May 16, 2024  
2016-2017 Undergraduate Academic Catalog 
    
2016-2017 Undergraduate Academic Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Electrical Engineering

  
  • EE 2931 - Systems Interfacing

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In this course students develop the ability to design complex embedded systems using microprocessors. Students construct a single-board microcomputer system which is used to control a mobile robot. Components needed for this project are purchased by the student in kitform. Concepts covered include embedded systems design, sensors and actuators, interfacing of analog and digital sensors and actuators, and electro-mechanical devices. (prereq: EE 2920 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Utilize typical micro-controller subsystems such as EEPROM, ADC, Timer, UART
    • Design embedded systems for a specific application
    • Design interrupt driven programs
    • Design complex programs for embedded systems
    • Design and conduct experiments
    • Write a professional technical report

    Prerequisites by Topic
    • DC circuit analysis (EE 2050 )
    • Micro-controller subsystem programming (EE 2920 )
    • C programming (EE 1910 )

    Course Topics
    • Hardware and software interface of sensors and actuators (6 classes)
    • Mechanical system design (2 classes)
    • FSM and interrupt-driven programming (4 classes)
    • Test-plan design and implementation (3 classes)
    • LCD interface (1 class)
    • Hardware design of embedded systems power supply and reset circuitry (1 class)
    • Serial to parallel conversion using I2C (1 class)

    Laboratory Topics
    • Inventory parts
    • Build mechanical platform and power subsystem
    • Write function and test procedure for LCD serial driver
    • Write functions for forward, reverse, and turning
    • Write functions for line sensing
    • In-lab practical examination
    • Write functions for obstacle detection
    • Write program and test procedure for navigating the ring and pushing blocks out of the ring
    • Write program and test procedure for system compliance testing
    • Write program and test procedure for final competition

    Coordinator
    Kerry Widder
  
  • EE 3001B - Signals and Circuits I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The theory and circuit applications of periodic signals are covered in this bridge course. The power in a circuit with multiple frequencies is investigated initially. Periodic signals are analyzed in circuits and filters using the sine and cosine forms of the Fourier series. The spectra of periodic signals are constructed from the Fourier series and signal distortion types are identified. The course concludes with the analysis and development of operational amplifier circuit relations. Laboratory experiments will reinforce the concepts presented. Note: This course is intended for transfer students and should be taken only upon approval of an EE program advisor. (prereq: full admission into the AAS-EET to BSEE transfer track or consent of an EE program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the power and effective value of sinusoidal signals in a circuit with multiple AC sources, whether of the same or different frequencies
    • Determine the average and effective values of periodic waveforms
    • Determine the response of linear circuits and systems to periodic signal inputs using the cosine and sine forms of the Fourier series
    • Determine the spectra of periodic signals
    • Identify and explain the reason for amplitude and phase distortion when present
    • Analyze electric circuits with dependent sources
    • Develop the output and gain expressions for basic OP-AMP circuit configurations
    • Apply mathematical software (currently Mathcad) in complex number, transfer function, and Fourier series calculations and plotting

    Prerequisites by Topic
    • DC and AC steady state circuit analysis: series-parallel circuit analysis, complex power, and superposition
    • Transfer functions and Bode plots of first order circuits
    • Differential and integral calculus
    • Calculations and plotting in spreadsheets or mathematical software
    • Circuit simulation software usage
    • Ideal OP-AMP properties

    Course Topics
    • Course introduction and orientation. (2 classes, not including the usual two lecture classes of the first week lost due to the Labor Day holiday)
    • Electrical power of multiple sinusoidal signals, average values, and effective values (4 classes)
    • Periodic signal representation with the sine and cosine (polar) forms of the Fourier series, spectra, circuit analysis, and distortion (5 classes)
    • Nodal analysis with dependent sources, basic OP-AMP circuit analysis to develop output and gain expressions (6 classes)
    • Exams and homework, including the final exam (12 classes)

    Laboratory Topics
    • Introduction, laptop and software setup and orientation, electronic instruments, safety (2 sessions) [Exp. 1, 3]
    • Mathematical software tutorial (1 session) [Exp. 2]
    • Complex power, average power, and effective values (DMM, handheld power meter) (1 session) [Exp. 4]
    • Response of first order circuits (digital oscilloscope with FFT module, arbitrary waveform generator) (2 sessions) [Exp. 5, 8]
    • Generating periodic waveforms by adding spectral components from AWGs (1 session) [Exp. 6]
    • Spectra measurements (digital oscilloscope with FFT module, arbitrary waveform generator) (3 sessions) [Exp. 7, 8]
    • Activity to be designated per the instructor’s discretion (1 session)
    • OP-AMP phase shifting networks (1 session) [Exp. 9]

    Coordinator
    Robert Strangeway
  
  • EE 3002B - Signals and Circuits II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The transient responses of electric circuits are emphasized in this bridge course. Initially a variety of waveforms, including step, ramp, sinusoid, exponential, and impulse functions, are expressed analytically. The voltage-current responses of resistances, inductors, and capacitors to these waveforms are determined. Time domain differential equations and Laplace transforms are emphasized as circuit analysis techniques to determine the transient responses of first and second order circuits. An examination of transfer functions and pole-zero diagrams concludes the course. Note: This course is intended for transfer students and should be taken only upon approval of an EE program advisor. (prereq: EE 3001B , MA 235  or MA 3502 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Mathematically express step, ramp, sinusoid, exponential, impulse, and combinations of functions (composite waveforms)
    • Describe the electrical principles underlying the voltage-current time domain relationships for resistances, inductors and capacitors
    • Set-up and solve differential equations to determine the complete time-domain responses of simple RC, RL, and RLC networks
    • Apply the exponential function and Euler’s identity in the development of the AC sinusoidal phasor relationships from the time domain relationships for resistances, inductors, and capacitors
    • Evaluate Laplace and inverse Laplace transforms using tables, partial fraction expansion, and software
    • Utilize Laplace transforms in the solution of circuits with initial conditions
    • Describe circuit behavior from the poles of a transfer function, including the relationship between frequency and time domain responses
    • Apply mathematical software (currently Mathcad and Matlab) in waveform and transient circuit calculations and plotting

    Prerequisites by Topic
    • Steady state DC, AC, and periodic signal circuit analysis
    • Transfer functions and Bode plots of first-order circuits
    • Basic RL and RC circuit transients (charging, discharging, and time constant concepts)
    • Resonant circuits
    • Differential and integral calculus
    • Differential equations
    • Operational knowledge of mathematical software (currently Mathcad)

    Course Topics
    • Course introduction, mathematical expression of waveforms (4 classes)
    • Time domain behavior and voltage-current relationships of resistors, inductors, and capacitors with application to single waveform functions; the Op-Amp integrator and differentiator (3 classes)
    • Solution of simple RL, RC, and RLC circuits in the time domain using differential equations (4 classes)
    • Development of AC phasor relationships from time domain relationships using exponential functions and Euler’s identity (2 classes)
    • Laplace transform concepts, transform properties and mechanics of circuit analysis (5 classes)
    • Circuit analysis, transfer functions, and time domain-complex frequency domain relationships (6 classes)
    • Mathematical software instruction (currently Matlab) (1 class)
    • Exams and homework, including the final exam (16 classes)

    Coordinator
    Robert Strangeway
  
  • EE 3031 - Signals and Systems

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces fundamental continuous-time engineering signals and systems analysis. Topics related to continuous-time signal and system analysis include signal and system properties, impulse responses, convolution integrals, Fourier series analysis, Fourier transform analysis, power and energy calculations, transfer functions and frequency response, signal bandwidth, and impulse sampling. Engineering applications such as signal filtering will be discussed. MATLAB may be used for signal calculations and system simulation. (prereq: EE 3220 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Compute the power and energy of a continuous-time signal in the time domain
    • Represent a continuous-time signal using a set of orthogonal basis functions
    • Compute the output of a continuous-time, LTI system using time-domain techniques
    • Derive the Fourier series coefficients for a given periodic signal
    • Determine and plot the magnitude and phase spectra of a signal using the Fourier series or the Fourier transform
    • Compute the power and/or energy of a continuous-time signal in the frequency domain
    • Compute the output of a continuous-time LTI system using frequency-domain techniques
    • Compute the Fourier transform of a signal by using the Fourier transform integral or a table of common pairs and properties
    • Analyze a multistage system in block-diagram form, such as a communication system
    • Relate a continuous-time Fourier transform to its corresponding discrete-time Fourier transform

    Prerequisites by Topic
    • Calculus
    • Circuit analysis
    • 1st and 2nd order differential equations
    • Discrete-time Fourier analysis (DTFT, DFS, DFT, FFT)
    • Z-transforms
    • Laplace transforms

    Course Topics
    • Introduction to signals and systems
    • Signal and system properties
    • Convolution integral and impulse and step responses
    • Fourier series and its properties
    • Fourier transform and its properties
    • Spectrum of a continuous-time signal
    • Calculation of signal power or energy
    • Bandwidth of signals and systems
    • Sampling and reconstruction of a sampled signal

    Coordinator
    Jay Wierer
  
  • EE 3032 - Signals and Systems

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces fundamental engineering signals and systems analysis. Important signal and systems topics include signal and system properties, impulse and step responses, convolution, Fourier series, Fourier transform, power and energy, frequency response, and sampling. Applications such as signal filtering, radar systems, music, and communication systems will be covered during in-class application modules. MATLAB will be used to model and simulate signals and systems. (prereq: EE 2070  or EE 2725  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Compute the output of a continuous-time, LTI system using time-domain techniques
    • Represent a continuous-time signal using a set of orthogonal basis functions
    • Derive the Fourier series coefficients for a given periodic signal
    • Determine and plot the magnitude and phase spectra of a signal using Fourier analysis
    • Compute the power or energy, as appropriate, of a continuous-time signal using its time- or frequency-domain representation
    • Compute the output of a continuous-time LTI system using frequency-domain techniques
    • Determine the Fourier transform of a signal by using the Fourier transform integral or a table of common pairs and properties
    • Analyze a multistage system in block-diagram form, such as a communication system
    • Determine the frequency-domain representation of an impulse-train sampled signal

    Prerequisites by Topic
    • Integral calculus
    • Transient circuit analysis
    • Linear ordinary differential equations
    • Laplace transforms

    Course Topics
    • Introduction to signals and systems
    • Signal and system properties
    • Convolution integral and impulse and step responses
    • Fourier series and its properties
    • Fourier transform and its properties
    • Spectrum of a continuous-time signal
    • Calculation of signal power or energy
    • Bandwidth of signals and systems
    • Sampling and reconstruction of a sampled signal

    Coordinator
    Jay Wierer
  
  • EE 3050 - Dynamic Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces modeling and analysis techniques of the major types of dynamic engineering systems: mechanical translational, mechanical rotational, electromechanical, and operational amplifier systems. Appropriate methods for analytically solving system differential equations are reviewed. (prereq: EE 2070 , PH 2010 ) (coreq: MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand basic components of mechanical and electrical (including ideal operational amplifiers)
    • Combine mechanical and electrical (including ideal operational amplifiers) components into systems
    • Formulate mechanical, electrical, and mixed discipline systems into appropriate differential equation models including state space models
    • Analyze systems for dynamic time-domain response and for frequency response
    • Recognize the similarity of the response characteristics of various physically dissimiliar systems
    • Predict system response using analytic methods

    Prerequisites by Topic
    • Linear differential equation solution techniques
    • Transient analysis of series and parallel RLC circuits
    • Laplace transform analysis of circuits
    • Transfer functions
    • Electric circuit frequency response
    • Draw free body diagrams for static systems
    • Identify forces related to each other through Newton’s 3rd Law of Motion
    • Apply the principles of Conservation of Energy and Conservation of Linear Momentum to solve problems

    Course Topics
    • Modeling in the frequency domain
    • Modeling in the time domain
    • Time response

    Coordinator
    Karl
  
  • EE 3051B - Dynamic Systems

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces modeling and analysis techniques of the major types of dynamic engineering systems: mechanical translational, mechanical rotational, thermal, electromechanical, fluid, and operational amplifier systems. Appropriate methods for analytically solving system differential equations are reviewed. (prereq: EE 3002B  or EE 2070 , PH 113  or PH 2010 ) (coreq: MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Represent a mechanical system using free body diagrams
    • Understand basic components of dynamic mechanical and electrical systems
    • Combine mechanical and electrical (including DC motors) components into systems
    • Formulate mechanical, electrical, and mixed discipline systems into appropriate differential equation models including state space models
    • Analyze systems for dynamic time-domain response and for frequency response
    • Predict system response using analytic methods

    Prerequisites by Topic
    • Linear differential equation solution techniques
    • Transient analysis of series and parallel RLC circuits
    • Laplace transform analysis of circuits
    • Transfer functions
    • Electric circuit frequency response
    • Identify forces related to each other through Newton’s 3rd Law of Motion
    • Apply the principles of Conservation of Energy and Conservation of Linear Momentum to solve problems

    Course Topics
    • Modeling translational and rotational dynamic systems in the time domain
    • Modeling translational and rotational dynamic systems in the frequency domain
    • Time response of 2nd order mechanical systems
    • State-space representation of systems

    Coordinator
    Joshua Carl
  
  • EE 3101 - Operational Amplifiers

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course focuses on design with operational amplifiers. Linear and non-linear amplifiers, active filters, and signal generators are covered. The concepts of stability of operational amplifier circuits are introduced. Static and dynamic limitations are covered. Great emphasis is placed on the design of different kinds of operational amplifier circuits and their applications. (prereq: EE 2070  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamentals of operational amplifiers
    • Design operational amplifier circuits with resistive feedback
    • Design simple active filters
    • Describe static and dynamic limitations of operational amplifiers
    • Determine stability of operational amplifier circuits
    • Design non-linear operation amplifier circuits

    Prerequisites by Topic
    • Transfer Function, Bode Plots, transient analysis, first and second order circuits

    Course Topics
    • Operational amplifier fundamentals
    • Operational amplifiers with resistive feedback
    • Active filters
    • Static op amp limitations
    • Dynamic op amp limitations
    • Stability
    • Non-linear circuits
    • Signal gernerators

    Laboratory Topics
    • Linear amplifier design, simulation, and implementation
    • Instrumentation amplifier design, simulation, amd implementation
    • First-order active filter design, simulation, and implementation
    • Second-order active filter design, simulation, and implementation
    • Approximate filter design
    • Multiple linear amplifier and active filter design, slew-rate determination
    • Frequency compensation
    • Schmitt trigger design

    Coordinator
    Joerg Mossbrucker
  
  • EE 3102 - Analog Electronics I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course considers the mathematical modeling of active solid state devices and the analysis and design of single-stage circuits incorporating them. Small signal amplifiers are analyzed and designed and the circuits are implemented in the laboratory. Topics covered include the study of device characteristics and applications of p-n-junction diodes, bipolar junction transistors, and field effect transistors. Circuit simulation software is utilized as an engineering design tool. (prereq: EE 2070  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the operation of semiconductor devices
    • Design and implement basic diode and Zener diode circuits
    • Design and implement single-stage amplifier circuits using either BJTs or FETs
    • Create small-signal mid-band equivalent circuits for a single-stage amplifier
    • Apply probability analysis to electronic circuits
    • Maintain a laboratory notebook
    • Design and conduct experiments

    Prerequisites by Topic
    • AC circuit analysis
    • Transfer Functions
    • First-order circuits

    Course Topics
    • Semiconductor Materials and Diodes
    • Diode Circuits
    • Field Effect Transistor
    • FET Amplifier
    • MOSFET Digital Circuits
    • BJT
    • BJT Amplifier

    Laboratory Topics
    • PN Junction Diodes and LEDs
    • Linear Power Supplies
    • FET Digital Circuits and Amplifiers
    • BJT Switches and Amplifiers

    Coordinator
    Joerg Mossbrucker
  
  • EE 3111 - Electronic Devices and Circuits

    3 lecture hours 3 lab hours 4 credits
    Course Description
    This course considers the mathematical modeling of active solid state devices and the analysis and design of single state circuits incorporating them. Small signal amplifiers are analyzed and designed and the circuits are implemented in the laboratory. Topics covered include the study of device characteristics and applications of p-n-junction diodes, bipolar junction transistors, and field effect transistors. Circuit simulation software is utilized as an engineering design tool. (prereq: EE 2070  or BE 206 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the operation of semiconductor devices
    • Design and implement basic diode and Zener diode circuits
    • Design and implement single-stage amplifier circuits using either BJTs or FETs
    • Create small-signal mid-band equivalent circuits for a single-stage amplifier
    • Design BJT differential amplifier and current sources
    • Apply probability analysis to electronic circuits
    • Maintain a laboratory notebook
    • Design and conduct experiments

    Prerequisites by Topic
    • AC circuit analysis
    • Transfer Functions
    • First-order circuits

    Course Topics
    • Ideal and real diodes and diode circuits
    • Zener diodes and Zener regulator
    • DC and AC analysis of BJT amplifiers
    • DC and AC analysis of FET amplifiers
    • DC and AC analysis of differential amplifiers
    • DC analysis of current sources

    Coordinator
    Joerg Mossbrucker
  
  • EE 3112 - Analog Electronics II

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course focuses on design with operational amplifiers. Linear and non-linear amplifiers, active filters, and signal generators are covered. The concepts of stability of operational amplifier circuits are introduced. Static and dynamic limitations are covered. Emphasis is placed on the design of different kinds of operational amplifier circuits and their applications. (prereq: EE 3102  or EE 3002B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamentals of operational amplifiers
    • Design operational amplifier circuits with resistive feedback
    • Design simple active filters
    • Describe static and dynamic limitations of operational amplifiers
    • Determine stability of operational amplifier circuits
    • Design non-linear operational amplifier circuits

    Prerequisites by Topic
    • Transfer Functions
    • Bode Plots
    • Transient first and second order circuit analysis
    • BJT and FET device operation
    • Single stage transistor amplifier analysis

    Course Topics
    • Ideal Operational Amplifiers and Op-Amp Circuits
    • Op-Amp Applications
    • Feedback and Stability
    • Non-ideal Effects
    • Oscillators and Schmitt-Trigger Circuits

    Laboratory Topics
    • Inverting and Non-Inverting Amplifier Circuits
    • Feedback Topologies
    • Stability, Phase and Gain Margin, Frequency Compensation
    • Op-Amp Parameters
    • Active Filters
    • Osscillator and Schmitt-Trigger Circuits

    Coordinator
    Joerg Mossbrucker
  
  • EE 3202 - Electric and Magnetic Fields

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The primary goal of this course is to develop an understanding of the physical properties of electric and magnetic fields, which is the basis for electromagnetic field applications in electrical engineering. The associated mathematical vector analysis techniques serve as the vehicle to determine, analyze, and interpret electric and magnetic fields in various coordinate systems. Topics include vector algebra and calculus in the Cartesian, cylindrical and spherical coordinate systems, Coulomb’s law, Gauss’s law, electric potential, capacitance, and Biot-Savart law. (prereq: MA 232 , PH 2020 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply vector and calculus techniques to the solution of electromagnetic field problems in rectangular, cylindrical and spherical coordinate systems
    • Apply Coulomb’s law, Gauss’s law, potential, and Biot-Savart law to determine the analytical expressions of the electric and magnetic fields produced under idealized geometrical conditions
    • Describe capacitancein terms of electromagnetic field concepts and energy
    • Describe electric and magnetic field behavior from analytic expressions and/or simulation results

    Prerequisites by Topic
    • Calculus
    • Physics of electricity and magnetism

    Course Topics
    • Vector algebra and coordinate systems (7 classes)
    • Electrostatics: Coulomb’s law, Gauss’s law, and electric potential (8 classes)
    • Capacitance and conductor-dielectric boundary conditions (2 classes)
    • Magnetism, current densities, magnetostatics, Biot-Savart law (4 classes)
    • Introduction, homework and examinations (including final examination) (10 classes)

    Coordinator
    Robert Strangeway
  
  • EE 3204 - Electric and Magnetic Fields

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The primary goal of this course is to develop an understanding of the physical properties of electric and magnetic fields, which is the basis for electromagnetic field applications in electrical engineering. The associated mathematical vector analysis techniques serve as the vehicle to determine, analyze, and interpret electric and magnetic fields in various coordinate systems. Topics include vector algebra and calculus in the Cartesian, cylindrical and spherical coordinate systems, Coulomb’s law, Gauss’s law, electric potential, capacitance, Biot-Savart law, Ampere’s Circuital law, and inductance. (prereq: MA 232 , PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply vector and calculus techniques to the solution of electromagnetic field problems in rectangular, cylindrical and spherical coordinate systems
    • Apply Coulomb’s law, Gauss’s law, potential, Biot-Savart law, and Ampere’s Circuital law to determine the analytical expressions of the electric and magnetic fields produced under idealized geometrical conditions
    • Describe capacitance and inductance in terms of electromagnetic field concepts and energy
    • Describe electric and magnetic field behavior from analytic expressions and/or simulation results

    Prerequisites by Topic
    • Calculus
    • Physics of electricity and magnetism

    Course Topics
    • Vector algebra and coordinate systems (10 classes)
    • Electrostatics: Coulomb’s law, Gauss’s law, and electric potential (9 classes)
    • Capacitance and conductor-dielectric boundary conditions (2 classes)
    • Magnetism, current densities, magnetostatics, Biot-Savart law (4 classes)
    • Ampere’s Circuital law, magnetomotive force principles for magnetic circuits, inductance (5 classes)
    • Introduction, homework and examinations (including final examination) (11 classes)

    Coordinator
    Steven Holland
  
  • EE 3212 - Electromagnetic Waves

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The primary goal of this course is to establish the foundation concepts and applications of electromagnetic waves in the context of wireless applications. The course builds on electromagnetic field principles covered in previous courses. The course begins with magnetic field topics and transitions into an introduction to time dynamic electromagnetic fields. Maxwell’s equations are then examined. Electromagnetic wave propagation is initially developed from a circuits viewpoint in the study of transmission lines. The Smith Chart is utilized to graphically determine and display transmission line and measurement results. Scattering parameters are introduced as the parameters used to express specifications and measurements of high-frequency components. Transmission line concepts are then extended to electromagnetic plane waves. Antennas and propagation are examined from a communication link viewpoint. An introduction to electromagnetic interference and signal integrity issues concludes the course. High frequency measurement techniques, components, and instrumentation are examined in the laboratory sessions. (prereq: MA 235  or MA 2440H  or MA 3502 , EE 3202 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply Ampere’s Circuital law to idealized current distributions, magnetomotive force principles for magnetic circuits, and inductance determination
    • Explain the significance of each term in Maxwell’s equations (integral form)
    • Explain wave propagation, characteristic/intrinsic impedance, reflections, and standing waves for T-lines and plane waves
    • Determine DC step and pulse transients on a T-line from a traveling wave viewpoint
    • Apply the wave equation results for the AC T-line to voltage, current, impedance, and traveling and standing waves on a T-line
    • Measure and interpret displays and specifications of circuit/T-line reflection and transmission
    • Determine link loss per the Friss transmission equation
    • Explain electromagnetic interference (EMI) and the other principles behind signal integrity and high-speed circuit effects

    Prerequisites by Topic
    • Vector analysis in rectangular, cylindrical, and spherical coordinate systems
    • Vector calculus-based electrostatics and magnetostatics (integral forms)
    • Differential equations

    Course Topics
    • Ampere’s Circuital law, magnetomotive force principles for magnetic circuits, and inductance (3 classes)
    • Faraday’s law, mutual inductors, displacement current, and time-dynamic Maxwell’s equations (integral forms) (3 classes)
    • Transmission lines (DC transients and AC steady-state) (7 classes)
    • Smith Charts (2 classes)
    • Scattering parameters, components (2 classes)
    • Plane waves, antennas, and links (3 classes)
    • EMI and signal integrity (2 classes)
    • Introduction, homework days and examinations (including final examination) (9 classes)

    Laboratory Topics
    • Laboratory Safety (LMP)
    • Magnetic Circuit (Simulation)
    • Laboratory Documentation
    • Mutual Inductor Characteristics(lecture and experiment; 2 sessions)
    • Electrostatic and Magnetostatic Coupling of Transmission Lines
    • Microwave Laboratory: Introduction, Safety, and Power Measurements
    • Insertion Loss Measurements
    • Directional Couplers, Return Loss, and VSWR Measurements
    • RF Simulation (part of VNA experiment)
    • Vector Network Measurements (interactive demonstration)
    • Horn Antenna Link
    • Electromagnetic Interference (EMI) Measurements (lecture and interactive demonstration)

    Coordinator
    Robert Strangeway
  
  • EE 3214 - Electromagnetic Waves

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The primary goal of this course is to establish the foundation concepts and applications of electromagnetic waves in the context of wireless applications. The course builds on electromagnetic field principles covered in previous courses. The course begins with an introduction to time dynamic electromagnetic fields. Maxwell’s equations are then examined. Electromagnetic wave propagation is initially developed from a circuits viewpoint in the study of transmission lines. The Smith Chart is utilized to graphically determine and display transmission line and measurement results. Scattering parameters are introduced as the parameters used to express specifications and measurements of high-frequency components. Transmission line concepts are then extended to electromagnetic plane waves. Antennas and propagation are examined from a communication link viewpoint. An introduction to electromagnetic interference and signal integrity issues concludes the course. High frequency measurement techniques, components, and instrumentation are examined in the laboratory sessions. (prereq: MA 235  or MA 2440H  or MA 3502 EE 3204  or (EE 3202  and consent of EE program director))
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain the significance of each term in Maxwell’s equations (integral form)
    • Explain wave propagation, characteristic/intrinsic impedance, reflections, and standing waves for T-lines and plane waves
    • Determine DC step and pulse transients on a T-line from a traveling wave viewpoint
    • Apply the wave equation results for the AC T-line to voltage, current, impedance, and traveling and standing waves on a T-line
    • Measure and interpret displays and specifications of circuit/T-line reflection and transmission
    • Determine link loss per the Friss transmission equation
    • Explain electromagnetic interference (EMI) and the other principles behind signal integrity and high-speed circuit effects

    Prerequisites by Topic
    • Vector analysis in rectangular, cylindrical, and spherical coordinate systems
    • Vector calculus-based electrostatics and magnetostatics (integral forms)
    • Differential equations

    Course Topics
    • Faraday’s law, mutual inductors, displacement current, and time-dynamic Maxwell’s equations (integral forms) (4 classes)
    • Transmission lines (DC transients and AC steady-state) (8 classes)
    • Smith Charts (3 classes)
    • Scattering parameters, components (2 classes)
    • Plane waves, antennas, and links (3 classes)
    • EMI and signal integrity (2 classes)
    • Introduction, homework days and examinations (including final examination) (9 classes)

    Laboratory Topics
    • Laboratory Safety (LMP)
    • Magnetic Circuit (Simulation)
    • Laboratory Documentation
    • Mutual Inductor Characteristics(lecture and experiment; 2 sessions)
    • Electrostatic and Magnetostatic Coupling of Transmission Lines
    • Microwave Laboratory: Introduction, Safety, and Power Measurements
    • Insertion Loss Measurements
    • Directional Couplers, Return Loss, and VSWR Measurements
    • RF Simulation (part of VNA experiment)
    • Vector Network Measurements (interactive demonstration)
    • Horn Antenna Link
    • Electromagnetic Interference (EMI) Measurements (lecture and interactive demonstration)

    Coordinator
    Robert Strangeway
  
  • EE 3220 - Digital Signal Processing

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This is an introduction to the digital processing of signals. It begins with the examination of continuous and discrete time signals and systems, and the concepts of spectrum and steady state frequency response. Discrete time signal and system interaction is examined in both the time and frequency domains, through the use of convolution and transfer function. The DSP topics include impulse sampling, reconstruction, difference equations, z-transforms, transfer function, convolution, and FIR and IIR digital filter design and application. Discrete and Fast Fourier transforms are developed and applied. Lecture topics are supported by laboratory experiments on actual DSP hardware and including Matlab. (prereq: EE 2070  or EE 3002B , EE 1910  or EE 3910B  or SE 1011 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Represent a sequence of samples as a sum of weighted, delayed unit pulses
    • Determine the unit pulse response of a discrete-time system, given its difference equation
    • Compute the output of a system using the convolution sum
    • Determine the spectrum and noise properties, such as signal-to-noise ratio, of a digital signal

    Prerequisites by Topic
    • Circuit analysis
    • Transfer function
    • Laplace transforms
    • Sinusoidal steady-state frequency response

    Course Topics
    • Continuous, discrete signals, systems
    • System concepts - transfer functions
    • Convolution, sampling, reconstruction
    • Spectrum
    • Discrete and fast Fourier Transforms
    • Z Transforms
    • Frequency response
    • IIR and FIR digital filter design

    Laboratory Topics
    • Matlab principles
    • Signals and systems
    • Filtering
    • Frequency-domain representation
    • Filter implementationsSignal-to-noise ratio, quantization noise
    • Realtime DSP-1
    • Realtime DSP-2
    • Designing and applying digital filters

    Coordinator
    Cory Prust
  
  • EE 3221 - Digital Signal Processing

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course is an introduction to the digital processing of signals. It begins with the examination of sampling and reconstruction of continuous-time signals, which then motivates the study of fundamental DSP topics. Discrete time signal and system interaction is examined in both the time and frequency domains. The course then examines DSP topics and techniques including the discrete Fourier transform, fast Fourier transform, FIR and IIR filtering, and design of digital filters using various techniques. Lecture topics are supported and extended by laboratory experiments that integrate DSP theory, Matlab simulation, and implementation on actual real-time DSP hardware. (prereq: EE 3032 , EE 1910  or EE 2905  or EE 3910B  or CE 2812   or CE 2811 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Relate the spectrum of a continuous-time signal to the spectrum of the sampled signal computed using the DFT
    • Compute the z-transform of a discrete-time signal using the z-transform summation and a table of common pairs and properties
    • Determine the transfer function, frequency response, and stability of a discrete time system
    • Determine the signal-to-noise ratio that results from digitizing an analog signal
    • Design an IIR digital filter by using pole-zero placement methods
    • Implement a prototype analog filter in a discrete-time system using the Bilinear Transform
    • Compute the output of a discrete-time LTI system using time-domain and frequency-domain technique
    • Use computer-aided methods to design FIR and IIR digital filters
    • Implement digital filters in real-time using actual DSP hardware

    Prerequisites by Topic
    • Continuous-time signals and systems including time-domain and frequency-domain analysis
    • Laplace and continuous-time Fourier transforms
    • Procedural programming in C (or similar)

    Course Topics
    • Impulse-train sampling
    • Signal-to-noise ratio of digital signals
    • Discrete-time signals and systems
    • Time-domain analysis of discrete-time systems
    • Z transform
    • Frequency-domain analysis of discrete-time systems
    • Relationship between CTFT, DTFT, and DFT
    • IIR and FIR digital filter design
    • Bilinear transform

    Laboratory Topics
    • Introduction to real-time processing of digital signals
    • Signal generation and aliasing
    • Analog input/output in a real-time DSP system
    • Quantization error
    • Discrete filters and frequency response
    • DFT windowing
    • FIR filter design
    • IIR filter design using pole/zero placement
    • IIR filter design using bilinear transformation

    Coordinator
    Cory Prust
  
  • EE 3401 - Electromechanical Energy Conversion

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course provides an introduction to the basic principles of electromechanical energy conversion devices. Topics include three-phase circuits; magnetic circuits; theory, construction, and operation of transformers; performance characteristics and analysis of common rotating ac machines and their control. The concurrent laboratory work reinforces the theoretical principles involved. (prereq: EE 2060 , PH 2020 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Program a programmable logic controller using ladder diagrams
    • Measure complex power flow in single and three phase circuits
    • Perform short-circuit and open-circuit tests on a transformer and determine the parameters of the equivalent circuit
    • Operate a three-phase squirrel-cage induction motor and measure the motor torque-speed and efficiency curves
    • Understand basic methods of starting and speed control of induction and synchronous motors
    • Operate a three-phase variable field synchronous motor and measure the open circuit characteristic and V-curves
    • Analyze balanced three-phase circuits
    • Compute complex power flow in balanced three-phase circuits
    • Solve basic two-dimensional magnetic circuit problems
    • Analyze circuits with single and three phase transformers
    • Know the basic construction features of three-phase squirrel-cage induction (asynchronous) motors
    • Analyze three-phase induction motor steady state operation
    • Describe the basic construction details of cylindrical rotor and salient-pole three-phase synchronous machines
    • Analyze three-phase cylindrical rotor synchronous generator and motor steady state operation

    Prerequisites by Topic
    • Steady state single phase ac circuit analysis
    • Single phase complex power

    Course Topics
    • Prerequisite review and assessment (1 period)
    • Single phase ac power flow (1 period)
    • Three phase ac circuit analysis and power flow (2 periods)
    • Magnetic circuits, hysteresis, and eddy-current losses (3 periods)
    • Principles of operation, construction, connections, development and analysis of the equivalent circuit of the transformer (6 periods)
    • Rotating magnetic fields; performance characteristics and analysis of three-phase induction motors (7 periods)
    • Performance characteristics and simplified analysis of synchronous machines (4-5 periods)
    • Exams and reviews (5 periods)

    Laboratory Topics
    • Laboratory safety, engineering logbooks, prerequisite quiz
    • Basics of programmable controllers
    • Single and three phase ac power measurements
    • Single-phase transformer tests
    • Three-phase transformer connections
    • Squirrel cage induction motor fixed frequency operation
    • Squirrel cage induction motor variable frequency operation
    • Synchronous motor V-curve
    • Synchronous machine open circuit characteristic

    Coordinator
    Luke Weber
  
  • EE 3720 - Control Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    Students are introduced to the fundamentals of automatic control systems including analysis and design. Classical control system topics include system response and performance characteristics, stability criteria and analysis, dominant pole approximation, phase and PID compensator design. MATLAB and Simulink are used to aid in the analysis and design of control systems. The laboratory work introduces modern techniques needed for the design and implementation of automatic control systems. (prereq: EE 3050  or EE 3051B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Analyze a system’s time-domain performance
    • Simplify system block diagrams
    • Determine system stability using Routh-Hurwitz criterion, including for a single parameter variation
    • Determine steady-state error in a system for typical inputs, including a disturbance input
    • Obtain the root-locus for typical open-loop transfer functions
    • Design closed-loop phase-type and PID control systems by root-locus techniques
    • Design and implement real-time servo-control systems in laboratory
    • Write a technical report about a laboratory design project
    • Realize closed loop controllers with analog and digital networks
    • Analyze systems using frequency response methods: Bode diagrams
    • Maintain a laboratory notebook, either electronically or in paper form

    Prerequisites by Topic
    • Obtain a linear dynamic model (state space and transfer function) of physical systems, including electrical, mechanical and electromechanical systems
    • Analyze systems for dynamic time-domain response
    • Predict system response using analytic and digital simulation methods

    Course Topics
    • Prerequisite review and assessment (1 class)
    • Overview of feedback systems (1 class)
    • Electromechanical system modeling review (1 class)
    • Time-domain response and performance indices (4 classes)
    • Block diagram representation and reduction, Mason’s gain formula (3 classes)
    • Control system characteristics; stability analysis via Routh-Hurwitz criterion, steady-state error analysis (4 classes)
    • Root-locus analysis (3 classes)
    • Root-locus design; phase lead, phase-lag, PID controller designs (5 classes)
    • Frequency response analysis (2 classes)
    • Reviews and Examinations. (5 classes)

    Laboratory Topics
    • Introduction to data acquisition and real-time control hardware
    • Feedback system simulation
    • System modeling using time-domain measurements
    • Position feedback control design project
    • Error-improving velocity feedback control design project
    • Phase-lead compensated position control design (digital controller)
    • Phase-lead compensated position control design (analog controller)
    • System modeling using frequency response measurements

    Coordinator
    Jay Wierer
  
  • EE 3900B - Design of Logic Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The goal of this course is to develop the ability to design combinational and sequential logic circuits used to construct digital systems. Topics discussed include analysis and design of ALU, tristate devices, multiplexers, bus, flip-flops, counters, registers, timing and state diagrams, ASM chart and memory devices. Students design a digital system, such as simple microprocessor, a video driver or communications module. VHDL is used for design and an FPGA is used for logic realization. Digital circuit simulators and logic analyzers are used in the design and testing process. (prereq: full admission into the AAS-EET to BSEE transfer track or consent of an EE program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design combinational logic circuits using VHDL and test on a programmable logic device (FPGA)
    • Design storage elements (Flip-flops, Latches), ALU, counters, registers, tristate devices, multiplexers, and bus using VHDL and test on a programmable logic device (FPGA)
    • Design synchronous sequential circuits using state diagrams and/or ASM using VHDL and test on a programmable logic device (FPGA)
    • Design VHDL model of a digital system, such as simple microprocessor, a video driver and/or communications module, and test on a programmable logic device (FPGA)
    • Use commercially available digital-design software tools and evaluation boards to design, simulate and implement design circuits

    Prerequisites by Topic
    • Procedural programming concepts, Number systems: Binary, decimal, hexadecimal, Conversion from one number system to another, Binary arithmetic, Boolean algebra , Logic operations, Logic gates, Logic expressions and Logic functions. Simplification of logic functions using Karnaugh map and/or Boolean algebra. Codes: Binary Coded Decimal (BCD), ASCII. Combinational digital circuits. Storage elements such as flip-flops and latches, and synchronous sequential digital circuits

    Course Topics
    • Hardware description language for modeling of digital circuits
    • Design combinational logic circuits using VHDL
    • Design VHDL models of storage elements (Flip-flops, Latches), ALU, counters, registers, tristate devices, multiplexers, and buses
    • Design finite state machines (FSM), state diagrams, ASM, and behavioral description of FSM using VHDL
    • Implementation of logic elements, combinational logic circuits, sequential circuits in a FPGA
    • Design ROM, SRAM, or DRAM using Altera MegaWizard and/or VHDL
    • Design a digital system such as VGA driver, simple microprocessor and/or communications module, using VHDL and test on a programmable logic device (FPGA)
    • Review sessions and exams

    Laboratory Topics
    • Design combinational circuits using VHDL
    • Design VHDL models of storage elements (Flip-Flops, Latches), ALU, counters, registers, tristate devices, multiplexers, and bus
    • Design finite state machine (FSM) using VHDL
    • Design RAM or ROM using Altera MegaWizard and/or VHDL
    • Implementation of combinational logic circuits, sequential circuits and FSM in FPGA
    • Design and implementation of digital systems

    Coordinator
    Joshua Carl
  
  • EE 3910B - Embedded Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In this course students develop the understanding of microprocessor based systems with specific focus on an embedded system architecture, the ability to design and implement real-time applications using interrupts, and the ability to interface external devices to the system. High level programming language will be used for programming purposes. Laboratory sessions and class projects will be used to enhance lecture topics. (prereq: full admission into the AAS-EET to BSEE transfer track or consent of an EE program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand all the components required and architecture of an embedded system
    • Design programs using a high-level language for programming the microcontroller
    • Compile, download, debug, and execute programs in the microcontroller
    • Describe and interpret timing diagrams
    • Use interrupt vectors and external interrupts to control the system and process
    • Use USART, SPI and/or I2C interfaces to communicate with external devices
    • Interface external devices to microcontroller
    • Design, construct and test an embedded system

    Prerequisites by Topic
    • Procedural programming concepts in C
    • Number systems, basic binary arithmetic, Boolean algebra
    • DC linear circuit analysis

    Course Topics
    • Elementary Computer Operations, Architecture of a typical Harvard 8-bit microprocessor and the ATmega328p microcontroller
    • C language programming including user-defined functions and modules
    • Timing, machine cycles and states
    • Parallel input/output, programmed I/O and interrupt I/O
    • Timing system and I/O
    • A/D and D/A conversion
    • Serial communication
    • Power management and sleep modes
    • Examinations and Review

    Laboratory Topics
    • Use of PC for developing programs, and for debugging software and hardware
    • Laboratory assignments to develop language programming skills
    • Laboratory assignments to develop microprocessor interfacing techniques to I/O devices
    • Design projects to interface the microcontroller to real world I/O devices. Each project requires a demonstration of the working hardware and software plus a formal design report
    • Design, construct and test an embedded system

    Coordinator
    Kerry Widder
  
  • EE 3921 - Digital System Design

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The objective of this course is to give students a solid foundation in 21st century digital systems design practices. The primary emphasis of the course is on designing a SOPC (System-On-A-Programmable-Chip). Thus the course incorporates the use of soft processors, such as the NIOS II from Altera. Designs are specified using VHDL and simulated on a personal computer. The design is then realized on an FPGA. Real-time verification of the design using an in-system logic analyzer such as SignalTap is emphasized. The course also involves advanced projects based on a soft processor interface. Due to the project oriented nature of the course, the syllabus is organized as a set of Case Studies. (prereq: CE 1911  or EE 2902 , EE 2050 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design a complex (more than 10,000 logic elements) digital system
    • Interface to external peripherals (such as audio codecs) using various protocols (like I2C)
    • Understand the architecture behind soft processors, such as the NIOS II
    • Describe the design and verification process through written communication in the form of laboratory reports

    Prerequisites by Topic
    • Steady state DC electrical circuit theory
    • Design techniques for combinational and sequential digital circuits
    • Familiarity with the campus PC network

    Course Topics
    • Introduction and course overview (1 class)
    • Review the combinational logic design process (1 class)
    • Review the sequential logic design process (2 classes)
    • Bidirectional bus interfacing (5 classes)
    • Algorithmic State Machine specification (1 class)
    • VGA interfacing (2 classes)
    • External peripheral interfacing (1 class)
    • Timing closure (3 classes)
    • Design partitioning (1 class)
    • Design of digital systems as Data Path and Control Unit (3 classes)
    • Design of a CPU as an example of a digital system - audio codec interfacing to NIOS processor (2 classes)
    • Debugging (4 classes)
    • Midterm review (1 class)
    • Course overview (2 classes)
    • Course survey (1 class)

    Laboratory Topics
    • Bidirectional bus interfaces
    • Timing closureSoft Processor interfacesFinite State Machine (FSM) design using VHDL will be performed using QUARTUS II an implemented on a FPGA
    • A FSM will be designed using the ASM method. The design of the Data Path and Control Unit such as a simple microprocessor will be performed. The circuit will be simulated using QUARTUS II and implemented on a FPGA

    Coordinator
    Kerry Widder
  
  • EE 4021 - Principles of Communications

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In the study of communication systems, students will investigate how they operate and what affects their performance. The course relies heavily on system and signal analysis, both in the time and frequency domains, and on the statistical representation of random signals and noise. Amplitude and angle modulation systems are analyzed, including systems that transfer analog data and systems transferring digital data. Performance comparisons of commonly used digital modulation methods are presented. Signal-processing techniques that are commonly used in systems that transfer digital data are presented. Bit-error rate performance for baseband signal detection in the presence of noise is analyzed. Laboratory experiments reinforce the concepts from the lecture, with an emphasis on communication system functional modules. (prereq: MA 3620 , EE 3031 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Develop the representations of analog AM, FM, and PM communication signals both in the time and frequency domains
    • Explain the representations of digitally modulated ASK, FSK, and PSK communication signals both in the time and frequency domains
    • Analyze communication systems and subsystems (both analog and digital) using both time and frequency domain techniques
    • Explain advantages and disadvantages of various modulation systems under differing circumstances
    • Determine the performance of digitally modulated amplitude and angle modulation systems with a specified signal-to-noise ratio
    • Determine required bandwidths and signal-to-noise ratios needed to achieve specified bit-error rates for various digital modulation methods in the presence of noise, at specified bit rates
    • Design an optimal correlation receiver for baseband and bandpass, binary and M-ary, digital communication systems operating in the presence of noise

    Prerequisites by Topic
    • Calculate the Fourier series coefficients (in trigonometric and exponential forms) for a continuous-time periodic signal
    • Reconstruct periodic signals from Fourier series coefficients. (This may be done with the aid of a digital computer)
    • Determine the result of signal and system interaction by convolution
    • Obtain the Fourier transform of a finite-energy signal, and the inverse-Fourier transform of a spectrum
    • Properly sample a continuous time signal to create a discrete time signal
    • Determine the probability that a random variable having a specified density function exceeds a stated threshold
    • Determine the mean-square value of a random variable having a specified density function
    • Apply Baye’s rule to determine a conditional probability

    Course Topics
    • Signal representations (2 classes)
    • System representations (2 classes)
    • Analog amplitude modulated (AM) signals and systems (6 classes)
    • Analog frequency and phase modulated (FM and PM) signals and systems (4 classes)
    • Digitally modulated amplitude-, phase- and frequency-shift key signals and systems (3 classes)
    • Random variables, processes, noise, performances with noise, optimal filters (6 classes)
    • Pulse code modulation and error-correction coding (2 classes)
    • Problem sessions, reviews, and tests (6 classes)

    Laboratory Topics
    • Spectrum measurements
    • Multiplication of signals and frequency conversion
    • Amplitude modulation
    • Frequency modulation
    • Sampling, quantization, and PCM
    • Digital modulation: ASK and FSK
    • Digital modulation: BPSK and QPSK
    • Baseband digital channel bit-error rate
    • Direct sequence spread spectrum and code division multiple access (CDMA)

    Coordinator
    Edward Chandler
  
  • EE 4022 - Principles of Communications

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In the study of communication systems, students will investigate how they operate and what affects their performance. The course relies heavily on system and signal analysis, both in the time and frequency domains, and on the statistical representation of random signals and noise. Amplitude and angle modulation systems are analyzed, including systems that transfer analog data and systems transferring digital data. Performance comparisons of commonly used digital modulation methods are presented. Signal-processing techniques that are commonly used in systems that transfer digital data are presented. Bit-error rate performance for baseband signal detection in the presence of noise is analyzed. Laboratory experiments reinforce the concepts from the lecture, with an emphasis on communication system functional modules. (prereq: MA 262  or MA 3620 , EE 3031  or EE 3032 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Develop the representations of analog AM, FM, and PM communication signals both in the time and frequency domains
    • Explain the representations of digitally modulated ASK, FSK, and PSK communication signals both in the time and frequency domains
    • Analyze communication systems and subsystems (both analog and digital) using both time and frequency domain techniques
    • Explain advantages and disadvantages of various modulation systems under differing circumstances
    • Determine the performance of digitally modulated amplitude and angle modulation systems with a specified signal-to-noise ratio
    • Determine required bandwidths and signal-to-noise ratios needed to achieve specified bit-error rates for various digital modulation methods in the presence of noise, at specified bit rates
    • Design an optimal correlation receiver for baseband and bandpass, binary and M-ary, digital communication systems operating in the presence of noise

    Prerequisites by Topic
    • Calculate the Fourier series coefficients (in trigonometric and exponential forms) for a continuous-time periodic signal
    • Reconstruct periodic signals from Fourier series coefficients. (This may be done with the aid of a digital computer)
    • Determine the result of signal and system interaction by convolution
    • Obtain the Fourier transform of a finite-energy signal, and the inverse-Fourier transform of a spectrum
    • Properly sample a continuous time signal to create a discrete time signal
    • Determine the probability that a random variable having a specified density function exceeds a stated threshold
    • Determine the mean-square value of a random variable having a specified density function

    Course Topics
    • Signal representations (2 classes)
    • System representations (2 classes)
    • Analog amplitude modulated (AM) signals and systems (6 classes)
    • Analog frequency and phase modulated (FM and PM) signals and systems (4 classes)
    • Digitally modulated amplitude-, phase- and frequency-shift key signals and systems (3 classes)
    • Random variables, processes, noise, performances with noise, optimal filters (6 classes)
    • Pulse code modulation and error-correction coding (2 classes)
    • Problem sessions, reviews, and tests (6 classes)

    Laboratory Topics
    • Spectrum measurements
    • Multiplication of signals and frequency conversion
    • Amplitude modulation
    • Frequency modulation
    • Sampling, quantization, and PCM
    • Digital modulation: ASK and FSK
    • Digital modulation: BPSK and QPSK
    • Baseband digital channel bit-error rate
    • Direct sequence spread spectrum and code division multiple access (CDMA)

    Coordinator
    Edward Chandler
  
  • EE 4050 - Low-Noise Analog System Design

    3 lecture hours 0 lab hours 3 credits
    Course Description
    In this course students are given background in noise mechanisms and models as applicable to analog electronics. Topics covered included fundamental noise mechanisms, amplifier noise model, noise in feedback amplifiers, noise in BJTs and FETs, and low-noise design methodologies for amplifiers and power supplies. The noise model in SPICE is introduced and used for various designs. Different examples of low noise designs are extensively discussed and simulated. (prereq: EE 3111  or EE 3102 , EE 3101  or EE 3112 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

    Prerequisites by Topic
    • BJT DC and AC analysis, FET DC and AC analysis, SPICE simulation of analog electronic circuits

    Course Topics
    • 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)

    Coordinator
    Joerg Mossbrucker
  
  • EE 4060 - Introduction to Nonlinear Dynamics and Chaos

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces the student to the basic concepts of nonlinear dynamics and chaos via numerical simulations and electric circuits. The primary goal is to understand the bifurcations and steady-state behavior of nonlinear dynamical systems. The secondary goal is to study the phenomenon of chaos using computer simulation and physical circuits. In addition, due to the graduate nature of the course, students will be asked to work on a more challenging project, as opposed to the undergraduate course offering. (prereq: MA 235 , EE 2050  or EE 201 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamental differences between linear and nonlinear dynamical systems and the importance of studying nonlinear dynamics
    • Define the different bifurcation phenomenon of nonlinear systems in one, two and three dimensions
    • Apply bifurcation analysis to study practical systems such as oscillator circuits
    • Understand the concepts of Fractal dimensions, Poincare map and Lyapunov Exponents
    • Understand how to use circuit elements and devices to build nonlinear circuits
    • Perform literature review
    • Understand how to use circuit elements and devices to build nonlinear circuits

    Prerequisites by Topic
    • Understanding of linear constant coefficient ODEs
    • Basic circuit analysis

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

    Coordinator
    Joshua Carl
  
  • EE 4100 - Embedded System Fabrication

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course focuses on practical aspects of turning a laboratory prototype into a reliable production prototype. Lecture topics will follow a microprocessor-based embedded system design through the addition of support circuitry, production component selection, printed circuit board layout, and 3D design and printing of enclosures. Lab exercises will put these topics into practice as students will complete the design activities and assemble prototypes. (prereq: junior standing in CE or EE)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify support circuitry necessary for simple embedded systems
    • Describe criteria for component selection
    • Explain considerations for printed circuit board layout
    • Execute a printed circuit board layout, fabrication, and assembly  
    • Design an enclosure for an embedded system in 3D modeling software and utilize rapid prototyping to create enclosure

    Prerequisites by Topic
    • Basic embedded system design and programming
    • Basic circuit elements
    • Circuit analysis techniques

    Course Topics
    • None

    Coordinator
    Darrin Rothe
  
  • EE 4112 - Advanced Analog Electronics

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course continues investigation of single and cascaded BJT and MOSFET amplifiers. In addition, midband gains, impedances, and frequency responses of multi-transistor amplifiers are studied. The effects of classic feedback configurations on amplifier characteristics are included. A significant portion of the course is based on comprehensive design projects. Students are expected to use previously learned design tools such as PSPICE to explore alternatives and verify their designs. The designs are constructed and tested in the laboratory, and documented in formal design reports. (prereq: EE 3101  or EE 3112 , EE 3111  or EE 3102 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

    Prerequisites by Topic
    • Design of single-stage BJT amplifiers (EE 3111 )
    • Design of operational amplifier circuits (EE 3101 )

    Course Topics
    • 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)

    Coordinator
    Joerg Mossbrucker
  
  • EE 4142 - Power Electronics

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course focuses on the design and simulation of linear and switch-mode power supplies. Topics covered emphasize the use of various active devices in inverters, converters, drives, and power conditioning circuits. Different types of linear and switching power supplies are designed and their performance is analyzed. (prereq: EE 3102  or equivalent and EE 3112  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design and analyze linear power supplies
    • Design and analyze Buck Converters
    • Design and analyze Boost converters
    • Design and analyze Buck-Boost converters
    • Design and analyze Inverters

    Prerequisites by Topic
    • PN-junction diode operation
    • BJT and FET devices operation
    • Single stage transistor amplifier design and analysis
    • Om-Amp amplifier design

    Course Topics
    • Power, FFT analysis
    • Diode and SCR rectifiers, linear power supply
    • Buck converters
    • Boost converters
    • Buck-Boost converters
    • Forward converters
    • Inverters
    • Regulation of switch-type regulators

    Laboratory Topics
    • Simulation of single-phase rectifier circuits
    • Simulation and analysis of a single-phase AC voltage controller
    • Simulation, Implementation, and analysis of a linear power supply
    • Simulation, implementation, and analysis of a buck converter
    • Simulation, implementation, and analysis of a boost converter
    • Simulation, implementation, and analysis of a buck-boost converter
    • Simulation and analysis of a fly-back converter
    • Simulation and analysis of an inverter
    • Simulation and analysis of resonant converters

    Coordinator
    Joerg Mossbrucker
  
  • EE 4152 - Low-Noise Electronic System Design

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces the analysis and design of low-noise analog amplifiers. The different noise mechanism and models as applicable to analog electronics are introduced. Fundamental noise mechanism, amplifier noise models, noise in feedback amplifiers, noise in BJTs and FETs, and low-noise design methodologies for amplifiers and power supplies are covered. SPICE is used to analyze, model, and design various different projects. (prereq: EE 3102  or equivalent and EE 3112  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamental noise mechanism in electronic circuits
    • Analyze the noise behavior of BJT circuits
    • Analyze the noise behavior of JFET circuits
    • Analyze the noise behavior of OpAmp circuits
    • Design low-noise amplifiers using BJTs, JFETs, and OpAmps

    Prerequisites by Topic
    • Transfer Functions
    • Bode Plots
    • Design of BJT, FET, and OpAmp amplifier circuits

    Course Topics
    • Fundamental Noise Mechanisms
    • Amplifier Noise Model
    • Noise in BJTs
    • Noise in JFETs
    • Noise in Feedback Amplifiers
    • Transformer Coupling

    Laboratory Topics
    • Fundamental noise mechanism simulated in SPICE
    • BJT nosie model in SPICE, simulation and analysis
    • FET nosie model in SPICE, simulation and analysis
    • OpAmp noise model in SPICE, simulation and analysis
    • BJT and FET Noise Performance Plots, simulation and analysis
    • Design of a low-noise BJT amplifier
    • Design of a low-noise FET amplifier
    • Design of a low-noise OpAmp amplifier
    • Design of a low-noise power supply

    Coordinator
    Joerg Mossbrucker
  
  • EE 4250 - Advanced Signal Processing

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces students to advanced topics in signal processing. The course will focus on two main areas of signal processing: statistical signal processing and digital image processing. Adaptive filtering will be the primary focus of the statistical signal processing segment with applications such as gradient descent, LMS, and RLS algorithms. Techniques for image enhancement, restoration, and compression will be covered as applications of digital image processing. MATLAB will be used extensively as a simulation tool. (prereq: (EE 3220  or EE 3221 ) and (MA 262  or MA 3620 ), or consent of the instructor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

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

    Course Topics
    • 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)

    Coordinator
    Jay Wierer
  
  • EE 4280 - Antenna Theory and Wireless Applications

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The fundamental principles of antenna and wave propagation that underpin modern wireless systems and govern the design of EMI compliant high-speed circuit boards are developed in this course. Topics build upon the foundation established in electromagnetic fields and electromagnetic waves. The magnetic vector potential is introduced and is used to analyze canonical dipole and monopole antennas. Fundamental antenna concepts are examined, such as radiation patterns, directivity, gain, efficiency, bandwidth, and practical feeding techniques. Linear antenna arrays are then developed. Antenna and electromagnetic propagation principles are then applied to the analysis of common communication system links. (prereq: EE 3214  or EE 3212 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

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

    Course Topics
    • 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

    Coordinator
    Steven Holland
  
  • EE 4480 - Electrical Power Systems Quality

    3 lecture hours 0 lab hours 3 credits
    Course Description
    An advanced course that examines the causes, analysis and mitigation of power quality phenomena found in low, medium and high voltage systems. Topics covered include voltage sags, surges, interruptions, transients, notching, distortions, unbalance, current distortions, and frequency variations. (prereq: EE 3401  or electrical machines course)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

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

    Course Topics
    • 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)

    Laboratory Topics
    • 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

    Coordinator
    Rich Kelnhofer
  
  • EE 4720 - Control Systems Applications

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course extends the classical continuous time control techniques to the areas of discrete-time systems and state-space models. An independent hardware project is required that demonstrates the principles of control system analysis, modeling, and design. Control systems are analyzed, modeled, and designed using frequency response, z-transform and state-space techniques. (prereq: EE 3220  or EE 3221 EE 3720 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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

    Prerequisites by Topic
    • 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
    • Demonstrate the effects of discrete-time sampling of continuous signals

    Course Topics
    • 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)

    Laboratory Topics
    • 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

    Coordinator
    Jay Wierer
  
  • EE 4901 - Electrical Engineering Cooperative Practicum 1

    1 lecture hours 0 lab hours 1 credits
    Course Description
    Students complete one summer and contiguous fall or spring quarter of approved, supervised cooperative employment. An oral presentation and written report of the work performed is required. (prereq: consent of department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have gained professional work experience
    • Have presented both an oral and written summary of their work

    Prerequisites by Topic
    • None

    Course Topics
    • Vary with the work experience

    Coordinator
    Richard Kelnhofer
  
  • EE 4902 - Electrical Engineering Cooperative Practicum 2

    1 lecture hours 0 lab hours 1 credits
    Course Description
    Students complete one summer and contiguous fall or spring quarter of approved, supervised cooperative employment. An oral presentation and written report of the work performed is required. (prereq: EE 4901  and consent of department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have gained professional work experience
    • Have presented both an oral and written summary of their work

    Prerequisites by Topic
    • None 

    Course Topics
    • Vary with the work experience

    Coordinator
    Richard Kelnhofer
  
  • EE 4903 - Electrical Engineering Cooperative Practicum 3

    1 lecture hours 0 lab hours 1 credits
    Course Description
    Students complete one summer and contiguous fall or spring quarter of approved, supervised cooperative employment. An oral presentation and written report of the work performed is required. (prereq: EE 4902  and consent of department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have gained professional work experience
    • Have presented both an oral and written summary of their work

    Prerequisites by Topic
    • None

    Course Topics
    • Vary with the work experience

    Coordinator
    Richard Kelnhofer
  
  • EE 4980 - EE Special Topics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course allows for study of emerging topics in electrical engineering that are not present in the curriculum. Topics of mutual interest to faculty and students will be explored. (prereq: consent of instructor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Varies

    Prerequisites by Topic
    • Varies

    Course Topics
    • Varies

    Coordinator
    Richard Kelnhofer

Engineering Graphics

  
  • EG 103 - Technical Drawing and Visualization

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The objective of this course is to acquaint Technical Communication students with three-dimensional relationships and the graphical conventions utilized within the engineering community. Course topics will include seeing, visualizing and communicating through visual forms. The investigation of shape and orientation recognition, isometric sketching, mechanical and architectural layout conventions, normal views, scales, sections, dimensioning, and chart and graph formats will be emphasized. In addition, CAD as a medium for creation, retrieving and manipulating spatial and quantitative data in visual form will be introduced. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have an understanding of logical spatial reasoning and visualization
    • Develop the ability to sketch in pictorial and orthographical forms
    • Have an understanding of both mechanical and architectural drawing conventions, terminology and symbology
    • Have an understanding of projective spatial graphics
    • Have an understanding of lifting graphical images from CAD and placing them in word processing documents
    • Have an understanding of and appreciation for differences in graphical data presentation forms

    Prerequisites by Topic
    • None 

    Course Topics
    • Scales and required equipment (2 classes)
    • Sketching and visualization (4 classes)
    • Projection theory and reference planes (3 classes)
    • Pictorials (2 classes)
    • Projection and spatial geometry (e.g., true length lines, point views, true size, edge views) (6 classes)
    • Sections (4 classes)
    • Dimensioning (4 classes)
    • Graphical presentation of data (4 classes)
    • Computer graphics (12 classes)
    • Architectural teminology and symbology (6 classes)
    • Evaluations (3 classes)

    Laboratory Topics
    • Problems for each of the topics from the book or handout
    • Manipulation of cad files and lifting placing of graphical data in textual documents
    • Creation and evaluation of graphs and charts of various types

    Coordinator
    Marvin Bollman
  
  • EG 120 - Engineering Graphics I

    1 lecture hours 3 lab hours 2 credits
    Course Description
    This course is intended to introduce the student to the history and fundamentals of the graphic language. Topics include three-dimensional visualization, orthographic and axonometric sketching, projection theories, auxiliary views, basic concepts of projective geometry (visibility, lines and planes), as well as an introduction to 3-D CAD. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have an understanding of the process of logical spatial reasoning and visualization
    • Develop the ability to sketch in pictorial and orthographical forms
    • Develop the ability to read and create two-dimensional layouts with general dimensions
    • Have an understanding of and an ability to utilize projective spatial graphics
    • Develop the ability to use three-dimensional computer programs for engineering graphics

    Prerequisites by Topic
    • None 

    Course Topics
    • Scales and required equipment (2 classes)
    • Sketching and visualization (4 classes)
    • Projection theory and reference planes (3 classes)
    • Pictorials (2 classes)
    • Projection and spatial geometry (i.e., true length lines, point view, true size, edge views) (6 classes)
    • Sections (3 classes)
    • Dimensioning (3 classes)
    • Computer graphics (14 classes)
    • Evaluations (3 classes)

    Laboratory Topics
    • Problems for each of the topics from the book or handouts
    • Creation of 3D CAD models and solution of selected problems by means of the CAD program

    Coordinator
    Marvin Bollman
  
  • EG 122 - Engineering Graphics/Visualization

    1 lecture hours 3 lab hours 2 credits
    Course Description
    This course is designed to develop within the student the skills necessary to visualize three-dimensional relationships existing in the world around us and to represent, with standard graphic conventions, those relationships in a visual form. Topics include shape and orientation recognition, pictorial sketching and mechanical layout conventions including normal views, auxiliary views, sections, dimensioning and scales. In addition, projective geometry theory is presented as a basis for analysis of true size, shape, and distance. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain enhanced three-dimensional visualization skills
    • Gain enhanced two- and three-dimensional sketching abilities
    • Have a working knowledge of the orthographic projection system and its use in solving spatial relationship problems
    • Understand the basics of the general forms and uses of section and detail drawings
    • Have a general understanding and working knowledge of dimensioning and tolerancing

    Prerequisites by Topic
    • None 

    Course Topics
    • Scales and required equipment (4 classes)
    • Sketching and visualization (7 classes)
    • Projection theory, reference planes and auxiliary views (8 classes)
    • Projection and spatial geometry (i.e., true length lines, point view, true size, edge views) (5 classes)
    • Sections (5 classes)
    • Dimensioning and tolerancing (7 classes)
    • Evaluations (3 classes)

    Laboratory Topics
    • Problems for each of the topics selected from the book, workbook, or handouts (11 sessions)

    Coordinator
    Marvin Bollman
  
  • EG 123 - Applied Engineering Graphics/CAD

    1 lecture hours 3 lab hours 2 credits
    Course Description
    The objectives of this course are to acquaint the student with the operation of a CAD system and to apply projective geometry knowledge acquired in EG 122  to spatial problems both manually and on the computer. Specific topics will include perpendicularity, clearance distance, parallelism, piercing points and intersections. (prereq: EG 122 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have a greater awareness of spatial relationships and visualization
    • Have the ability to understand and utilize projective geometry techniques in the solution of three-dimensional problems
    • Have the ability to utilize three-dimensional computer graphics to generate, manipulate, and analyze graphical representations and spatial relationships

    Prerequisites by Topic
    • Isometric and orthographic sketching
    • Scales
    • Projection theory (auxiliary views, points, lines, planes, visibility)
    • Spatial geometry (true lengths, point views, edge views, true size)
    • Sections
    • Dimensioning

    Course Topics
    • CAD generation and editing of 3-D wire geometry (8 classes)
    • CAD view layout and dimensioning (4 classes)
    • CAD solid model creation (5 classes)
    • True angles (4 classes)
    • Rotation (3 classes)
    • Perpendicularity (4 classes)
    • Parallelism (4 classes)
    • Intersections (5 classes)
    • Evaluations (3 classes)

    Laboratory Topics
    • Freehand sketches
    • Instrument drawings of spatial problems of each of the course topics
    • Computer generation of 3-D objects
    • Manipulation of 3-D geometry within a CAD envionment

    Coordinator
    Marvin Bollman
  
  • EG 124 - CAD Graphics I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is intended to introduce the student to the history and fundamentals of the graphic language. Topics include three-dimensional visualization, orthographic and axonometric sketching, projection theories, auxiliary views, basic concepts of dimensioning and CAD. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have developed spatial reasoning and visualization skills
    • Have developed the ability to sketch in both pictorial and orthographical forms
    • Understand and be able to use ASME and ISO graphic standards to read and create two-dimensional layouts with general dimensions and tolerances
    • Understand and be able to use projective spatial graphics
    • Understand and be able to use standard sectioning conventions for shape and detail definition
    • Have the ability to use AutoCAD to produce two-dimensional drawings

    Prerequisites by Topic
    • None  

    Course Topics
    • Scales and required equipment (2 classes)
    • Sketching and visualization (5 classes)
    • Projection theory, reference planes and auxiliary views (5 classes)
    • Sections (4 classes)
    • Dimensioning and tolerancing (5 classes)
    • CAD (16 classes)
    • Evaluations (3 classes)

    Laboratory Topics
    • Problems for each of the topics from the book, workbook or handouts
    • Creation of two-dimensional drawings utilizing AutoCAD

    Coordinator
    Marvin Bollman
  
  • EG 125 - CAD Graphics II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is a study of applications and various aspects of spatial projective geometry. Topics include specifications of lines and planes, parallelism, perpendicularity, connectors, rotation, intersections and CAD. (prereq: EG 124 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Develop within the student a process of logical reasoning and visualization
    • Apply projective geometry knowledge to the solution of problems both manually and on the computer
    • Acquaint the student with spatial relationships of perpendicularity, clearance distance, parallelism, piercing points, intersections and spatial vector analysis

    Prerequisites by Topic
    • None 

    Course Topics
    • No course topics appended

    Coordinator
    Marvin Bollman
  
  • EG 1260 - Engineering Graphics-Visualization

    0 lecture hours 2 lab hours 1 credits
    Course Description
    The visualization course investigates both theory and application of visual images for analysis and communication of physical and conceptual ideas, concepts and products. Topics to be covered include sketching, spatial relationships, seeing, and communicating with imagery. Orthographic projection, layout, section and dimensioning standards will also be discussed. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Develop a process of logical visual thinking
    • Develop an awareness of how they see the world around them and how it may differ from what others see
    • Develop an awareness of visual stereotypes that can block their seeing
    • Develop an awareness of details
    • Develop an ability to utilize a variety of drawing and sketching techniques
    • Develop an ability to utilize standard drawing conventions and techniques in the communication of technical data
    • Develop the ability to create and utilize symbols for diagrammatic representation of information
    • Develop an acknowledgment of standards
    • Develop an ability to understand technical drawings and their standard representation

    Prerequisites by Topic
    • None 

    Course Topics
    • Materials and environment
    • Seeing shapes, forms, structure, proportions, tone, texture, and detail
    • Basic sketch techniques
    • Isometrics and oblique pictorials
    • Transformations of 3-D objects
    • Axis system
    • Orthographic views
    • Sections

    Coordinator
    Marvin Bollman

English

  
  • EN 131 - Composition

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course assumes competence at the high school level in writing coherent, effective, well organized, and grammatically correct texts. The objective of EN 131 Composition is to help students refine their strategies for communicating ideas clearly and to deepen students’ understanding of how they must adapt these strategies to fit changing rhetorical contexts and multiple audiences. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the principles and techniques of writing unified, coherent, emphatic, and well-organized essays
    • Use basic grammar, punctuation, sentence structure, and paragraph development in an appropriate manner
    • Be familiar with the basic tools of library research
    • Write essays which include the essential parts: introduction, body, and conclusion
    • Understand and use revising and editing techniques
    • Use good pre-writing strategies when planning and composing essays
    • Be familiar with writing audience-based essays
    • Understand the need to assume a persona when writing

    Prerequisites by Topic
    • None

    Course Topics
    • Principles and techniques of essay writing (8 classes)
    • Pre-writing and editing strategies (2 classes)
    • Library research (1 class)
    • Evaluation, documentation, and incorporation of sources (4 classes)
    • Peer evaluation and writing workshops (4 classes)
    • Impromptu, in-class writing and journaling (1 class)
    • Analysis of composition strategies and discussion of content in written and visual texts (10 classes)

    Coordinator
    Jennifer Farrell
  
  • EN 131E - Composition

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course assumes competence at the high school level in writing coherent, effective, well organized, and grammatically correct texts. The objective of EN 131 Composition is help students refine their strategies for communicating ideas clearly and to deepen students’ understanding of how they must adapt these strategies to fit changing rhetorical contexts and multiple audiences. The ‘E’ Designation signifies a section that offers additional language support for English language learners. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • No course learning outcomes appended

    Prerequisites by Topic
    • None 

    Course Topics
    • No course topics appended

    Coordinator
    Jennifer Farrell
  
  • EN 132 - Technical Composition

    3 lecture hours 0 lab hours 3 credits
    Course Description
    The purpose of this course is to acquaint students with the principles of effective, audience-centered technical communication and provide them with practice in writing letters, memoranda, proposals, and an informal and formal report. The course also requires students to become familiar with accepted research techniques and to apply them in a written formal report and in an oral presentation. Students also learn the principles of graphical design and the importance of visual representation in technical communication, both oral and written, and students are expected to incorporate appropriate graphics into their written and oral communication. Finally, students are taught how to organize and present technical material orally in an effective manner. (prereq: EN 131 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Know and apply the principles of effective technical communication
    • Know the visual techniques which make written and oral technical communication more effective and be able to use them appropriately when drafting technical documents and giving oral presentations
    • Know the various formats used in technical communication (e.g., reports, proposals, letters, and memos) and be able to construct each and use each appropriately
    • Know the appropriate content of and be able to construct clear, effective introductions, conclusions, recommendations, and summaries/abstracts
    • Explain the importance of audience in technical communication and how to use appropriate tone, diction, sentence structure, format, and organization in order to positively affect an audience’s receptivity of a message
    • Research a topic using library, Internet, community, and human resources
    • Know and apply the principles of documentation when using research in technical documents
    • Know and apply the principles of good oral communication when giving technical presentations
    • Understand that technical communicators have ethical responsibilities when writing and speaking and uphold these responsibilities
    • Understand cultural differences when communicating with those of other cultures and be sensitive to such differences in one’s audience

    Prerequisites by Topic
    • Background in basic composition
    • Paragraph and essay structure
    • Outlining and organizing skills
    • Revising, editing and proofreading skills
    • College-level vocabulary
    • Basic computer and library research skills

    Course Topics
    • Styles and techniques of technical writings (4 classes)
    • Formal and informal reports (4 classes)
    • Proposal writing (1 class)
    • Article writing and publishing or employment correspondence (3 classes)
    • Preparation and use of visual materials in oral and written communication (2 classes)
    • Internal and external business correspondence (3 classes)
    • Principles of organizing, editing, and revising (1 class)
    • Research and documentation principles (2 classes)
    • Ethical considerations in technical communication (1 class)
    • Formal oral presentations (5 classes)
    • Intercultural communication (1 class)
    • Effective speaking skills (2 classes)
    • Audience analysis (1 class)

    Coordinator
    R. David Kent
  
  • EN 241 - Speech

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The aim of this course is to develop effective public speaking skills, gain confidence and poise, and understand the basics of speech communication. The assignments afford practice in various public speaking situations similar to those which graduates will encounter in their careers. Typical assignments require the student to explain, describe, persuade, or discuss in a group. Time is taken to develop the self-awareness of the student and his/her consciousness of the reactions of his/her audience. (prereq: EN 131 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the fundamentals involved in outlining, organizing, and preparing speeches
    • Apply appropriate methods of delivery in various speaking situations
    • Be aware of the basic elements of audience analysis, speech evaluation, and library research involved in speech making
    • Be aware of the importance of building credibility and using evidence and appropriate appeals in speech communication

    Prerequisites by Topic
    • Knowledge of basic English and writing
    • Patterns of organization and structure
    • Audience analysis
    • College-level vocabulary

    Course Topics
    • Basics of speech communication (7 classes)
    • Speech organization and composition (6 classes)
    • Audience analysis and evaluation skill (3 classes)
    • Delivery and use of visual aids (5 classes)
    • Listening skills (4 classes)
    • Persuasive speaking (4 classes)
    • Informative speaking (4 classes)
    • Group discussion (3 classes)

    Coordinator
    James Friauf
  
  • EN 342 - Group Discussion

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Through this course, it is intended that the student will learn the theories, principles and dynamics of group interaction and through practice will learn the skills essential for both leading and participating in small group discussion. Students can not earn credit for both EN 342 and SS 4670 . (prereq: EN 241 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Define small group communication
    • Discuss the general theories that apply to small group communication
    • Identify the major components of small group communication
    • Identify the task, maintenance, and individual roles that group members assume
    • Identify the behaviors that contribute to a defensive or supportive climate
    • Explain why nonverbal communication is important to group communication
    • Differentiate between group problem-solving and group decision-making
    • Formulate a question of fact, value, or policy for a problem-solving discussion
    • Apply problem-solving techniques to solve a problem
    • Explain why conflict occurs in groups
    • Identify strategies for managing different types of conflict
    • Describe three styles of leadership

    Prerequisites by Topic
    • None 

    Course Topics
    • Course introduction (1 class)
    • Understanding small groups (2 classes)
    • Small group communication (2 classes)
    • The group formation process (2 classes)
    • Relating to others in groups (2 classes)
    • Improving group climate (2 classes)
    • Nonverbal group dynamics (1 class)
    • Decision-making and problem-solving in groups (2 classes)
    • Small group problem-solving techniques (2 classes)
    • Defining conflict in small groups (2 classes)
    • Conflict resolutions (2 classes)
    • Making effective choices as a participant (2 classes)
    • Making effective choices as a leader (2 classes)
    • Observing and evaluating group communication (1 class)
    • Presentational speaking (2 classes)
    • Group Project Work (2 classes)
    • Group Presentations (2 classes)

    Coordinator
    James Friauf
  
  • EN 432 - Business Communication

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Effective communication is key to building strong business relationships and managing high-stake events. Business communication is “transactional”: its main purpose is to move business activity forward. In this course, students study and apply rhetorical principles that get results in a business environment. Topics include creating more influential web content, maximizing the potential of social media, developing crisis communication tools, proposal/grant writing, and customizing project communications to the individual needs of multiple internal and external audiences. Students will work with a non-profit organization to seek out funding opportunities and then prepare a persuasive proposal meeting the needs of both grant seeker and funding source. (prereq: EN 241 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand the principles and theories involved in constructing business correspondence in different media
    • Design, research, and write an effective business correspondence
    • Demonstrate competency in oral and interpersonal communication including one-on-one, communication, small-group communication, and professional communication
    • Demonstrate understanding of legal and ethical issues confronting business communicators

    Prerequisites by Topic
    • None

    Course Topics
    • The basics of business communication: audience analysis, style, tone, sentence structure, usage, etiquette, and ethics (4 classes)
    • Communication in the workplace: written and electronic channels; positive, negative, and persuasive messages (6 classes)
    • Business correspondence genres and formats: memos, letters, reports, proposals, etc. (6 classes)
    • Interpersonal and group communication, meetings, and speaking (6 classes)
    • Employment communication: job search, professional profiles for social-networking websites, resumes, cover letters, and interviews (6 classes)

    Coordinator
    Katherine Wikoff
  
  • EN 441 - Professional Presentation Techniques

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The purpose of this course is to develop effective presentation skills, to learn to incorporate graphics into presentations, to understand the basics of communication skills in professional settings, and to appreciate the role of the team in preparing a formal presentation. The assignments reflect experiences which will be encountered by graduates in their careers. Typical assignments include group presentations, presentation graphics, and presentation reviews. (prereq: EN 241 , must be an AE student to enroll) (coreq: AE 4311 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the principles of effective communication in professionally focused presentations
    • Analyze and evaluate supporting material and organize this content for informative and persuasive oral presentations
    • Analyze situational,contextual, and audience characteristics and apply this analysis to the development of professional presentations
    • Demonstrate knowledge of the principles of effective graphic aids and apply these principles to professional presentations
    • Analyze individual strengths of team members
    • Evaluate individual strengths of team members
    • Apply this analysis and evaluation toward working as a team in preparing and presenting a formal professional presentation
    • Understand (comprehend) the importance of verbal and non-verbal communication variables and apply this to concisely, coherently, and persuasively presenting his/her ideas

    Prerequisites by Topic
    • Speaking in public
    • Listening
    • Topic selection/purpose
    • Audience analysis
    • Supporting your ideas
    • Organization of a speech
    • Outlining
    • Introducing and concluding a speech
    • Using language
    • Delivery
    • Using visual aids
    • Types of speeches - informative, persuasive
    • Speaking in small groups

    Course Topics
    • Course introduction (1 class)
    • Defining communication (1 class)
    • Presentation speaking (2 classes)
    • Organization (2 classes)
    • Audience analysis (2 classes)
    • Credibility (2 classes)
    • Non-verbal communication (2 classes)
    • Demonstration speech (4 classes)
    • Graphic techniques (4 classes)
    • Model-building techniques
    • Graphic problem (2 classes)
    • Group presentations/Group dynamics (4 classes)
    • Selling the concept (4 classes)
    • Physical procedures (2 classes)
    • Office rehearsals (2 classes)
    • Presentations (4 classes)

    Coordinator
    James Friauf

Engineering Technology

  
  • ET 351 - Survey of Communication Circuits

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Data communications is very significant in today’s world. It is used in most aspects of everyday life. Business, industry, education and homes all rely on the communication of information. This course is focused on fundamental concepts and practical applications, and prepares students to make intelligent decisions on the appropriate design, purchase, integration, and use of data communications equipment and systems. Required aspects of data communications are discussed, including relevant terminology, concepts, hardware, software, protocols, architectures, and current and future products. This course is not intended for the electrical engineering technology major. This course is not intended for the electrical engineering technology major. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain and identify the role of standards and standards organizations in the data communications marketplace

    Prerequisites by Topic
    • None

    Course Topics
    • No course topics appended

    Coordinator
    Edward Chandler
  
  • ET 499 - Independent Study

    1 lecture hours 0 lab hours 3 credits
    Course Description
    Independent investigation into a topic is encouraged under the direction of an MSOE faculty member. The pursuit of the independent study must conform to MSOE ET 499 guidelines. (prereq: courses appropriate to the selected topic, consent of an independent study advisor, the EET program director and department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determined by topic

    Prerequisites by Topic
    • Determined by topic

    Course Topics
    • Determined by topic

    Coordinator
    Robert Strangeway
  
  • ET 1520 - Electric Circuits

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course is an introduction to the fundamental concepts and laws of electric circuits and their application to DC and AC circuit analysis. Topics covered include Ohm’s law, Kirchhoff’s laws, capacitance, magnetism, inductance, series-parallel circuits, single- and three-phase AC circuits, transformers, and electric power. Phasors and complex numbers are utilized in AC analysis. The laboratory is used to illustrate electric circuit concepts and electric circuit measurement techniques. Note: this course is not intended for the electrical engineering technology major. This course is not intended for the electrical engineering technology major. (prereq: PH 123 , MA 126 , MA 127 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the fundamental quantities in electric circuits and the appropriate relationships between them: energy, power, voltage, current, resistance, capacitance, and inductance
    • Analyze steady-state series-parallel DC electric circuits and AC series and parallel circuits
    • Describe the properties of inductors and capacitors, describe the transient response of DC-switched series RL and RC circuits, and describe the phase shift response in AC series and parallel RL and RC circuits
    • Determine real, reactive, and complex power in series AC circuits
    • Describe the concept of a Thevenin equivalent circuit
    • Describe the properties and benefits of using ideal transformers and of using balanced three-phase circuits
    • Analyze AC circuits with ideal transformers and balanced three-phase circuits
    • Make electrical measurements through laboratory work using DMM, oscilloscope, power meter, and LC meter
    • Demonstrate engineering notebook writing skills

    Prerequisites by Topic
    • College algebra (MA 127  prerequisite)
    • Trigonometry (MA 126   prerequisite)
    • Electricity, electric fields, and magnetic fields (PH 123  prerequisite)

    Course Topics
    • Introduction to electricity, energy, power, voltage, current, resistance, and Ohm’s law (3 classes)
    • Kirchhoff’s laws, series, parallel, and series-parallel DC circuits (4 classes)
    • AC signals, mathematical expressions, and AC resistive circuit analysis (2 classes)
    • Capacitance, inductance, and simple transient and steady state responses (4 classes)
    • Complex numbers, phasors, reactance, impedance, and series and parallel AC circuits (4 classes, 1 hr. lab)
    • Complex power in series AC circuits (1 class, 1 hr. lab)
    • Thevenin equivalent circuit (2 classes)
    • Ideal transformers (1 class)
    • Delta-wye circuits and conversions, balanced three-phase circuits (2 classes)
    • Tests and homework days (includes final exam) (8 classes)

    Laboratory Topics
    • Introduction to the electrical laboratory, electrical laboratory safety, and engineering notebooks (1 session)
    • Introduction to electrical circuit measurement instruments (1 session)
    • Resistance of Resistors and Series DC Circuits (1 session)
    • Parallel and Series-Parallel DC Circuits (1 session)
    • AC Signals, Operation of the Arbitrary Waveform Generator and the Digital Oscilloscope (1 session)
    • Capacitors and Inductors in DC and AC Circuits (1 session)
    • Series and Parallel AC Circuits (1 session)
    • AC Power Measurements, including use of modern power meters (1 session)

    Coordinator
    Robert Strangeway
  
  • ET 2550 - Electronics

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is a survey of semiconductor principles, discrete semiconductor devices, linear and digital integrated circuits, and transducers. These devices are applied to the concepts and properties of electronic circuits such as power supplies, linear amplifiers, active filters, oscillators, nonlinear circuits, and interfacing. The laboratory is used to illustrate electronic devices, applications, and measurement techniques. Note: this course is not intended for the electrical engineering technology major. This course is not intended for the electrical engineering technology major. (prereq: ET 1520 , MA 128 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design basic diode circuits
    • Understand switching mode BJT circuits
    • Design basic operational amplifier circuits
    • Understand basic oscillator circuits
    • Understand basic 555 timer circuits

    Prerequisites by Topic
    • Electric Circuits (ET 1520   prerequisite).
    • Analytic Geometry and Calculus I (MA 128  prerequisite).

    Course Topics
    • Diodes, Rectifiers, Half-Wave Rectifiers, Bridge Rectifiers, Ripple Voltage, Ripple Frequency (2 classes)
    • Zener Diodes and their Power supply applications (2 classes)
    • Bipolar Transistors as switches, applications of logic gates (1 class)
    • Bipolar Transistors as amplifiers, Common Emitter circuit (2 classes)
    • Ideal OpAmps (2 classes)
    • Power supply using OpAmps (1 class)
    • Active Filters (1 class)
    • Oscillators, 555-timer (2 classes)
    • Sensor interfacing, Wheatstone bridge, instrumentation amplifier (2 classes)
    • Tests and homework days, including final exam) (7 classes)

    Laboratory Topics
    • Half-wave-full-wave, bridge rectifiers (1 session)
    • Zener diodes and their power supply application (1 session)
    • Bipolar transistors as switches (1 session)
    • Bipolar transistors as amplifiers (1 session)
    • Ideal OPAmp as non-inverting and inverting amplifier (1 session)
    • Voltage regulator using OPAmp (1 session)
    • Filters using OPAmps (1 session)
    • Oscillators (1 session)
    • Sensor interfacing (1 session)

    Coordinator
    Robert Strangeway
  
  • ET 3001 - Transient Circuit Analysis

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The analysis of electric circuits in both the time domain and the Laplace transform domain is covered in this course. The circuit responses to a variety of waveforms, including step, ramp, sinusoid, switched, exponential, and impulse functions, are analyzed. Time domain differential equations and Laplace transforms are emphasized as circuit analysis techniques. The student will also learn to design circuits and experiments that will illustrate the concepts introduced in this course. (prereq: ET 3051 , MA 227 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Mathematically express ramp, sinusoid, switched, exponential, impulse, and other functions in preparation for the analysis of electrical networks
    • Perform graphical and analytic differentiation and integration of waveforms
    • Utilize differential equations to determine the steady-state and transient time domain solution of simple RC, RL, and RLC networks
    • Evaluate Laplace and inverse Laplace transforms using tables, partial fraction expansion, and software
    • Utilize Laplace transforms in the solution of RLC circuits with initial conditions
    • Describe circuit behavior from a knowledge of the poles of the transfer function, including the relationship between frequency and time domain responses
    • Design and perform laboratory experiments that utilize advanced circuit analysis concepts

    Prerequisites by Topic
    • Steady state DC, AC, and periodic signal circuit analysis
    • Frequency response analysis, transfer functions, and Bode plots
    • Calculus
    • Differential equations

    Course Topics
    • Course introduction, mathematical expression of waveforms (6 classes)
    • Time domain behavior of components, and solution of simple RL, RC, and RLC circuits in the time domain using differential equations (5 classes)
    • Laplace transform basics and mechanics (6 classes)
    • Circuit analysis using Laplace transforms (4 classes)
    • Exams and homework (10 classes)

    Laboratory Topics
    • Laboratory introduction
    • Differentiation and integration of waveforms
    • First-order transient circuit analysis
    • First-order circuit design
    • Signal generation and conversion (two-week experiment)
    • Introduction to MATLAB
    • Second-order circuit design (two-week experiment)

    Coordinator
    Edward Chandler
  
  • ET 3051 - Signals, Circuits, and Systems I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The theory and circuit applications of periodic signals are covered in this course. The power in a circuit with multiple frequencies is investigated initially. This discussion leads to the determination of the rectangular and polar forms of the Fourier series for periodic signals and the analysis of circuits with periodic signal inputs. The spectra of periodic signals are constructed from the Fourier series. Periodic signals are analyzed in circuits, filters and systems. Applications such as signal distortion and harmonic generation are covered. Laboratory experiments will reinforce the concepts presented. (prereq: full admission into the BS-EET program or consent of EET program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the power and effective value of sinusoidal signals in a circuit with multiple AC sources, whether of the same or different frequencies
    • Determine the average and effective values of periodic waveforms
    • Determine and describe the trigonometric, cosine, and sine forms of the Fourier series for periodic signals
    • Determine the response of linear circuits and systems to periodic signal inputs
    • Identify signal distortion when present
    • Determine the spectra of periodic signals

    Prerequisites by Topic
    • DC and AC steady state circuit analysis: series-parallel circuit analysis, complex power, and superposition
    • Transfer functions and Bode plots of first order circuits
    • Differential and integral calculus
    • Calculations and plotting in spreadsheets
    • Circuit simulation software usage

    Course Topics
    • Course introduction and orientation (1 class, usually 2 lecture classes of the first week are lost due to the Labor Day holiday)
    • Electrical power of multiple sinusoidal signals, average values, and effective values ( 5 classes)
    • Periodic signal representation with the magnitude/phase and the trigonometric Fourier series forms, spectra, and circuit analysis (5 classes)
    • Trigonometric Fourier series coefficients development ( 5 classes)
    • Distortion (1 class)
    • Exams and homework days, including final exam (12 classes)

    Laboratory Topics
    • Introduction, PC and software orientation, electronic instruments, safety (2 sessions)
    • MathCAD tutorial (1 session)
    • Complex power, average power, and effective values (DMM, handheld power meter) (1 session)
    • Response of first order circuits (digital oscilloscope with FFT module, arbitrary waveform generator) ( 2 sessions)
    • Spectra measurements (digital oscilloscope with FFT module, arbitrary waveform generator). Overlap with previous topic (4 sessions)
    • Harmonic distortion (digital oscilloscope with FFT module, arbitrary waveform generator) (1 session)

    Coordinator
    Robert Strangeway
  
  • ET 3060 - Signals, Circuits, and Systems II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    Electronic signals and noise, especially in the frequency domain, and the corresponding system responses are examined in this course. Topics include the Fourier transform, the exponential Fourier series, and spectral densities of signals including noise. A significant portion of this course examines digital signals, sampling, A/D and D/A converters, and an introduction to digital signal processing using the Z-transform. Practical applications are discussed throughout the course. (prereq: ET 3001 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the Fourier transform of deterministic engineering signals.
    • Interpret the spectral density function of a signal
    • Calculate thermal noise power
    • Make calculations on sampling rate, aliasing error and quantizing error associated with analog signal processing in digital systems
    • Determine the z-transform of discrete-time signals
    • Determine the frequency response of simple digital filters
    • Determine the spectrum of a discrete-time signal using the Discrete Fourier Transform

    Prerequisites by Topic
    • Fourier series
    • Transfer function, frequency response, Bode plots
    • Calculus

    Course Topics
    • The Fourier transform and its application in system analysis (3 hours)
    • Spectral densities of signals including noise (2 hours)
    • Signal sampling, quantization, signal recovery, aliasing (5 hours)
    • The Discrete Fourier Transform (DFT) and example signal spectra (3 hours)
    • Discrete-time signals and systems, digital FIR filters, example filter responses (4 hours)
    • The z-transform and its application in system analysis, digital filter transfer functions (7 hours)
    • Examinations and homework sessions (13 hours)
    • The exponential Fourier series (4 hours)

    Coordinator
    Edward Chandler
  
  • ET 3100 - Electronic Circuit Design

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course provides an introduction to electronic circuit design. The student applies fundamental electronic circuit concepts to laboratory design projects utilizing discrete semiconductor devices and analog integrated circuits. Design activity focuses on linear power supplies, switching mode power supplies, sinusoidal oscillators and active filters. Circuit simulation software is utilized as an integral part of the design process. (prereq: ET 3001 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Implement the design process in the realization of electronic circuits
    • Use the information on data sheets provided by a component manufacturer in the design of electronic systems
    • Use computer simulation as a tool in the design process
    • Design linear power supplies, switch-mode power supplies, active filters and sinusoidal oscillators

    Prerequisites by Topic
    • Basic applications of discrete BJT’s and FET’s
    • Basic applications of operational amplifiers
    • Multisim
    • Laplace Transforms
    • Frequency response

    Course Topics
    • Unregulated dc power supplies (3 classes)
    • Linear power supplies (9 classes)
    • Switch-mode power supplies (6 classes)
    • Oscillators. (6 classes)
    • Filters (3 classes)
    • Power inverter (3 classes)

    Laboratory Topics
    • Analysis and testing of an unregulated dc power supply
    • Design and simulation of a zener regulated power supply
    • Design and simulation of an op-amp regulated power supply based on the LM723
    • Design and implementation of a switch-mode power supply based on the LM2575
    • Design and implementation of a crystal oscillator
    • Design and implementation of a switched capacitor filter
    • Design and implementation of a power inverter

    Coordinator
    Robert Strangeway
  
  • ET 3202 - Electromagnetic Field Concepts

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The fundamental concepts of electrostatics and magnetostatics are presented in this course. Vector tools are further developed and used to strengthen the understanding of the physical properties of static electric and magnetic fields. Vector algebra in three-dimensional rectangular, cylindrical and spherical coordinate systems is initially covered. Subsequently, electrostatic and magnetostatic field topics, such as Coulomb’s law, Biot-Savart law, Gauss’s law, and electric and magnetic flux are examined and also related to circuit concepts. (prereq: MA 226  or equivalent, MT 4502  or equivalent, MA 226  or full admission into the BS-EET program or permission of an EET program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply vector algebra and calculus analysis techniques to the solution of electromagnetic problems in Cartesian, cylindrical, and spherical coordinates
    • Determine the electrostatic field produced by idealized charge distributions using Coulomb’s law and Gauss’s law
    • Determine the magnetostatic field produced by idealized current distributions using the Biot-Savart law
    • State the equations and describe the relationships between charge, electrostatic field intensity, and electric flux and flux density
    • State the equations and describe the relationships between current, magnetostatic field intensity, and magnetic flux and flux density

    Prerequisites by Topic
    • Circuits knowledge of electric and magnetic fields
    • Surface descriptions in three dimensions, calculus through multiple integrals
    • Vectors, unit vectors, and vector algebra in two-dimensional Cartesian and polar coordinate systems
    • Experience at visualizing and sketching in three dimensions

    Course Topics
    • Course introduction, non-Cartesian coordinate systems, and vector algebra review (11 classes)
    • Electric charge, electric fields, electric field intensity, Coulomb’s law (6 classes)
    • Current density, magnetic fields, magnetic field intensity, Biot-Savart law (4 classes)
    • Electric and magnetic flux, Gauss’s law concept, chage enclosed and flux calculations (4 classes)
    • Homework and exam sessions (including final exam) (17 classes)

    Coordinator
    Robert Strangeway
  
  • ET 3900 - Design of Logic Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The design, analysis and typical applications of logic elements and systems are studied in this course. The course begins with a brief review of combinational and sequential logic circuits. A variety of representations of digital systems are covered including state diagrams, algorithmic state machine (ASM) charts, and a hardware description language. The lectures present the theory of logic design and the laboratory provides projects for the student to apply the theory. Designs will be tested using simulation and implemented using programmable logic devices (PLDs) or field programmable gate arrays (FPGAs). (prereq: full admission into the BS-EET program or permission of an EET program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Model digital systems using Boolean function, truth tables, Karnaugh Maps, and Hardware Description Language
    • Design a combinational digital subsystem using VHDL and verify the correct operation through simulation and/or implementation
    • Design, simulate and/or implement sequential circuits using various representation such as state diagrams, ASM charts, and hardware description language, specifically VHDL
    • Describe the design and verification process through written communication in the form of laboratory reports
    • Use state-of-the art design and development tools for Digital Systems

    Prerequisites by Topic
    • Basic Boolean Algebra
    • Analysis of Combinational and Sequential Circuits
    • Use of Karnaugh Map as a minimization tool

    Course Topics
    • Sequential Circuits and bi-stable memory elements (2 classes)
    • Counters and Registers (2 classes)
    • Synchronous State Machines representation and Design (6 classes)
    • Introduction to Asynchronous Sequential Circuits (3 classes)
    • Exams (4 classes)
    • Review (2 classes)
    • Design of Combinational Circuits (3 classes)
    • Review of number systems & conversion (binary, decimal, hexadecimal) (1 class)
    • Review the combinational logic representation, minimization and design process (5 classes)
    • Counters and Registers (1 class)
    • Synchronous State Machines representation and Design (10 classes)
    • State diagram and ASM diagram (1 class)
    • Time response of Sequential Circuits (1 class)

    Coordinator
    Hue Tran
  
  • ET 3910 - Embedded Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    In this course students develop the understanding of microprocessor based systems with specific focus on an embedded system architecture, the ability to develop and implement real-time applications using interrupts, and the ability to interface external devices to the system. High level programming language will be used for programming purposes. Laboratory sessions will be used to enhance lecture topics. (prereq: full admission into the BS-EET program or consent of an EET program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand all the components required and architecture of an embedded system
    • Design programs using a high-level language for programming the microcontroller
    • Compile, download, debug, and execute programs in the microcontroller
    • Describe and interpret timing diagrams
    • Use interrupt vectors and external interrupts to control the system and process
    • Use USART, SPI and/or I2C interfaces to communicate with external devices
    • Interface external devices to microcontroller

    Prerequisites by Topic
    • College algebra
    • Trigonometry
    • Programming Knowledge
    • Digital Logic

    Course Topics
    • Introduction (1 class)
    • Review for final examination (1 class)
    • Exams, examples and homework discussion days (8 classes)
    • Lecture sessions (20 classes)

    Coordinator
    Hue Tran
  
  • ET 4021 - Senior Project I

    0 lecture hours 2 lab hours 1 credits
    Course Description
    This is the first course in the three-course senior project sequence, ET 4021, ET 4022 , and ET 4023 , which is required for the BS-EET degree. Students form three- or four-person teams and define a technological problem. Detailed problem specifications are formed. Each project team develops a formal project proposal and delivers a formal presentation. Each student maintains a bounded engineering log notebook. (prereq: senior standing) (coreq: MS 4801 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Define the difference between problem specifications and problem solutions
    • Form a team to define an open ended problem
    • Write a clear and concise problem statement
    • Define detailed project specifications
    • Make an oral project proposal presentation to an audience

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to capstone project sequence and requirements (1 week)
    • Team formation and team dynamics ( 1 week)
    • Problems specifications versus solutions (1 week)
    • Vertical and Horizontal Integration (1 week)
    • Build versus Buy Decisions (1 week)
    • Problem Statements (1 week)
    • Problem Specifications (1 week)
    • Technical Presentations - Do’s and Don’ts (1 week)
    • Project Proposal Presentation (2 weeks)

    Coordinator
    Robert Strangeway
  
  • ET 4022 - Senior Project II

    0 lecture hours 2 lab hours 1 credits
    Course Description
    This is the second course in the three-course senior project sequence, ET 4021 , ET 4022, and ET 4023 , which is required for the BS-EET degree. Alternative solutions are generated. The solutions are analyzed and evaluated to determine the most feasible approach. A formal project plan is prepared including the identification of resource requirements, project plan, and high level block/system diagram. Feedback to the plan is provided and any necessary revisions are made. Initial project implementation is started. Each team writes a project report and delivers a progress presentation. (prereq: ET 4021 , MS 4801 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • List the different types of feasibilities that apply to a technical project
    • Generate high level solutions based on the project problem specifications
    • Analyze and select a solution based on a set of possible options
    • Identify resource requirements and resource constraints for a given solution
    • Develop a project plan

    Prerequisites by Topic
    • None

    Course Topics
    • Solving problems (1 week)
    • Feasibility Analysis (2 weeks)
    • Decision analysis and decision matrices (1 week)
    • Other topics TBD based on project proposals (5 weeks)
    • Project Plan Presentation (2 weeks)

    Coordinator
    Robert Strangeway
  
  • ET 4023 - Senior Project III

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is the third course in the three-course senior project sequence, ET 4021 , ET 4022  , and ET 4023, which is required for the BS-EET degree. The project plan is implemented, tested, and completely documented in this final course of the senior project sequence. Each student will be involved with demonstrating the completed project, submitting a final formal written report, and delivering an oral presentation of the project. Some lecture time may be used to provide additional pertinent information in the project areas. Each student maintains a bound engineering log notebook. (prereq: ET 4022 , MS 4801 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Work as an integral part of a project team that will implement, prototype, and test a project solution
    • Utilize laboratory instrumentation for debugging and testing the prototype solution
    • Prepare a compliance test plan and conduct the compliance test to demonstrate functionality
    • Prepare a complete project report documenting the problem, project, prototype solution, and testing
    • Present the project results to faculty and peers in a formal setting and at a trade show setting

    Prerequisites by Topic
    • None

    Course Topics
    • Topics to be determined by project areas

    Coordinator
    Robert Strangeway
  
  • ET 4250 - Electromagnetic Field Applications

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course is a continuation of ET 3201  and ET 4261 . Electrostatic and magnetostatic fields are extended to potentials, time-dependent electromagnetic fields, and Maxwell’s equations through the concepts of Faraday’s law and displacement current. Several application topics are covered in both the lecture and laboratory, including magnetic circuits, mutual inductors, antenna radiation and links, and an introduction to electromagnetic interference (EMI) and signal integrity. (prereq: ET 3060 , ET 4261 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine potential difference from electric field intensity, especially in capacitance calculations
    • Determine the magnetic field intensity for idealized current distribution using Ampere’s Circuital law
    • Determine the current for a desired flux value in a series magnetic circuit with or without an air gap
    • Determine inductance and impedance in mutual inductor circuits
    • Describe the meaning of each term in Maxwell’s equation in integral form
    • Calculate power and power density of electromagnetic plane waves
    • Determine losses and power levels in antenna links
    • Describe the basic principles of signal integrity (SI) and electromagnetic interference (EMI)

    Prerequisites by Topic
    • Electrostatics and magnetostatics
    • Transmission lines
    • Fourier domain concepts

    Course Topics
    • Course introduction, electrical potential, dielectrics, and capacitance (6 classes)
    • Ampere’s Circuital law, magnetics concepts and circuits and inductance (4 classes, 1 lab section)
    • Faraday’s law, mutual inductors, displacement current, capacitive and inductive coupling, time-varying Maxwell’s equations (4 classes)
    • Plane wave propagation, power density and power (3 classes)
    • Antennas and links (3 classes)
    • Signal integrity/EMI topics (1 class)
    • Homework and exam sessions (including final exam) (10 classes)

    Laboratory Topics
    • Gauss’s law and Capacitance (lecture, experiment, and simulation) (3 sessions)
    • Magnetic Circuits (lecture, simulation, and experiment) (3 sessions)
    • Mutual Inductor (1 session)
    • Electrostatic and Magnetostatic coupling (1 session)
    • Antenna Link (1 session)
    • EMI measurements (1 session)

    Coordinator
    Robert Strangeway
  
  • ET 4261 - Transmission Lines

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The course begins with a study of step and pulse transients on a lossless transmission line to illustrate the position dependency, characteristic impedance, and reflection concepts of transmission lines. Transmission line theory and the Smith Chart are utilized for AC sinusoidal steady-state transmission line calculations. Scattering(s) parameters are introduced as high frequency two-port parameters and specifications. Various RF/microwave components are examined. In the laboratory sessions, high-frequency measurement techniques and topics are covered. (prereq: ET 3201  or ET 3202 , ET 3001 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain why traveling waves, reflections, and standing waves occur and why they are significant in circuits and transmission structures
    • Solve high frequency problems using transmission line theory, the Smith Chart, and scattering parameters
    • Identify and utilize various transmission line components, especially in laboratory measurements
    • Determine the first-order system performance based on specifications and s-parameters of RF components

    Prerequisites by Topic
    • Basic communication concepts
    • Elementary electromagnetic field concepts
    • Circuits through time domain analysis
    • Calculus and differential equations

    Course Topics
    • Introductory concepts and DC steps and pulses on transmission lines (6 classes)
    • AC sinusoidal steady state transmission line theory and practice (7 classes)
    • Smith Charts (3 classes)
    • Scattering parameters, components, and first-order system performance (6 classes)
    • Homework and exam sessions (including final exam) (9 classes)

    Laboratory Topics
    • Basic high frequency measurements (power, frequency, attenuation, VSWR, return loss, coupling, and directivity) (4 sessions)
    • Spectrum and frequency swept measurements of microwave components (2 sessions)
    • Simulation and measurement of scattering parameters using a vector network analyzer (3 sessions)
    • Open laboratory session (2 sessions)

    Coordinator
    Robert Strangeway
  
  • ET 4410 - Power and Energy Conversion

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This EET technical elective course provides an introduction to the principles of electro-mechanical energy conversion devices and systems. Topics include magnetic materials and circuits, transformers, three-phase induction machines, introduction to power electronics and electric drives, power quality considerations and alternative energy conversion systems. Presentations of these topics will be supplemented with contemporary topics in power systems and/or electro-mechanical energy conversion. (prereq: ET 3060 , ET 3100 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Analyze single phase circuits
    • Measure complex power flow in single phase and three phase circuits
    • Explain what is meant by harmonic component of current and voltage and why harmonic currents are serious power quality problem
    • Analyze magnetic circuits
    • Explain the relationship between voltage, current, power and magnetic field in a transformer
    • Perform short-circuit and open-circuit tests on a transformer and determine parameters of the equivalent circuit
    • Know the basic construction features of three-phase induction machines
    • Analyze the steady state performance of a three-phase induction motor and discuss the operating modes of an induction machine
    • Understand the basic methods of starting and speed control of induction motor
    • Explain the various types of power conversion and the devices used in power conversion
    • Discuss the role of the induction generator in alternative energy conversion systems

    Prerequisites by Topic
    • Magnetic principles
    • Fourier series
    • Electronic Circuit Design

    Course Topics
    • Introduction (1 day)
    • Single-Phase and Three-Phase AC Circuits (1 day)
    • Power Quality: Harmonics and Disturbances (2 days)
    • Magnetic materials and circuits (1 day)
    • Principles of operation, construction, equivalent circuits, and determination of parameters for transformers (2 days)
    • Introduction to Motors and Generators (1 day)
    • Construction, characteristics, speed control and equivalent circuits of three-phase induction machines (4 days)
    • Power electronic switching devices (1 day)
    • Power conversion systems (3 days)
    • Analysis and design of alternative energy systems with induction generators (2 days)
    • Exams (2 days)

    Laboratory Topics
    • Introduction to the Machinery and Power Laboratory Current, Voltage, Power measurements and spectrum analysis
    • Power and power quality measurements in three-phase systems with passive and active loads
    • Determination of transformer circuit parameters
    • Transformer performance and harmonic currents
    • Induction machine characteristics, performance and harmonic currents
    • Speed control of induction motor and effects of load on power quality
    • Performance of an induction generator
    • Design of a variable frequency drive
    • Design of an alternative energy system
    • Application of alternative energy systems

    Coordinator
    Glenn Wrate
  
  • ET 4500 - Electric Motors

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The emphasis in this course is on the examination of different electric motors that are used in common industrial power systems. Students are introduced to terminology, principles of operation, characteristics, and performance curves of various types of AC and DC machines as well as their proper selection, connections and applications. Practical transformers and relays are also considered. The laboratory is used to illustrate and reinforce these electric motor topics and measurement techniques, and to develop a working knowledge of Programmable Logic Controllers (PLCs), their interfaces, and programming. In this course, students are provided with instruction in the common industrial power systems and the corresponding calculations. (prereq: ET 1520 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Define the magnetic principles as applied to rotating and other electromechanical equipment
    • Describe the characteristics and capabilities of the various types of electrical machines, both AC and DC
    • Select the proper motor for their application
    • Define and apply motor characteristic curves
    • Perform 3-phase complex power calculations
    • Specify components for power factor correction
    • Define the various types of motor (speed/torque) control based on the motor characteristic data
    • Describe the characteristics and capabilities of single- and three-phase transformers
    • Describe the basic operation of, and be able to program, a PLC

    Prerequisites by Topic
    • AC and DC circuit analysis
    • Trigonometry and algebra
    • Magnetic field concepts

    Course Topics
    • Fundamental principles of electricity, magnetism, and electromechanical energy conversion (2 classes)
    • Magnetic circuits, machine theory and operation (1 class)
    • Principles of DC machines (3 classes)
    • Single phase circuits and power (1 class)
    • Transformers (2 classes)
    • Three phase circuits and power (2 classes)
    • Three phase induction motors (4 classes)
    • Synchronous machines (1 class)
    • Sizing motors to various types of loads (1 class)
    • Other three-phase motors, single-phase motors (1 class)
    • Exams (2 classes)

    Laboratory Topics
    • Equipment safety, measurement equipment and methods for AC and DC
    • Magnetization Curve of a DC Generator
    • DC Motor Load Characteristics
    • Single phase complex power and power factor correction
    • Single-Phase Transformers
    • Three-Phase Transformers
    • Squirrel Cage Induction Motor Characteristics
    • Squirrel Cage Induction Motors and Variable Speed Drives
    • Basics of Programmable Controllers

    Coordinator
    Glenn Wrate
  
  • ET 4601 - Quality in Electronic Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Critical to all engineers is an understanding of the meaning of quality and the impact that understanding has on how tasks, engineering and otherwise, are performed. Throughout the range of activities resulting in industrial products, the engineering technologist has responsibility in every process for assuring that quality is implemented in an intentional, deliberate manner. This course emphasizes the understanding of quality via experiential activities, demonstrates the impact of quality, and develops the statistical and organizational tools and techniques for quality analysis. Students will also independently investigate quality-related topics and deliver oral presentations. (prereq: full admission into the BS-EET program or permission of an EET program advisor)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Provide examples of what quality is and its impact on product performance and customer response
    • Demonstrate quality as an essential life aspect that permeates all activities
    • Demonstrate how he/she will always have a direct responsibility for implementing quality
    • Use basic statistical and organizational tools and techniques to analyze for and implement quality
    • Give formal/informal presentations on independently researched material

    Prerequisites by Topic
    • None

    Course Topics
    • What is Quality? (6 classes)
    • Defining a Project (3 classes)
    • Statistics (3 classes)
    • Statistical Quality Tools (6 classes)
    • Project management (2 classes)
    • Student Presentations (6 classes)
    • Case Studies (3 classes)
    • Exams (2 classes)

    Coordinator
    Richard Kelnhofer
  
  • ET 4620 - Data Communications

    4 lecture hours 0 lab hours 4 credits
    Course Description
    The concepts needed to understand the increasingly important field of data communications and networking are presented in this course. The course begins with a review of the characteristics of analog and digital messages, and A-to-D conversion. The course reviews AM and FM, and presents frequency-domain signal characteristics and modulations with digital messages (ASK, FSK, and PSK). Orthogonal signaling and multiplexing are presented. The principles associated with data communication, transmission media, interfaces, error control, flow control, synchronization, circuit-switching and packet-switching are investigated. Ethernet as a LAN configuration is studied. The course concentrates on the physical and data link layers of communication links and networks. The student examines the various options available in networks and systems. Commonly used protocols are emphasized. (prereq: EE 3001B  or ET 3051 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine the mathematical expressions, the time-domain waveforms, the spectrum representations and the parameters (modulation index, carrier and sideband powers, bandwidth) of AM and FM signals
    • Explain the time-domain and frequency-domain representations of digitally modulated ASK, FSK, and PSK communication signals
    • Describe the terms used in data communications, including standards, LANs, WANs, the Internet, and TCP/IP
    • Describe data communications concepts including flow control, error control, multiplexing, signal transmission, and interfacing
    • Describe data communication networking concepts such as topologies, circuit switching versus packet switching, and medium access techniques such as CSMA/CD and Token Ring
    • Specify appropriate transmission media and data network configurations for particular applications

    Prerequisites by Topic
    • Digital logic
    • Frequency-domain signal representations
    • Noise concepts and modulation
    • Digital signals and analog-digital conversion, including sampling

    Course Topics
    • Analog and digital signal characteristics, A-to-D conversion, bandwidth, Nyquist and Shannon limits (3 classes)
    • Modulation - AM, FM, ASK, FSK, PSK (7 classes)
    • Orthogonal signaling, multiplexing, multiple-access (3 classes)
    • Basic data communications, networks, network services, and architectures (3 classes)
    • Guided and unguided data transmission links and media, transmission impairments, error detection and correction (6 classes)
    • Error control and flow control concepts, data link protocols: stop-and-wait (1 class)
    • Local area networks, random and scheduled medium-access techniques (4 classes)
    • Wireless cellular networks (1 class)
    • LAN standards (3 classes)
    • Data-transfer mechanisms in packet-switched networks, TCP/IP (4 classes)

    Coordinator
    Edward Chandler
  
  • ET 4630 - Electronic and Wireless Communications

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This EET technical elective course provides further background in communication systems. Presentations of the following topics will be supplemented with the presentation of contemporary topics in communication systems: analog and digital modulation methods, and signal representations in time and frequency domains (review); the effects of noise on bit-error probabilities for both baseband digital systems and systems with modulation; advanced digital modulation methods, and bandwidth/energy-efficiency comparisons with ASK, FSK, and PSK methods; multiplexing methods (TDMA, FDMA, and CDMA/spread-spectrum); overview of wireless cellular communication systems. (prereq: EE 3031  or ET 3060 , ET 4620 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the differences between ASK, FSK, and PSK digital modulation methods
    • Compute the bandwidth requirements for commonly used baseband signals and digitally modulated signals
    • Perform bandwidth/energy comparisons between ASK, FSK, PSK, and other digital modulation methods
    • Compute power and energy signal-to-noise ratios for signals with random data in white noise
    • Design a receiver using correlation detection or matched filters, for binary or M-ary signaling
    • Compute power and energy signal-to-noise ratios for signals with random data in white noise
    • Determine bit error probabilities as a function of signal-to-noise energy ratio for digitally modulated signals
    • Represent digital modulation methods, using constellation diagrams

    Prerequisites by Topic
    • Functional blocks for typical communication systems
    • Introduction to low-pass and band-pass signals in the frequency domain
    • AM signals with sinusoidal modulation-time waveforms and frequency spectra
    • AM modulators and envelope-detector demodulators
    • FM signals with sinusoidal modulation-time waveforms and frequency spectra
    • Digital information and typical baseband signals
    • Introduction to commonly used modulation methods for digital data (ASK, FSK, PSK)

    Course Topics
    • Digital communication system model
    • Signal orthogonality
    • Baseband and bandpass signal representation (constellation, eye patterns)
    • Digital modulation methods, ASK, PSK, M-PSK, QAM, FSK, MSK
    • Signal-to-noise energy ratios
    • Symbol detection, correlation detection, matched filtering
    • Bit error rate

    Laboratory Topics
    • Introduction, Spectrum Measurements
    • DSB-SC
    • AM
    • FM
    • Digital Modulation - ASK and FSK
    • Digital Modulation - BPSK and QPSK
    • Bit Error Rate Measurements
    • Channel Bandwidth for Digital Data with Various Line Codes
    • Direct-Sequence Spread Spectrum and CDMA

    Coordinator
    Edward Chandler
  
  • ET 4710 - Feedback Control Systems and Circuits

    3 lecture hours 2 lab hours 4 credits
    Course Description
    The student is introduced to the analysis, design and applications of feedback control systems in this course. The topics include the concepts of open- and closed-loop systems, transient and steady-state responses, system speed and error performance, techniques used to determine closed-loop system stability, and design of basic controllers. Modeling and simulation of control systems will be covered using commercially available simulation languages. Typical applications of feedback control systems and circuits will be investigated in the laboratory sessions. (prereq: ET 3001 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design mathematical models and analogs of engineering components
    • Derive block diagrams from transfer functions and, conversely, reduce block diagrams to obtain transfer functions
    • Analyze step input transient response of first and second order systems
    • Design computer models for systems and perform simulation of the systems using Matlab and Simulink
    • Determine the frequency response of systems using Bode diagrams
    • Determine the steady-state error for open-and closed-loop systems
    • Derive transfer functins, and plot associated Bode and/or root-locus graphs
    • Determine the stability of a system using Routh-Hurwitz criteria, root-locus and Bode plots
    • Understand PID controllers

    Prerequisites by Topic
    • Basic college calculus including differentiation and integration
    • Differential equations
    • Complex algebra
    • Laplace transform
    • Operational amplifiers
    • A high-level general purpose computer language

    Course Topics
    • Concept of feedback control systems (1 class)
    • Transfer functions (1 class)
    • Block diagrams and signal flow graphs (2 classes)
    • System time domain response: First and second order systems (4 classes)
    • Modeling and simulation (2 classes)
    • Absolute stability of control systems - Routh-Hurwitz criterion (3 classes)
    • Steady-state error analysis (2 classes)
    • Root-locus technique (3 classes)
    • Bode plot – gain and phase margin (2 classes)
    • Nyquist criterion (1 class)
    • Lead and lag controllers: Analysis and design (1 class)
    • Exams and homework days (9 classes)

    Laboratory Topics
    • Introduction to control systems. Demonstration of a control system (1 session)
    • Introduction to computer modeling and simulation and simulation software: Matlab, Simulink, and Matlab Control Tool Box (2 sessions)
    • Modeling and simulation of a simple control system (1 session)
    • Modeling and simulation of a velocity control system (1 session)
    • Modeling and simulation of a positional control system (1 session)
    • Positive aspects of control systems (1 session)
    • First order control systems (1 session)
    • Second order control systems (1 session)

    Coordinator
    Glenn Wrate
  
  • ET 4720 - Digital Control Systems

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This EET technical elective course extends the classical control techniques from ET 4710  to the areas of discrete-time control systems and state-space control. These systems are analyzed using z-transform and state-space techniques. The sampling theorem, reconstruction, frequency response, system design and digital compensators are also covered. Presentations of these topics will be supplemented with contemporary topics in control systems and/or Programmable Logic Controllers (PLCs). (prereq: ET 4710 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Represent and analyze discrete-time control systems using state variables, z-transforms, and time domain techniques
    • Determine the effects of a zero-order hold on a sampled signal
    • Determine the transfer function of a system containing a sampler and zero-order-hold
    • Represent a sampled-data control system in common block diagram forms
    • Determine the transfer function of a closed-loop sampled-data control system
    • Convert transfer functions to difference equations
    • Convert difference equations to transfer functions
    • Determine the time and frequency domain responses of sampled-data control systems to arbitrary inputs
    • Determine the stability of discrete-time control systems
    • Incorporate compensators, including a PID compensator, in discrete-time control system and determine the effects of the compensator
    • Determine effective designs of compensators in discrete-time control systems

    Prerequisites by Topic
    • Continuous time control systems
    • Laplace transforms

    Course Topics
    • State Variables and State Transition Matrix (2 classes)
    • Transfer Functions and State Diagrams (2 classes)
    • Controllability and Observability (1 class)
    • Analog to Digital conversion (1 class)
    • Transfer functions of Discrete Systems (1 class)
    • Open-loop and closed-loop transfer function of a discrete system (3 classes)
    • Root-locus on the Z-plane (2 classes)
    • Stability of discrete control systems (1 class)
    • Discrete Compensation methods (1 class)
    • Examinations and review (5 classes)

    Laboratory Topics
    • Introduction to Tag-Based Programmable Logic Controllers
    • Designing Human-Machine Interfaces in Automation Systems
    • Timers, Counters, and Math functions in Tag-Based Logic Controllers
    • Introduction to Sampled-Data Control Systems

    Coordinator
    Glenn Wrate

Fluid Power

  
  • FP 2701 - Basic Fluid Power

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course considers fluid power, its advantages and limitations, the prevailing industrial standards, and ANSI/ISO graphic symbols used for circuit representation. Various types of loads are studied and related to the required hydraulic performance. Positive displacement pumps, motors, and actuators are described and steady state sizing relationships are developed relating pressure and flow rate. Also valves for pressure, directional, and flow control are studied individually and as employed in specific hydraulic circuits. Finally, the subject of overall circuit design is treated. Hydrostatic transmissions, cavitation, accumulators, pump controls for energy conservation, hydraulic fluids and filtration are also covered. (prereq: PH 113 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Size hydraulic components based on steady state requirements
    • Design a hydraulic circuit based on specified loads and speeds, and analyze an existing hydraulic circuit based on interpretation of ANSI/ISO graphic symbols used in the circuit diagram
    • Design a hydraulic circuit based on input requirements and standard components by selecting pumps, motors, valves, cylinders, and actuators to meet specific design requirements
    • Select pump controls to minimize energy consumption

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to hydraulic systems design (1 class)
    • Hydraulic cylinders (2 classes)
    • Fluid mechanics and cavitation in hydraulic systems (2 classes)
    • Pumps and pump controls (3 classes)
    • Motors and hydrostatic transmissions (3 classes)
    • Pressure Control Valves (3 classes)
    • Flow Control Valves (4 classes)
    • Directional Control Valves (4 classes)
    • Hydraulic Accumulators (2 classes)
    • Review and testing + comprehensive final exam (3 classes)

    Coordinator
    Daniel Williams
  
  • FP 4701 - Advanced Fluid Power

    3 lecture hours 2 lab hours 4 credits
    Course Description
    Advanced concepts in fluid properties, linearized models for valve, pump, and motors are applied to the steady state modeling of fluid power systems and components. Pump control strategies (pressure compensation, load sensing, torque limiting, power limiting, etc.) are discussed relative to system performance goals. Dynamic analysis of hydraulic components and systems is accomplished using computer based methods (e.g., Matlab/Simulink). Laboratory work support lecture material. (prereq: FP 2701 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Predict the steady state performance of hydraulic components and systems based on linearized models
    • Predict dynamic response of hydraulic components and systems using computer-based tools
    • Select pump controls to meet system performance requirements

    Prerequisites by Topic
    • Basic knowledge of circuit design
    • Knowledge of sizing hydraulic components based on steady state requirements
    • Knowledge of mass and energy balance
    • Static properties of fluids

    Course Topics
    • Fluid properties and linearized models (3 classes)
    • Pump control strategies (3 classes)
    • Steady state valve modeling (3 classes)
    • Steady state valve/cylinder/motor analysis (6 classes)
    • Steady state hydrostatic transmission modeling (2 classes)
    • Hydraulic component dynamic modeling basics (4 classes)
    • Valve dynamic modeling (3 classes)
    • Hydraulic system dynamic modeling (3 classes)
    • Review and testing and comprehensive final exam (3 classes)

    Laboratory Topics
    • Orifice and line loss calculations
    • S.S. performance of fixed displacement, PC, and load sensing pump
    • Steady state performance of a valve controlled motor
    • Steady state performance of a hydrostatic drive
    • Steady state modeling of a hydrostatic drive (Excel model)
    • Cylinder cushion dynamics simulation
    • Introduction to a dynamic modeling of fluid power components
    • Accumulator charge/discharge simulation

    Coordinator
    Daniel Williams

General Engineering

  
  • GE 205 - Professional Growth

    1 lecture hours 0 lab hours 0 credits
    Course Description
    This series of courses (GE 205, GE 305 , GE 405 ) is directed towards the overall growth of the student. The AE and CM B.S. student is required to attain 20 hours of combined professional and community outreach from sophomore through senior year. (prereq: sophmore standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have had an opportunity for professional growth and exposure to community activities related to their profession
    • Have opportunities to participate in community outreach and professional technical continuing education activities

    Prerequisites by Topic
    • None

    Course Topics
    • No course topics have been appended

    Coordinator
    Deborah Jackman
  
  • GE 300 - Career and Professional Guidance

    2 lecture hours 0 lab hours 1 credits
    Course Description
    This course is designed to provide career guidance to electrical engineering students who are completing their junior year. The course serves to prepare students for professional issues arising during the senior year and for entry into a professional career following graduation. Guest speakers from several major electrical engineering areas and disciplines help provide insight into industrial careers. The instructors also advise students on selecting their senior technical electives. Students learn about graduate school opportunities and the mechanics for applying to graduate school. Ethical issues and professional responsibilities are discussed. Part of the course is devoted to developing and discussing team concepts, and the advantages and pitfalls of team engineering efforts. Placement office personnel discuss how to prepare a good resume, placement office procedures, interviewing skills and use of the Internet to find employment opportunities. Students prepare a resume, do research on a company in which they are interested and submit their resume with an appropriate cover letter seeking employment. Finally, the process of professional engineering registration is presented. (prereq: EE junior standing or participation in Exchange program or EE 3001B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have a perspective of various areas of the electrical engineering field
    • Have a perspective of various functions within the engineering team
    • Be aware of various professional issues facing engineers and engineering technologists
    • Write a resume and a cover letter
    • Be aware of possible ethical issues and professional responsibilities in the workplace
    • Conduct research on a company

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction (1 class)
    • Career areas in electrical engineering and electrical engineering technology - industry guest speakers (8 classes)
    • Professional issues: resume preparation, interviewing, teamwork, professional registration, and financial planning (7 classes)
    • Professional and ethical responsibilities (2 classes)
    • Graduate school (1 class)
    • Senior Design and Technical Elective information and voting (1 class)

    Coordinator
    Rich Kelnhofer
  
  • GE 305 - Professional Growth

    1 lecture hours 0 lab hours 0 credits
    Course Description
    This series of courses (GE 205 , GE 305, GE 405 ) is directed towards the overall growth of the student. The AE and CM B.S. student is required to attain 20 hours of combined professional and community outreach from sophomore through senior year. (prereq: junior standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have had an opportunity for professional growth and exposure to community activities related to their profession
    • Have opportunities to participate in community outreach and professional technical continuing education activities

    Prerequisites by Topic
    • None

    Course Topics
    • No Course topics have been appended

    Coordinator
    Deborah Jackman
  
  • GE 405 - Professional Growth

    1 lecture hours 0 lab hours 0 credits
    Course Description
    This series of courses (GE 205 , GE 305 , GE 405) is directed towards the overall growth of the student. The AE and CM B.S. student is required to attain 20 hours of combined professional and community outreach from sophomore through senior year. (prereq: senior standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have had an opportunity for professional growth and exposure to community activities related to their profession
    • Have opportunities to participate in community outreach and professional technical continuing education activities

    Prerequisites by Topic
    • None

    Course Topics
    • No course topics have been appended

    Coordinator
    Deborah Jackman
  
  • GE 499 - Independent Study

    1 lecture hours 0 lab hours 3 credits
    Course Description
    This selection allows the student, with faculty guidance, to concentrate on an approved subject of special interest not covered in regularly scheduled courses. This may take the form of individual or small group supervised study, literature survey, analysis, design or laboratory study. (prereq: approval of a faculty advisor and the program director)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Have studied an engineering topic of special interest

    Prerequisites by Topic
    • None

    Course Topics
    • To be determined by the faculty supervisor

    Coordinator
    Cynthia Barnicki
  
  • GE 611 - Numerical Methods

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course introduces numerical methods for solving ordinary differential equations and partial differential equations with engineering applications. (prereq: computer programming, differential equations and laplace transform, graduate standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • No course learning outcomes appended

    Prerequisites by Topic
    • Computer Programming
    • Differential equations and Laplace Transform

    Course Topics
    • 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

    Coordinator
    Subha Kumpaty
  
  • GE 1001 - Principles of Engineering

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course provides an overview of engineering and engineering technology. Students develop problem-solving skills by tackling real-world engineering problems. Through theory and practical hands-on experiences, students address the emerging social and political consequences of technological change. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Steve Williams
  
  • GE 1002 - Introduction to Engineering Design

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course emphasizes the development of a design. Students use computer software to produce, analyze and evaluate models of projects solutions. They study the design concepts of form and function, then use state-of-the-art technology to translate conceptual design into reproducible products. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Steve Williams
  
  • GE 1003 - Digital Electronics

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces students to applied digital logic, a key element of careers in engineering and engineering technology. This course explores the smart circuits found in watches, calculators, video games and computers. Students use industry-standard computer software in testing and analyzing digital circuitry. They design circuits to solve problems, export their designs to a printed circuit auto-routing program that generates printed circuit boards, and use appropriate components to build their designs. Students use mathematics and science in solving real-world engineering problems. This course covers several topics, including: Analog and digital fundamentals Number systems and binary addition Logic gates and functions Boolean algebra and circuit design Decoders, multiplexers and de-multiplexers. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Richard Kelnhofer
  
  • GE 1004 - Computer Integrated Manufacturing

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course teaches the fundamentals of computerized manufacturing technology. It builds on the solid-modeling skills developed in the Introduction to Engineering Design course. Students use 3-D computer software to solve design problems. They assess their solutions through mass propriety analysis (the relationship of design, function and materials), modify their designs, and use prototyping equipment to produce 3-D models. The course includes these integrated concepts: Computer Modeling: Students use 3-D software for mass property analysis; Computer Numerical Control (CNC) Equipment: Students develop an understanding of the operating procedures and programming capabilities of machine tools; Computer-aided Manufacturing (CAM): Students convert computer-generated geometry into a program to direct the operation of CNC machine tools; Robotics: Students program robots to handle materials in assembly-line operations. Flexible manufacturing Systems: Teams of students design manufacturing work cells and tabletop factories to solve complex problems that arise in integrated multiple pieces of computer-controlled equipment. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Steve Williams
  
  • GE 1006 - Civil Engineering and Architecture

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course explores the fields of civil engineering and architecture, their similarities and differences. It touches such concepts as project development, site selection and analysis, utilities, and landscaping. In architecture such subjects as style, space utilization, building systems, and structural engineering are covered. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Blake Wentz
  
  • GE 1007 - Biotechnical Engineering (BE)

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The major focus of this course is to expose students to the diverse fields of biotechnology including biomedical engineering, bimolecular genetics, bioprocess engineering, and agricultural and environmental engineering. Lessons engage students in engineering design problems related to biomechanics, cardiovascular engineering, genetic engineering, agricultural biotechnology, tissue engineering, biomedical devices, human interface, bioprocesses, forensics, and bioethics. Students in this course apply biological and engineering concepts to design materials and processes that directly measure, repair, improve, and extend living systems. Enrollment in this course is restricted to students in the Project Lead The Way (PLTW) program. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • None appended

    Prerequisites by Topic
    • None 

    Course Topics
    • None appended

    Coordinator
    Ron Gerrits
  
  • GE 1009 - Introduction to Computer Science and Software Engineering

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course implements the College Board’s 2013 CS Principles framework. Uses Python® as a primary tool and incorporates multiple platforms and languages for computation. This course aims to develop computational thinking, generate interest in career paths that utilize computing, and introduce professional tools that foster creativity and collaboration. Helps students develop programming expertise and explore the workings of the Internet. Projects and problems include application development, visualization of data, cybersecurity, robotics, and simulation. The course aligns with Computer Science Teachers Association (CSTA) 3B standards. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Analyze existing code
    • Create an Android application by using pair programming and by practicing the Agile software design process
    • Implement algorithms in Python using GitHub to manage the process
    • Create a graphical user interface using an application-programming interface
    • Use PHP and SQL to structure and access a database hosted on a remote server
    • Understand the role of client-side code, server-side code, and databases in delivering interactive web content
    • Examine very large data sets and utilize data visualization techniques
    • Program automated robotic behavior in C++

    Prerequisites by Topic
    • None

    Course Topics
    • Unit 1 Algorithms, Graphics, and Graphical User Interfaces (48%)
      • Lesson 1.1 Algorithms and Agile Development
      • Lesson 1.2 Mobile App Design
      • Lesson 1.3 Algorithms in Python
      • Lesson 1.4 Images and Object-Oriented Libraries
      • Lesson 1.5 GUIs in Python
    • Unit 2 The Internet (18%)
      • Lesson 2.1 The Internet and the Web
      • Lesson 2.2 Shopping and Social on the Web
      • Lesson 2.3 Security and Cryptography
    • Unit 3 Raining Reigning Data (17%)
      • Lesson 3.1 Visualizing Data
      • Lesson 3.2 Discovering Knowledge in Data
    • Unit 4 Intelligent Behavior (17%)
      • Lesson 4.1 Intelligent Machines
      • Lesson 4.2 Interpreting Simulations

    Coordinator
    Marvin Bollman
  
  • GE 2006 - Engineering Dynamics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This subject deals with the motions of particles and rigid bodies and the forces causing them. Topics include rectilinear and curvilinear motion, rotation and plane motion. Principles include Newton’s Laws, work and energy, conservation of energy, and impulse and momentum. (prereq: ME 255 , MA 225 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Determine position, velocity, and acceleration of particles subjected to rectilinear and curvilinear motions
    • Determine rotation and general plane motions of inplane and constrained bodies
    • Determine trajectory of projectiles given initial conditions
    • Determine the force causing acceleration using Newton’s Second Law of Motion
    • Determine the motion of kinetic systems using the principle of work and energy
    • Determine the motion of particles using the principle of impulse and momentum
    • Determine forces acting upon rigid bodies in motion

    Prerequisites by Topic
    • Physics of Mechanics
    • Trigonometry
    • Advanced Algebra
    • Differential Calculus
    • Definite Integral Calculus
    • Statics

    Course Topics
    • Rectilinear motion of particles (6 classes)
    • Relative and dependent motion of particles (2 classes)
    • Curvilinear motion of particles (2 classes)
    • Plane kinematics of rigid bodies velocities (5 classes)
    • Plane kinematics of rigid bodies acceleration (3 classes)
    • Kinetics of particles - Newton’s Second Law (2 classes)
    • Kinetics of particles - work and energy (2 classes)
    • Kinetics of particles - observation of energy (1 class)
    • Kinetics of particles - impulse and momentum (1 class)
    • Review and exams (6 classes)

    Coordinator
    Mohammad Mahinfalah
  
  • GE 3101 - Fluid Mechanics

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is a course that examines the basic characteristics of fluids. Fundamental fluid properties (density, viscosity) are examined. Fluid statics focuses on the concept of fluid pressure and its variation. Fluid dynamics establishes the fluid flow energy equation, and examines the concept of losses. Applications to turbomachinery are presented. Laboratory experiments support the concepts introduced in the lecture. (prereq: MA 128 , PH 113 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the fluid-static equation to determine pressure at a point
    • Apply the steady-flow forms of the mass and energy balances to a variety of fluid flow problems
    • Determine pipe friction and minor losses, and include these in the energy analysis
    • Evaluate the performance of pumps and fans, using pump-fan curves and flow analysis
    • Utilize instrumentation for measurement of fluid and flow properties, with an understanding of the accuracy and precision of the measuring systems

    Prerequisites by Topic
    • Newton’s Second Law
    • Trigonometric relations

    Course Topics
    • Definitions and properties (2 classes)
    • Statics and pressure gauges (4 classes)
    • Fluid flow: mass and energy balances (3 classes)
    • Bernoulli energy, losses, shaft work (5 classes)
    • Turbomachinery (4 classes)
    • Exams (2 classes )

    Laboratory Topics
    • Pressure gauge calibration
    • Measurement of viscosity
    • Measure of air flow in a duct
    • Obstruction flow meter calibration
    • Determination of friction factor and minor losses
    • Analysis of a pump system/analysis of a fan syste
    • Reynolds’ experiment

    Coordinator
    Chris Damm
  
  • GE 3102 - Fluid Mechanics

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This is a course that examines the basic characteristics of fluids. Fundamental fluid properties (density, viscosity) are examined. Fluid statics focuses on the concept of fluid pressure and its variation. Fluid dynamics establishes the fluid flow energy equation, and examines the concept of losses. Applications to turbomachinery are presented. Laboratory experiments support the concepts introduced in the lecture. (prereq: MA 128  or MA 136 , PH 113 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the fluid-static equation to determine pressure at a point
    • Apply the steady-flow forms of the mass and energy balances to a variety of fluid flow problems
    • Determine pipe friction and minor losses, and include these in the energy analysis
    • Evaluate the performance of pumps and fans, using pump-fan curves and flow analysis
    • Utilize instrumentation for measurement of fluid and flow properties, with an understanding of the accuracy and precision of the measuring systems

    Prerequisites by Topic
    • Newton’s Second Law
    • Trigonometric relations

    Course Topics
    • Definitions and properties
    • Statics and pressure gauges, buoyancy
    • Fluid flow: mass and energy balances
    • Bernoulli energy, losses, shaft work
    • Reynolds number, predictions of friction and minor losses
    • External flow, drag
    • Turbomachinery
    • Exams

    Laboratory Topics
    • Pressure gauge calibration
    • Measurement of viscosity
    • Measure of air flow in a duct
    • Obstruction flow meter calibration
    • Determination of friction factor and minor losses
    • Analysis of a pump system/analysis of a fan system
    • Reynolds’ experiment

    Coordinator
    Michael Swedish
  
  • GE 3301 - Instrumentation and Control of Engineered Systems

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course teaches the fundamentals of measurement systems and will prepare students to design and conduct engineering experiments. Basic concepts in mechatronic systems will be introduced. Topics include the general characteristics of measurement systems: static, transient and periodic signals, 1st and 2nd order response, signal conditioning, sampling and D/A conversion. Laboratory topics will include the use of specific transducers, which includes the physical principle for each transducer and the advantages and limitations of the measurement techniques, along with fundamental concepts in signal conditioning and data acquisition. A project is included in this course. (prereq: EE 201 , GE 2006 , ME 354 , GE 3901 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design and conduct engineering experiments
    • Describe the characteristics and requirements for common measurements
    • Describe the operation and use of common sensors used in measurement
    • Design a measurement and data acquisition system

    Prerequisites by Topic
    • Basic circuits, dynamics, heat transfer and MAT-LAB programming.

    Course Topics
    • Measurement System Concepts (3 classes)
    • Signal Characteristics (2 classes)
    • Measurement System Behavior (3 classes)
    • Sampling and Data Acquisition (3 classes)
    • Planning an Experiment (2 classes)
    • Technical Report Writing (1 class)
    • Types of Measurements (3 classes)
    • Mechatronics (2 classes)
    • Review and Exams (1 class)

    Laboratory Topics
    • Measurement uncertainty
    • Static Calibration and Transient Response (Temperature measurement)
    • Measurement of temperature rise during cutting process
    • Measurement of Torque vs Tension in Bolted joint
    • Accelerometer Measurement (vibration of Cantilever Beam)
    • Project (Specification of Measurement and Data Acquisition)

    Coordinator
    Mathew Schaefer
  
  • GE 3302 - Instrumentation and Control of Engineered Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course teaches the fundamentals of measurement systems and will prepare students to design and conduct engineering experiments. Basic concepts in mechatronic systems will be introduced.  Topics include the general characteristics of measurement systems: static, transient and periodic signals, 1st and 2nd order response, signal conditioning, sampling and D/A conversion. Laboratory topics will include the use of specific transducers, which includes the physical principle for each transducer and the advantages and limitations of the measurement techniques, along with fundamental concepts in signal conditioning and data acquisition. A project is included in this course. (prereq: EE 201 , GE 2006  or ME 2003 , ME 354 , GE 3901  or ME 190 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design and conduct engineering experiments
    • Describe the characteristics and requirements for common measurements
    • Describe the operation and use of common sensors used in measurement
    • Design a measurement and data acquisition system

    Prerequisites by Topic
    • Basic circuits, dynamics, heat transfer and MAT-LAB programming

    Course Topics
    • Signal Characteristics
    • Measurement System Behavior
    • Sampling and Data Acquisition
    • Measurement Uncertainty & Uncertainty Analysis
    • Planning an Experiment
    • Technical Report Writing
    • Types of Measurements
    • Mechatronics, Actuators & Controls
    • Review and Exams

    Laboratory Topics
    • Measurement uncertainty (Measuring Density of a Sample)
    • Static Calibration and Transient Response (Temperature measurement)
    • Measurement of temperature rise during cutting process
    • Measurement of Torque vs Tension in Bolted joint (Strain Gage)
    • Accelerometer Measurement (vibration of Cantilever Beam)
    • Accelerometer Measurement (Transient, Vehicle  ”Crash Test”)
    • Pressure & Flow Measurement
    • Project (Specification of Measurement and Data Acquisition)

    Coordinator
    Mathew Schaefer
  
  • GE 3601 - Solid Modeling and Design I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    In this course, the use of parametric solid modeling software in engineering design will be explored. Students will learn the basic modeling skills needed to create part models, assemblies and detailed drawings. Integration of solid modeling into the product design process will be emphasized. The course includes a design project. (prereq: none) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Model 3D parts using parametric techniques
    • Assemble part models into assemblies
    • Create 2D drawings of parts and assemblies
    • Analyze part models for simple manufacturing concerns

    Prerequisites by Topic
    • None

    Course Topics
    • Part Modeling (5 classes)
    • Part Drawings (5 classes)
    • Assembly Modeling (4 classes)
    • Assembly Drawings (3 classes)
    • Analysis (1 class)
    • Geometric Dimensioning and Tolerancing (1 class)
    • Individual Project (1 class)

    Laboratory Topics
    • Parts (5 sessions)
    • Assemblies (2 sessions)
    • Drawings (2 sessions classes)
    • Individual Project (1 session)

    Coordinator
    Joseph Musto
  
  • GE 3602 - Solid Modeling and Design II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    In this course, more intermediate part modeling features such as sweeps, blends, surfacing and family tables are covered within parametric modeling software. Modeling of manufacturing of sheet metal parts is included. Motion analysis with simple mechanisms is introduced. The course includes a design project. (prereq: GE 3601 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Model 3D parts using more complex modeling tools
    • Simulate simple mechanisms
    • Model sheet metal parts and surfaces

    Prerequisites by Topic
    • None

    Course Topics
    • Advanced Part Modeling: patterns, sweeps, blends, graphs, mirror parts, user defined features, analysis features, importing sketches (7 classes)
    • Sheet Metal Parts and Drawings (6 classes)
    • Surfacing (2 classes)
    • Mechanisms (2 classes)
    • Family Tables of Parts (1 class)
    • Flexible Components (1 class)
    • Simplified Representations (1 class)

    Laboratory Topics
    • Advanced Part Modeling: patterns, sweeps, blends, graphs, mirror parts, user defined features, analysis features, importing sketches (5 sessions)
    • Sheet Metal (1 sessions)
    • Surfacing (1 session)
    • Mechanisms (1 session)
    • Family Tables of Parts (1 session)
    • Individual Project (1 session)

    Coordinator
    Joseph Musto
  
  • GE 3650 - Engineering Systems Design

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course is an introduction to the methods and practices of engineering design. Topics include: the design process, describing and developing design objectives, managing the design process, engineering specifications, engineering problem-solving, presentation of design solutions, and the concepts of DFX. A team design project will be undertaken. (prereq: ME 207  or ME 2004 , ME 1601  or GE 3601 , and junior standing) (coreq: GE 3602 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Perform an assessment of problem need and develop design specifications in engineering design
    • Be familiar with techniques used to develop multiple solutions
    • Apply a systematic approach to select optimal design solution
    • Be familiar with the role of engineering ethics and societal concerns in design process

    Prerequisites by Topic
    • None

    Course Topics
    • Course Introduction, Team Assignment and Collaboration Techniques (3 classes)
    • Define Engineering Design Process (2 classes)
    • Problem Definition (4 classes)
    • Design Goals and Specifications (4 classes)
    • Design Solution Idea Generation Techniques (4 classes)
    • Ethics and Liability in Engineering Design (4 classes)
    • Hazard Analysis and Failure Analysis (4 classes)
    • Design Analysis (3 classes)
    • Design Process Project and Presentation (8 classes)
    • Review and Exams (4 classes)

    Coordinator
    William Farrow
  
  • GE 3651 - Computer-Aided Engineering Design

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is a course in the applications of computing tools to the engineering design. Simulation tools and techniques for virtual prototyping and design optimization will be introduced. A team design project will be undertaken using these modern simulation tools. (prereq: GE 3650 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply the design methodology to design and analyze parts and assemblies of parts
    • Effectively communicate a design in graphics, report writing and oral presentations
    • Use computer tools to solve linear equations
    • Use the CAD package to design parts
    • Use FEA software to analyze stress and strain
    • Use computer tools to prototype and verify a design
    • Work in a work environment to develop and analyze an engineering design
    • Assign and/or divide engineering work in a group environment

    Prerequisites by Topic
    • CAD Modeling

    Course Topics
    • Review of statics and strength of materials (3 classes)
    • Overview of the design process with CAE (traditional versus concurrent engineering) (1 class)
    • Overview of tolerancing techniques (traditional versus GDT) (2 classes)
    • Definition of project goals, objective and constraints (1 class)
    • Script development for engineering analysis (2 classes)
    • Project conceptual design (2 classes)
    • Advanced CAD topics (enhanced features, assemblies, CAD for analysis) (4 classes)
    • Working drawings for communication of design specifications (3 classes)
    • Overview of the finite element (FE) method (3 classes)
    • Generation of a FE model from CAD (geometric) model (1 class)
    • Linear structural analysis (5 classes)
    • Report writing methods and presentations (3 classes)

    Laboratory Topics
    • Statics and Strength of material review of application
    • GDT tolerancing by application
    • Script development for iterative engineering design
    • Advanced CAD topics (enhanced features, assemblies)
    • CAD geometry export and import
    • FEA analysis (linear, structural and buckling)
    • Design presentations

    Coordinator
    Robert Rizza
  
  • GE 3901 - Computer Tools

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The purposes of this course are to familiarize students with the modern computer tools required for engineering practice and to teach them how to apply these tools to solve practical engineering problems. Topics include loops, logical branching, functions, plotting, root finding, matrix operations, and numerical methods. Laboratory exercises will involve the use of various computational software packages in the solution of engineering problems. (prereq: MA 127  or equivalent)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Formulate and solve engineering problems using MATLAB
    • Have written structured computer programs to solve engineering problems using MATLAB
    • Use computer tools (MATLAB and Excel) to plot graphs, find the roots of equations, and perform matrix operations
    • Formally document the solution to engineering problems

    Prerequisites by Topic
    • College Trigonometry
    • College Algebra

    Course Topics
    • Problem solving methodologies, Introduction to computing (1 class)
    • Simple and symbolic operations (2 classes)
    • Working with arrays, Plotting (2 classes)
    • Programming - loops (3 classes)
    • Programming - logic (2 classes)
    • Root finding techniques (1 class)
    • Matrix methods (1 class)
    • Solving simultaneous equations (2 classes)
    • Numerical integration (2 classes)
    • Optimization (2 classes)
    • Testing and Review (2 classes)

    Laboratory Topics
    • Introduction to Matlab and Excel
    • Structured Programming
    • Plotting data
    • Roots of Equations
    • Solving Simultaneous equations
    • Numerical Integration
    • Optimization

    Coordinator
    Joseph Musto
 

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