage regulators using operational amplifiers

• None

• Nonlinear effects in bipolar and field effect devices
• Nonideal characteristics of operational amplifiers
• Noise and distortion analysis
• Nonlinear electronics circuits

EE 814 - VLSI Circuit Design

• Use the equations of conduction to describe VLSI circuit performance parameters including power consumption, rise time, fall time, threshold voltage, and noise margins
• Describe VLSI implementation styles including static CMOS, dynamic CMOS, and domino logic
• Describe how static and dynamic RAM are implemented as VLSI circuits
• Describe classic algorithms in logic reduction, placement, and routing
• Use the SPICE input language to describe and simulate VLSI circuits
• Use transistor layout software to design transistor level circuits

• Combinational and sequential logic
• C programming

• Transistor equations of conduction
• CMOS implementation styles (static CMOS, dynamic CMOS, domino logic)
• CMOS logic gate design
• Static and dynamic RAM circuits
• Performance analysis of CMOS circuits including power, rise time, fall time, threshold voltage, and noise margins
• Graph theoretic algorithms in partitioning and routing

EE 871 - Modern Control Systems

• Determine the open-loop and closed-loop transfer functions of a system containing a sampler and zero-order-hold
• Determine the stability of sampled data (discrete-time, DT) systems
• Design DT system compensators
• Analyze system controllability and observability
• Design state feedback estimator-regulators
• Estimate a transfer function representation from experimental frequency response data
• Implement a closed-loop compensator 

• Simplify control system block diagrams
• Obtain continuous time system time-domain performance specifications
• Determine steady-state error of continuous time systems for typical inputs
• Design continuous time, closed-loop, phase-type and PID control systems by root-locus techniques
• Analyze continuous time systems using frequency response methods: Bode diagrams
• Demonstrate the effects of discrete-time sampling of continuous signals

• Prerequisite review
• System frequency response modeling techniques
• Sampled-data systems and the z-transform
• Design state feedback system
• Review state space representation

EE 5050 - Low-Noise Analog System Design

• Demonstrate an understanding of noise mechanisms and models as applicable to analog electronic circuits
• Develop the skills necessary to use a computer to analyze and design low-noise circuits
• Analyze noise performance of resistor circuits
• Analyze noise performance of BJT and FET circuits
• Analyze noise performance of amplifiers and power supplies
• Design low-noise amplifiers and power supplies

• BJT DC and AC analysis, FET DC and AC analysis, SPICE simulation of analog electronic circuits, (EE 3101 prerequisite)

• Introduction, noise mechanisms, origin of noise (3 classes)
• Resistor noise model (2 classes)
• Basic circuit noise analysis (4 classes)
• Noise simulation using SPICE (3 classes)
• BJT noise models and applications (3 classes)
• FET noise models and applications (3 classes)
• Amplifier noise models and applications (3 classes)
• Low-noise amplifier design (4 classes)
• Low-noise power supply design (3 classes)
• Noise measurements (2 classes)

EE 5060 - Introduction to Nonlinear Dynamics and Chaos

• Describe the fundamental differences between linear and nonlinear dynamical

• Understanding of linear constant coefficient ODEs
• Basic circuit analysis

• Fixed Points and Stability (1 class)
• Circuit elements and devices (3 classes)
• Bifurcations in one dimensions (3 classes)
• Midterm (1 class)
• Introduction to chaotic systems (1 class)
• Analyzing chaotic systems - Routes to Chaos (2 classes)
• The phase plane - linear systems, limit cycles (two dimensional systems)

• Laboratory experiment details and requirements are described in [1].
• Students are expected to prepare for the lab by doing all required pre-lab activities

EE 5112 - Advanced Analog Electronics

• Design differential amplifiers with active loads
• Design output stages of power amplifiers
• Understand different configurations of feedback and their applicability to electronic circuits
• Understand frequency response of single-stage and multi-stage amplifiers
• Understand frequency compensation of feedback amplifiers and design the required feedback network
• Understand non-ideal effects of operational amplifiers
• Design oscillators and voltage regulators using operational amplifiers

• None

• Design of the first and second stage of a three-stage amplifier (6 classes)
• Design of the output stage of a three-stage amplifier (2 classes)
• Feedback and stability and frequency compensation (4 classes)
• Frequency response of transistor amplifiers (2 classes)
• Non-ideal effects of Operational Amplifiers (2 classes)
• Oscillators and voltage regulators (2 classes)
• Exams (2 classes)

EE 5210 - Electromagnetics and Transmission Lines

• Describe the fundamental concepts of electromagnetic fields
• Calculate static electric and magnetic fields due to stationary charge and current distributions
• Describe and utilize vector notation in static, dynamic, and time-harmonic form—especially in Maxwell’s Equations
• Describe and calculate fields in materials, electric and magnetic energies, capacitances and inductances for conducting systems, etc.

• Multivariable calculus and differential equations
• Vector algebra and elementary vector calculus
• Basic electricity and magnetism
• Computer programming

• Review complex vector algebra, calculus and coordinate systems (4 classes)
• Electrostatic fields (4 classes)
• Magnetostatic fields (classes)
• Capacitors and Inductors (2 classes)
• Maxwell’s Equations (3 classes)
• Plain wave Solution (4 classes)
• Transmission Lines (3 classes)
• Radiation theory (3 classes)

EE 5250 - Advanced Signal Processing

• Determine the optimal filter that produces the minimum mean squared error at its output
• Apply adaptive filtering algorithms, such as gradient search, LMS, or RLS, to various signal and noise filtering situations
• Determine the maximum likelihood estimator for a set of randomly distributed data
• Apply and compare two-dimensional filters to images in the spatial- and frequency-domains
• Use nearest-neighbor or bilinear interpolation to determine the values of pixels in a resized or transformed image
• Identify types (such as smoothing or sharpening) of image filters
• Complete a project on a topic related to statistical and/or image processing not covered in class

• Fourier series/transform methods
• Sampling theorem
• Random processes and expectations
• Linear algebra
• Some previous use of MATLAB is desired

• Prerequisite review: random variables and statistics, DSP (3 classes)
• Statistical image processing (12 classes) - topics may include: autocorrelation functions, Wiener filter, gradient search/steepest descent, LMS algorithm, RLS algorithm, maximum likelihood estimation
• Digital image processing (12 classes) - topics may include: 2D signals and systems, sampling, filtering, edge detection, digital image enhancement: spatial and frequency domains, digital image restoration, digital image compression
• Final project (3 classes)

EE 5280 - Antenna Theory and Wireless Applications

• Derive the radiated felds of the infinitesimal dipole antenna using the magnetic vector potential and vector calculus
• Use image theory to determine the performance of a monopole antenna
• Explain the meaning of antenna gain, directivity, and efficiency
• Model basic dipole antennas using equivalent circuits
• Explain fundamental trade-offs between the size, gain, and bandwidth of an antenna
• Calculate the radiation pattern of linear antenna arrays
• Perform link budget calculations for line-of-sight wireless links using the Friis equation
• Analyze the performance of common wireless system links, such as cellular telephone, broadcast radio/television, satellite communication, and radar systems
• Determine the performance of basic antennas using computational electromagnetics software

• Resonant RLC circuits
• Principles of electromagnetic radiation
• Static and dynamic electromagnetic fields
• Maxwell’s equations
• Transmission lines 

• Advanced electromagnetic field theory
• Magnetic vector potential
• Radiated fields and impedances of dipole antennas
• Antenna radiaiton patterns and polarization
• Baluns
• Linear antenna arrays
• Basic propagation and communication system links

EE 5480 - Electrical Power Systems Quality

• Understand the basics of electric power systems quality
• Measure and interpret voltage, current and frequency variations and distortions
• Understand the principles of power system harmonics, harmonic indices and mitigation strategies
• Be able to use laboratory instrumentation to measure and analyze power quality indices
• Be familiar with industrial standards on power quality requirements

• Linear ac circuit analysis
• Three-phase complex power
• Basic knowledge of electrical machines and transformers

• General classes of power quality problems (1 class)
• Power quality terms and requirements (1 class)
• Sags and interruptions (3 classes)
• Transient over-voltages (2 classes)
• Harmonic distortion (5 classes)
• Principles for controlling harmonics (2 classes)
• Long-duration voltage variations (1 class)
• Effects of lightning on power systems (1 class)
• Grounding and wiring issues leading to voltage problems (2 classes)
• Power quality standards (2 classes)

• Power quality instrumentation and interpretation
• Harmonic current and voltage measurements of Adjustable Speed Drives
• Line notching
• Voltage sags, transients
• Comparison of power quality for different devices used for lighting
• Neutral current issues in three-phase circuits

EE 5720 - Control Systems II

• Determine the open-loop and closed-loop transfer functions of a system containing a sampler and zero-order-hold
• Determine the stability of sampled data (discrete-time, DT) systems
• Design DT system compensators
• Analyze system controllability and observability
• Design state feedback estimator-regulators
• Build a control system from the component level that includes actuation, transducer feedback, and closed-loop compensation
• Experimentally measure the frequency response of their control system
• Estimate a transfer function representation from their experimental frequency response data
• Implement a closed-loop compensator on their control system

• Simplify control system block diagrams
• Obtain continuous time system time-domain performance specifications
• Determine steady-state error of continuous time systems for typical inputs
• Design continuous time, closed-loop, phase-type and PID control systems by root-locus techniques
• Analyze continuous time systems using frequency response methods: Bode diagrams
• Realize phase-type and PID controllers utilizing operational amplifiers and resistor-capacitor networks

• Prerequisite review (1 class)
• System frequency response modeling techniques (1 class)
• Sampled-data systems and the z-transform (10 classes)
• Design state feedback system (5 classes)
• Homework review sessions (2 classes)
• Exam (1 lab period)
• Review state space representation (1 class)

• Design and construct electromechanical actuation system and mechanical structure
• Design and construct transducer feedback instrumentation network
• Calibrate instrumentation network
• Experimentally measure frequency response of open-loop system
• Analyze frequency response data to estimate open-loop system transfer function
• Design and simulate closed-loop compensator
• Implement closed-loop compensator
• Experimentally measure closed-loop frequency response, transient response, and steady state error

EE 5980 - Topics in Electrical Engineering

• Varies

• Varies

• Varies

EE 5981 - Topics in Electrical Engineering with Laboratory

• Varies

• Varies

• Varies

• Varies

GA 898 - Graduate Assistantship

• No course learning outcomes appended

• None

• No course topics appended

GC 899 - Graduate Continuation

• No course learning outcomes appended

• None 

• No course topics appended

GE 601 - System Dynamics

• Understand basic system components of mechanical, electrical, thermal and fluid systems and combine components into systems
• Formulate mechanical, electrical, thermal, fluid and mixed discipline systems into appropriate differential equation models
• Analyze linear systems for dynamic response - both time and frequency response
• Recognize the similarity of the response characteristics of various physically dissimilar systems
• Solve systems using classical methods and MATLAB/Simulink

• Differential equations and Laplace Transform

• Introduction to System Dynamics
• Mechanical Systems (single & multiple dof) Modeling and Response using MATLAB Simulink
• Electrical Systems Modeling and Response
• Liquid and Thermal Systems Modeling and Response
• Review of Laplace Transform
• Transfer Function Approach
• State Space Approach
• Frequency-Domain Approach
• Coupled-Field Systems Modeling and Response
• Feedback Control Systems Modeling and Design- An Introduction

GE 611 - Numerical Methods

3 lecture hours 0 lab hours 3 credits

• Model engineering systems using first and second order differential equations, and solve the equations both analytically and numerically
• Employ the Taylor Series for approximation and error analysis
• Formulate and apply numerical techniques for root finding, curve fitting, differentiation, and integration
• Write computer programs to solve engineering problems

• Computer Programming
• Differential equations and Laplace Transform

• Taylor series, Error propogation, Numerical Differentiation, Forward-Backward-Central difference formulations of First and Second derivatives, Richardson’s Extrpolation
• Numerical Integration: Newton-Gregory forward formula for interpolation, Trapezoidal rule, Simpson’s rules, Boole’s rule, Romberg Integration
• Root finding methods: Bisection, False position, Fixed-point iteration, Newton-Raphson, Secant, Modified Secant
• Ordinary Differential Equations: Initial Value problems, Euler’s method, Heun’s method, Runge-Kutta methods- Third order and Fourth Order, Stiff equations: Implicit Euler’s method, Adam’s solvers: Explicit and Implicit methods, Milne’s predictor-corrector methods

GE 703 - Simulation and Modeling

• Perform simulations of basic manufacturing and service systems
• Select, analyze, and/or design processes using simulation
• Improve problem solving skills
• Improve communication skills

• Understanding of probability distributions, queuing theory, computer programming and statistics

• Introduction to Discrete Event Simulation
• Simulation theory and techniques
• Random Number Generation
• Logic of Single-Queue, Single-Server Systems
• Basic Nodes and Control Statements
• Resources and Gates
• Logic and Decision Nodes
• Statistical Analysis
• Dynamic modeling
• Applications

GE 705 - Computer Assisted Engineering

• apply problem-solving skills to engineering problems
• present formal solutions to engineering problems
• understand how a variety of computer tools can be applied to engineering problems

• College Trigonometry and Algebra

• Problem Solving Methodologies, Introduction to Matlab
• Simple and symbolic operations
• Working with Arrays, Plotting
• Programming - Loops
• Programming - Logic
• Solving Equations
• Numerical Integration
• Matrix Methods
• Optimization 

GE 706 - Digital Control Systems

• Determine the open-loop and closed-loop transfer functions of a system containing a sampler and zero-order-hold
• Determine the stability of sampled data (discrete-time, DT) systems
• Design DT system compensators

• Obtain continuous time system time-domain performance specifications
• Determine steady-state error of continuous time systems for typical inputs
• Design continuous time, closed-loop, phase-type and PID control systems by root-locus techniques
• Analyze continuous time systems using frequency response methods: Bode diagrams
• Demonstrate the effects of discrete-time sampling of continuous signals

• Sampling
• Difference equations
• z-transform analysis
• Signal flow diagrams
• Digital filters
• Frequency response and stability analysis

GE 791 - Engineering Specialty Paper

• Carry out an in-depth independent investigation on a technical topic with minimal supervision
• Write a formal report which clearly presents a new body of knowledge learned

• Varies

• Course topics to be selected

GE 796 - Engineering Project Proposal Development

• Carry out an in-depth independent investigation on a technical topic with minimal supervision
• Write a formal proposal
• Make a project proposal presentation

• Varies

• Problem definition
• Engineering specifications
• Design process
• Patent and intellectual property
• Library research
• Reliability and safety
• Project management

GE 797 - Engineering Project I

• Carry out an in-depth independent investigation on a technical topic with minimal supervision
• Write a formal report which clearly presents a new body of knowledge learned

• Varies

• Course topics to be selected.

GE 798 - Engineering Project II

• Carry out an in-depth independent investigation on a technical topic with minimal supervision
• Write a formal report which clearly presents a new body of knowledge learned

• Varies

• Course topics to be selected

GE 799 - MSE Independent Study

• Varies

• Varies

• Varies

IE 612 - Operations Research

• Formulate and solve linear programming models
• Identify, formulate and solve transportation and assignment problems
• Develop and solve network models
• Understand decision theory and perform decision trees in solving business decision problems
• Identify and develop operational research models from the verbal description of the system (case studies in groups)
• Use appropriate software to solve these case studies and present both orally and in writing

• Linear Algebra

• Linear Programming: Examples, Solving on a Spreadsheet
• Linear Programming (Simplex Method): Algebraic form, tabular form, other model forms
• Simplex Method: Matrix form, Fundamental insight, Revised Simplex Method
• Duality, Primal-dual relationships, Sensitivity Analysis
• Other algorithms for Linear Programming (time-permitting)
• Transportation and Assignment Problems
• Integer Programming
• Network Optimization: Shortest-Path, Minimum Spanning Tree, Maximum Flow, Minimum Cost
• Decision Analysis
• Case Studies and Interfaces Articles Review

IE 613 - Quality Engineering

• Recognize applications of experimental design techniques
• Plan and conduct a designed experiment
• Analyze experimental data, draw conclusions, and make recommendations regarding process, design, and quality improvements
• Understand and be able to explain the differences between, and the pros and cons of, traditional experimental design methods and Taguchi methods
• Present and discuss analysis procedures, results, and implementation in a professional forum

• Probability and statistics

• Intro to Quality Engineering: The engineering design process, Role of experimentation, Robust Design, Experiments with a single factor/ANOVA (3 hours)
• Minitab Demonstration, Randomized complete block design (3 hours)
• Quality Function Deployment, Factorial Designs: Two-factor designs, General factorial designs (3 hours)
• 2K factorial designs (3 hours)
• Blocking and confounding in the design (3 hours)
• Fractional factorial designs (3 hours)
• Fitting regression models (3 hours)
• Response surface methods (3 hours)
• Taguchi methods (3 hours)
• Robust parameter design and process robustness studies (3 hours)

NU 799 - MSN Independent Study

• Course learning outcomes will be determined by supervising faculty prior to registration.

• None

NU 6301 - Nurse Leader and Manager: Professional and Personal Development

• Compare and contrast major theories related to leadership and management
• Develop your own leadership capacity as part of personal development plan
• Demonstrate awareness of own strengths and limitations as a leader
• Apply concepts of self-care to develop a balanced personal and professional life
• Demonstrate life-long learning practices that will serve to enhance personal and professional development
• Examine own level of emotional intelligence and strategies for enhancement
• Critically examine fundamental financial issues in health care
• Demonstrate awareness of variables in decision making including ethics, data, finances, quality, and safety
• Summarize financial concepts, budgeting processes, and financial reporting that are unique to the health care industry.

• None

• May include:
  • Managing, leading, following
  • Management and Leadership Theories
  • Characteristics of a Professional Practice Model
  • ANA Code of Ethics and Standards of Practice
  • Professional Nursing Organizations
  • Decision Making, Career Planning, Professional Portfolio, Certification
  • Communication,written, verbal, public speaking, use of technology, Personal branding
  • Emotional Intelligence, Self-care Practice
  • Becoming a member of the leadership / management team.
  • Mentoring, networking, coaching
  • Fundamental concepts and issues in health care finance

NU 6311 - Nurse Manager and Leader: Fiscal and Operational Mangagement

3 lecture hours 2 lab hours 4 credits

  (prereq: NU 6301 )

• Continuously plan for improvement in use of self in effective team development and functioning
• Appreciate nursing’s unique contribution to patient outcomes
• Create and communicate a shared vision of care delivery
• Describe factors that create a just culture and a culture of safety
• Participate in the design and implementation of new models of care delivery and coordination
• Role model lifelong learning, including clinical subjects such as disease processes, pharmaceuticals and clinical technology
• Appraise revenue cycle processes specific to multiple payer types, billing compliance, audits, charity care and bad debt.
• Analyze how clinical and financial decisions impact day to day operations, health of the organizations, patient safety, and patient outcomes

• None

• May include:
  • Creating a just culture in a work environment
  • Health care consumers; patient satisfaction
  • Staff mix: APRNs, front line workers, nurse navigators
  • Patient Safety and Quality
  • High reliability organizations
  • Transforming care at the bedside (TCAB)
  • Shared governance
  • Emergency preparedness
  • Budgeting- operational, capital
  • Financial modeling and decision making
  • Revenue streams and payer mix

NU 6320 - Evidence Based Practice and Research

• Examine scientific evidence that serves as basis for patient and provider safety in practice
• Describe evidence-based practice, considering components of research evidence, clinical expertise, and patient/family values
• Demonstrate knowledge of health research methods and processes
• Employ health research methods and processes, alone or in partnership, to generate new knowledge for practice
• Translate research to convey the nursing perspective to policy makers and stakeholders in an understandable way
• Role model clinical decision making based on evidence, clinical expertise, and patient/family preferences and values
• Apply the best possible evidence from nursing and other disciplines as foundations for desired patient outcomes, quality nursing practice, and health system organization

• None

• PICOT or PEO question development
• Integrated literature review
• Manuscript development based on review of the literature
• Translating evidence into leadership
• Translating evidence into education/clinical outcomes
• Evidence based practice project within health care setting

NU 6330 - Health Care Policy and Regulation

• Produce cogent and persuasive written materials to address nursing, health care, and organizational issues appropriate to the audience
• Interpret research, bringing the nursing perspective for policy makers and stakeholders
• Articulate patient care standards as published by The Joint Commission, CMS, and professional nursing literature
• Examine the effect of legal and regulatory processes on nursing practice, health care delivery, and outcomes
• Advocate for patients, families, caregivers, communities and members of the health care team
• Understand, articulate, and ensure compliance with the ANA Standards and Scope of Practice, ANA Code of Ethics, ANA Social Policy Statement,  State Nurse Practice Act, State Board of Nursing regulations, regulatory agency standards, and policies of these organizations
• Engage in state and national policy initiatives aimed at improving teamwork and collaboration
• Represent the organization to non-health care constituents within the community

• None

• May include:
  • Legal and ethics, influence
  • Laws affecting health care structure
  • Professional liability
  • Patient rights
  • State and federal regulation
  • Affordable Care Act
  • Medicaid/Medicare - case mix index
  • Federally Qualified Health Centers (FQHC)
  • Integrated case management
  • Globalization
  • Health care consumers
  • Regulatory bodies
  • Professional standards
  • Nursing’s influence in public policy
  • Nursing history and influence on regulations
  • Context of health care delivery
  • Developing productive groups

NU 6351 - Health Care Management Synthesis I

• Maintain presence and share knowledge regarding current role to academic advising counsels, community, and/or professional organizations
• Demonstrate own leadership capacity as evidence of a personal development plan
• Analyze strategies that influence the ability to initiate and sustain effective partnerships with members of nursing and inter-professional teams
• Design and implement systems change strategies that improve the care environment
• Develop and deliver oral presentations to diverse audiences on nursing, health care, and organizational issues
• Consider impact of nursing decisions on the health care organization as a whole
• Demonstrate growth in personal philosophy based on knowledge of ethical and professional standards
• Apply the best available evidence in design and implementation of plans that impact the quality and safety of diverse populations within the health care system

• None

• Implementation of capstone paper outline
• IRB training

NU 6361 - Health Care Management Synthesis II

• Maintain presence and share knowledge regarding current role to academic advising counsels, community, and/or professional organizations
• Demonstrate own leadership capacity as evidence of a personal development plan
• Analyze strategies that influence the ability to initiate and sustain effective partnerships with members of nursing and inter-professional teams
• Design and implement systems change strategies that improve the care environment
• Develop and deliver oral presentations to diverse audiences on nursing, health care, and organizational issues
• Consider impact of nursing decisions on the health care organization as a whole
• Demonstrate growth in personal philosophy based on knowledge of ethical and professional standards
• Apply the best available evidence in design and implementation of plans that impact the quality and safety of diverse populations within the health care system

• Capstone Project

NU 6371 - Nursing Informatics & Technology Management

• Demonstrate in-depth knowledge of quality improvement processes to ensure safe, effective, efficient, and equitable patient centered care
• Apply key technical concepts to vendor relationships and multidisplinary teams in order to serve as a leader and advocate for best practices and advancement of care
• Apply ethical principles to issues related to health care technologies
• Demonstrate understanding of financial issues related to the costs of techology

• None

MA 703 - Partial Differential Equations

• Write Fourier series of functions with period 2p
• Write Fourier series of functions with arbitrary periods
• Be able to write Fourier series of non-periodic functions using half-range expansions
• Write the complex form of Fourier series
• Solve one-dimensional wave equation using method of separation of variables and apply it to vibrating strings
• Solve one-dimensional heat equation using method of separation of variables and apply it to heat conduction in bars
• Solve two-dimensional wave and heat equations using method of separation of variables
• Solve two-dimensional Laplace’s equation in rectangular coordinates
• Solve two-dimensional wave equation in polar coordinates and apply it to vibrating membranes
• Solve two-dimensional Laplace’s equation in polar coordinates and use it in applications.

• Ordinary differential equations
• Infinite series

• What is a partial differential equation and interpreting a given partial differential equation
• Periodic functions
• Fourier series
• Fourier series of functions with arbitrary periods
• Half-range expansions: Fourier sine and cosine series
• Complex form of Fourier series
• Forced oscillations
• Modeling: Vibrating string and one-dimensional wave equation 
• Solution of one-dimensional wave equation using method of separation of variables
• D’Lambert’s method of solving one-dimensional wave equation
• Solution of one-dimensional heat equation using method of separation of variables
• Heat conduction in bars: Varying the boundary conditions

ME 512 - Heat Transfer

• Model physical systems subject to heat transfer, using calculus and differential equations
• Solve the related differential equations, and concretely relate the results to an observable heat transfer process
• Apply models of conduction, convection and radiation heat transfer, and to solve practical engineering heat transfer problems

• Fluid Mechanics
• Thermodynamics
• Differential equations

• Fundamental concepts
• Conduction rate equation, thermal properties, heat diffusion equation
• One-dimensional, steady-state conduction and radial systems
• Two-dimensional steady-state conduction, internal heat generation
• Extended surfaces
• Transient conduction, lumped capacitance and other simplified models
• Boundary layer theory: relationship of velocity, thermal boundary layers
• Convection transfer equations
• Physical significance of dimensionless parameters
• Forced convection - external flow, internal flow
• Natural convection
• Heat exchangers: Overall heat transfer coefficient, LMTD
• Effectiveness-NTU method
• Fundamental concepts of radiation heat transfer
• Surface emission
• Additional topics in heat transfer for electronic devices

ME 514 - Thermodynamic Applications

• Analyze Otto and Diesel cycles.
• Perform 1st Law analysis of combustion processes.
• Perform basic integrated thermal systems design.
• Apply 1st and 2nd law to real systems.
• Demonstrate the principles of thermodynamics and heat transfer in laboratory experimentation. Experiments will include the analysis of: power cycles and refrigeration cycles, solar photovoltaic systems, solar thermal systems, and cogeneration systems

• First and Second Laws of Thermodynamics
• Ideal gas and incompressible liquid models, steam tables
• Rankine, refrigeration, and Brayton cycles
• Heat transfer- conduction, convection, radiation

• Internal combustion cycles (otto and diesel) cycles
• Reacting mixtures (combustion processes)
• Design project(s)
• Additional topics (compressible flow, cogeneration, psychrometrics, solar energy systems, fuel cells) chosen by instructor

• Internal Combustion Engine analysis
• Combustion analysis
• Refrigeration cycle
• Heat transfer: conduction, convection, radiation|
• Cogeneration
• Solar thermal energy systems
• Solar photovoltaic energy systems
• Fuel cells

ME 521 - Science of Engineering Materials

• Be familiar with typical properties and common engineering applications of broad categories of materials (metals, polymers, ceramics, composites)
• Identify needed material property data for various applications
• Understand the underlying principles involved in the processing/heat treatment of several materials
• Understand the role of diffusion in the processing and use of engineering materials

• Introductory Solid State Chemistry
• Basic mechanical principles

• Classification of Materials (1 hour)
• Mechanical and Electrical Properties of Materials (3 hours)
• Bonding and Structure in materials (metals, ceramics and polymers), including defects and imperfections (3 hours)
• Atomic movement (diffusion) in crystalline solids (2 hours)
• Polymer based materials: composition, structure, properties (3 hours)
• Ceramic materials, composition and properties (3 hours)
• Laboratory Demonstration (microscopy, tensile testing) (2 hours)
• Strengthening methods for metals (4 hours)
• Phase diagrams in metals (2 hours)
• Precipitation strengthening in Aluminum alloys (2 hours)
• Properties and heat treating of steel (3 hours)
• Review and Exam (2 hours)

ME 523 - Materials Selection

• Optimize material and shape selection factors
• Screen candidate materials and select suitable choices to fit given application requirements

• Mechanical properties
• Strength and materials
• Heat treatment and properties of ferrous alloys
• Heat treatment and properties of aluminum alloys
• Polymer basics
• Manufacturing processing for metals, polymers, & composites

• Categorization of materials and processes (3 hours)
• Design process and materials selection (3 hours)
• Identification of design functions constraints and objectives (12 hours)
• Screening selection with multiple constraints (3 hours)
• Influence of shape (6 hours)
• Product characteristics (3 hours)