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

• TBD 

• Structural Analysis

• TBD 

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  simple 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)
• Special Topics (5 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

• No course learning outcomes appended

• None

• No course topics appended

• 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 |

EE 814 - VLSI Circuit Design

• No course learning outcomes appended

• None

• No course topics appended

EE 871 - Modern Control Systems

• No course learning outcomes appended

• None

• No course topics appended

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

• No course learning outcomes appended

• Varies

• No course topics appended

EE 5981 - Electrical Engineering Special Topics with Laboratory

• Varies

• Varies

• Varies

• Varies

EV 611 - Applications of Chemistry in Environmental Engineering

• Understand the principles underlying the chemical transformations that take place in groundwater, surface water, and in water and wastewater treatment processes
• Apply the principles of water chemistry to the design of selected water/wastewater and soil/groundwater remediation processes
• Identify the various classes of organic compounds and how organic compounds behave and react in the environment
• Understand the field and laboratory procedures involved in the sampling and analysis of water and soil samples

• One year of general chemistry required

• No course topics appended

EV 612 - Biology for Environmental Engineers

• Categorize living things using basic biological systematics
• Be familiar with the basic biochemical macromolecules essential to life (carbohydrates, fats, proteins, etc.) and their chemistry
• Be familiar with the structure and function of procaryotic and eucaryotic cells
• Understand catabolic and anabolic metabolism in cells, including the fixing of carbon, and energy production
• Understand protein synthesis and its control at the gene level
• Understand the structure and function of ecosystems (ecological principles)

• None 

• Biological systematics
• Review of basic principles of chemistry and biochemistry
• Biological macromolecules (carbohydrates, proteins, etc.)
• Structure and function of cell membranes
• Procaryotic and eucaryotic cell structure and function
• Cell reproduction
• Quiz I
• Glycolysis
• Krebs cycle
• Electron transport chain
• Photosynthesis
• Plant structure and nutrition
• Midterm exam
• Structure and function of DNA and RNA
• Protein synthesis
• Gene control in procaryotes and eucaryotes
• DNA technology
• Introduction to ecology
• Biome descriptions and characteristics
• Distribution (spatial and temporal) of populations
• Population ecology (predation, competition, etc.)
• Quiz II
• Energy flow in ecosystems
• Presentation of small group projects
• Ecology of fresh water lakes
• Case study: Lake Michigan

EV 614 - Microbiology for Environmental Engineers

• 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

• Biology for environmental engineers or one year of college biology

• No course topics appended

EV 710 - Environmental Statistics and Modeling

• Compare two or more treatments or data sets for differences using the t-test, non-parametric tests, or analysis of variance (ANOVA)
• Assess the effects of one or more variables on the response of a system using full and fractional factorial designs
• Design testing programs to control the probability of Type I and Type II errors
• Build mathematical models of systems using linear and non-linear regression analysis, and time series analysis
• Create artificial data sets suitable for modeling purposes using Monte Carlo simulation
• Utilize the JMP statistical package with facility to perform statistical analysis

• None 

• Review of statistics and definitions
• Data visualization, estimating percentiles
• Software introduction and use
• Assessing differences between data using parametric and non-parametric tests
• Assessing differences between data using analysis of variance (ANOVA)
• Discuss final project.
• Experimental design: Design testing programs to control the probability of Type I and Type II errors
• Building models using linear regression, parsimony
• Transformations, problems with linearization
• Building models using non-linear regression, joint confidence region
• Midterm exam
• Experimental Design:
• Measuring the effects of variables on an outcome using full and fractional factorial designs.
• Smoothing, Time series analysis,
• Auto and partial auto-correlations
• Identifying distributions, Monte Carlo simulation
• Review for Final Exam
• Final Exam

EV 720 - Municipal Wastewater Treatment

• Understand sources, quantities and characteristics of wastewater pollutants and their impact to the environment
• Understand state and federal clean water regulations and emerging regulatory trends
• Specify typical design criteria and predict treatment performance for major physical, chemical and biological unit operations and processes used in municipal wastewater treatment
• Develop process flow diagrams to treat a wastewater given the wastewater characteristics and effluent limitations
• Perform mass and energy balances around treatment units
• Assess the performance of selected unit operations and processes using actual plant operating data
• Be familiar with sustainable solutions in water and biosolids reuse
• Estimate capital and O

• None 

• No course topics appended

EV 722 - Hydrogeology and Groundwater Pollution

• Understand the occurrence and movement of groundwater
• Understand the distribution and migration of environmental contaminants within groundwater
• Understand regulatory requirements governing groundwater contamination
• Understand the applications of insitu and exsitu groundwater treatment systems

• None 

• No course topics appended

EV 724 - Industrial Water Treatment and Stormwater Management

• No course learning outcomes appended

• None

• No course topics appended

EV 726 - Water Resources Management

• Understand the factors that affect stormwater runoff, nonpoint source pollution, and stream flow at various scales (project site, sub-basin, and watershed
• Be able to compute runoff rates (pre- and post-development) using a variety of methods
• Understand the local, regional, and state regulations regarding stormwater runoff and erosion control and be able to apply for the necessary permits to allow development
• Have the ability to design stormwater discharge and water quality control facilities including detention ponds, infiltration basins, swales, culverts, and manufactured stormwater treatment devices
• Know how to design a stormwater management and erosion control plan for a development
• Understand the environmental and functional benefits of wetlands and environmental corridors, how they are delineated and afforded special protection under the law
• Understand the regulations affecting development in floodplains and floodways and how to calculate impacts
• Know how to minimize and mitigate the affects developments in and adjacent to wetlands and be able to develop a water quality certification application and wetland mitigation plan

• At least one introductory course in fluid mechanics, hydrology, hydraulics, or water resources engineering, or consent of instructor

• Introduction to hydrology including the water cycle, basics of stream flow, erosion processes, how land use changes affect hydrology, and hydrologic modeling
• Protection of surface water quality including standard water quality criteria, point source discharge permitting, non-point source control, watershed-based planning, waterway regulatory permitting, and shoreland zoning
• Site stormwater management including construction site and permanent erosion control and stormwater management planning, design, and permitting
• Wetlands and environmental corridors including wetland classification and functionality, water quality certifications for construction projects, and mitigation
• Floodplain and floodway issues including zoning and development restrictions and design requirements
• Students will apply course topics to an actual development from concept through final design

EV 728 - Design of Hydraulic Systems

• No course learning outcomes appended

• None 

• No course topics appended

EV 730 - Solid and Hazardous Waste Minimization

• Access information of importance to hazardous and solid waste managers from engineering journals, government and Internet sources
• Identify hazardous wastes as defined by RCRA Subtitle C
• Manage a waste as a hazardous waste
• Use process analysis tools, including process mapping
• Understand pollution prevention criteria, strategies, programs, project guidelines
• Perform a life-cycle environmental impact inventory
• Evaluate life-cycle costs for a pollution prevention project
• Be familiar with RCRA Subtitle D, the solid waste management hierarchy
• Know some strategies for minimizing solid waste
• Know elements of sustainability
• Have opportunities to practice communicating clearly and concisely both in technical reports and presentations

• None

• No course topics appended

EV 732 - Solid Waste Engineering and Management

• No course learning outcomes appended

• None

• No course topics appended

EV 740 - Air Pollution Control

• Understand the basic concepts of air pollution control regulations, including the regulatory emphasis on pollution prevention/solvent substitution strategies
• Develop air emission estimates for a variety of industrial and commercial sources of air pollution
• Develop preliminary design of air pollution control systems based on key operating and performance parameters
• Converse with regulatory personnel on matters of air pollution control including permitting, emission, estimates, compliance determination and compliance monitoring
• Converse with equipment vendors on matters concerning equipment specification and selection
• Understand basic concepts in air dispersion modeling as a tool for regulatory compliance and design

• Basic Chemistry and Organic Chemistry
• Introduction to Fluid Mechanics
• Biology and Microbiology

• Air quality as a natural resource (0.25 class)
• Regulatory air quality protection (0.5 class)
• Air pollutant sources (0.5 class)
• Atmospheric chemistry (0.5 class)
• Air pollutant dispersion modeling (0.5 class)
• Ozone transport (0.25 class)
• Continuous emission monitoring and stack testing (0.5 class)
• Emission estimating (0.5 class)
• Sources and control of particulate emissions (0.5 class)
• Sources and control of hazardous air pollutants (1 class)
• Sources and control of volatile organic compound emissions (1 class)
• Sources and control of gaseous emissions (2 classes)
• Examination (1 class)
• Design project (2 classes)

EV 742 - Air Permitting

• No course learning outcomes appended

• None

• No course topics appended

EV 750 - Plant Safety/OSHA Issues

• No course learning outcomes appended

• None 

• No course topics appended

EV 752 - Risk Assessment and Environmental Auditing

• Understand the basic concepts of risk assessment, including how risk assessment is used in the development of environmental and safety regulations
• Understand the potential impacts of chemicals released to the environment
• Understand the effects of exposure to pollutants on human, animal and plant health
• Develop audit procedures to demonstrate regulatory compliance
• Develop methods and procedures for ISO 14000 certification

• None

• No course topics appended

EV 754 - Soil Science and Remediation Technologies

• No course learning outcomes appended

• None 

• No course topics appended

EV 756 - Environmental Project Program Management and Life Cycle Cost Analysis

• No course learning outcomes appended

• None

• No course topics appended

EV 760 - Environmental Law for Environmental Engineers

• No course learning outcomes appended

• None 

• No course topics appended

EV 799 - MSEV Independent Study

• No course learning outcomes appended

• None 

• No course topics appended

EV 800 - Research and Writing in Environmental Engineering

• 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

EV 890 - Environmental Engineering Systems Design I

• No course learning outcomes appended

• None 

• No course topics appended

EV 892 - Environmental Engineering Systems Design II

• No course learning outcomes appended

• None 

• No course topics appended

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

• No course learning outcomes appended

• 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

• No course learning outcomes appended

• 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

• No course learning outcomes appended

• None

• No course topics appended

GE 705 - Computer Assisted Engineering

• No course learning outcomes appended

• None 

• No course topics appended

GE 706 - Digital Control Systems

• No course learning outcomes appended

• None 

• No course topics appended

GE 791 - Engineering Specialty Paper

• No course learning outcomes appended

• None 

• No course topics appended

GE 796 - Engineering Project Proposal Development

• No course learning outcomes appended

• None

• No course topics appended

GE 797 - Engineering Project I

• No course learning outcomes appended

• None 

• No course topics appended

GE 798 - Engineering Project II

• No course learning outcomes appended

• None 

• No course topics appended

GE 799 - MSE Independent Study

• No course learning outcomes appended

• Varies

• No course topics appended

GE 6000 - Advanced Engineering Principles/Analysis -I

• No course learning outcomes appended

• None 

• No course topics appended

GE 6100 - Advanced Engineering Principles/Analysis - II

• No course learning outcomes appended

• None 

• No course topics appended

GE 6200 - Advanced Engineering Principles/Analysis - III

• No course learning outcomes appended

• None 

• No course topics appended

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)