May 05, 2024  
2020-2021 Undergraduate Academic Catalog 
    
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

Course Descriptions


 

Electrical Engineering

  
  • EE 499G - Independent Study - German Students

    0 lecture hours 0 lab hours 12 credits
    Course Description
    Students enrolled in this course are afforded the opportunity to pursue a specialized topic in their chosen field of study. After an approved area of study has been selected, weekly meetings with the course advisor are required. A final written report, the format of which is left to the discretion of the advisor, is required at the end of the term. (prereq: for THL students only)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Carry out an in-depth independent investigation on a technical topic with minimal supervision
    • Write a formal report which clearly presents a new body of knowledge learned

    Prerequisites by Topic
    • Varies

    Course Topics
    • Course topics to be selected

    Coordinator
    Dr. Jennifer Bonniwell
  
  • EE 1000 - Introduction to Electrical Engineering

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course provides an introduction to common practices and ideas of electrical engineering, including terminology, problem solving methodology, basic analytical tools, laboratory practice, working in teams and the engineering design process. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Gain an understanding of both the engineering profession and what electrical engineers do
    • Use fundamental lab instrumentation, including multimeters, oscilloscopes, function generators, power supplies
    • Gain an understanding of time management and self-assessment practices which are necessary for success in engineering study
    • Understand and use basic electrical engineering terminology and methodology
    • Be familiar with the performance of selected engineering devices typical of the electrical engineering discipline

    Prerequisites by Topic
    • High school algebra and trigonometry

    Course Topics
    • None

    Laboratory Topics
    • Lab topics vary depending on instructional staff.  Examples of lab topics:
    • Electrical Engineering instrumentation
    • Data Acquisition
    • Mathematical modeling
    • Time management and self-assessment
    • Microprocessors
    • Wiring and soldering
    • Motors
    • MATLAB
    • Digital logic and robotics

    Coordinator
    Dr. Sheila Ross
  
  • EE 1910 - Introduction to Embedded Systems Programming

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces concepts that are required to solve engineering problems using embedded systems. Students will develop a working knowledge of structured programming, basic microcontroller architecture and terminology, and the tools used in developing and designing embedded systems. In addition to implementing lecture topics, laboratory sessions include practical considerations for physical interfacing of basic analog and digital electronic devices. A course project emphasizes the interaction between physical processes, peripherals, and the computation/control capabilities of the microcontroller. A high-level programming language is used, and all programs are executed on an embedded system. (prereq: MA 125 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design and document algorithmic solutions for engineering problems
    • Understand variables, expressions, and operations in C
    • Use structured programming techniques in C
    • Design and write functions in C
    • Design and write embedded systems software to solve engineering problems
    • Use various subsystems of a microcontroller in practical applications
    • Use datasheets in support of device interfacing and software development
    • Understand concepts and terminology related to microcontroller architecture
    • Use embedded systems tools for software development and debugging
    • Recognize and employ good software practices as they relate to embedded systems

    Prerequisites by Topic
    • College Algebra I

    Course Topics
    • Introduction to the course (1 class)
    • Problem solving, algorithm, flow-chart, and pseudo-code development (2 classes)
    • Number systems and data types (2 classes)
    • Variables, expressions, and operators (5 classes)
    • Control constructs, and looping techniques (4 classes)
    • User-defined functions, parameters, returns, and function prototypes (2 classes)
    • Subscripted variables, arrays (3 classes)
    • Pointers and function parameter passing by pointers (2 classes)
    • Basic microcontroller architecture, subsystems, and memories (2 class)
    • Tool chain and device programming (1 class)
    • Software libraries, header files, and coding conventions (1 class)
    • State machines (2 classes)
    • Examinations (3 classes)

    Laboratory Topics
    • Introduction to IDE and embedded hardware platform (1 session)
    • Data types, serial console (1 session)
    • Blinking/Fading LEDs (1 session)
    • Digital I/O (2 sessions)
    • Analog I/O (2 sessions)
    • Design Project (2 sessions)
    • Interfacing considerations, debugging techniques, professional software practices, and use of datasheets (distributed)

    Coordinator
    Dr. Sheila Ross
  
  • EE 2050 - Linear Circuits - Steady State I

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces the basic laws used in the analysis of electrical circuits. Specific topics covered include Kirchhoff’s Laws, resistors in series and parallel, circuit analysis methods, op amps, Thevenin/Norton equivalent circuits, and superposition. The course is limited to DC circuit analysis. Circuit simulation software is introduced as a computer analysis tool. The associated laboratory reinforces the lecture material. (prereq: MA 136 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Demonstrate a standard of expertise in the understanding of circuit laws and in the analysis of electrical circuits
    • Write and solve KCL and KVL equations using standard methods of circuit analysis for DC circuits, including symbolic DC circuits
    • Simplify electrical circuits using series/parallel resistance combinations, source transformations, and Thevenin’s/Norton’s theorems, including symbolic DC circuits
    • Solve a DC circuit problem using the superposition principle
    • Demonstrate calculator skills in solving simultaneous equations representing n-node circuit problems
    • Demonstrate the ability to analyze DC circuits using circuit simulation software
    • Compute power calculations for a DC circuit
    • Demonstrate circuit laboratory skills and perform DC measurements
    • Demonstrate the use of nodal analysis in the solution of circuit problems
    • Demonstrate the use of branch currents in the solution of circuit problems
    • Analyze DC circuits that include ideal operational amplifiers

    Prerequisites by Topic
    • Differentiation of algebraic and trigonometric functions
    • Solution of a system of linear equations using a calculator

    Course Topics
    • DC concepts and laws (9 classes)
    • DC analysis (17 classes)
    • Op amps (2 classes)
    • Tests (2 classes)

    Laboratory Topics
    • Laboratory experiment details and expectations are described in the on-line EE 2050 Lab Manual
    • Students are lectured on laboratory safety
    • Students are expected to prepare for the lab by doing all required pre-lab activities and to finish all remaining requirements during the laboratory itself
    • Limited laboratory reports will be required

    Coordinator
    Dr. Sheila Ross
  
  • EE 2060 - Linear Circuits - Steady State II

    3 lecture hours 2 lab hours 4 credits
    Course Description
    After a brief review of DC circuit concepts and methods, AC circuit analysis and frequency as a variable are introduced and developed. Specific topics covered include phasors, impedance, complex AC power, mutual inductance and transformers, RL and RC filters, and Bode plots. The use of computer circuit simulation software is continued to include the AC analysis of circuits. The associated laboratory reinforces the lecture material. (prereq: EE 2050 , MA 137  or MA 1410H)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Represent a complex number in complex exponential form
    • Convert complex numbers from polar form to rectangular form and from rectangular form to polar form using Euler’s Identities
    • Apply circuit laws and in the analysis of electrical circuits
    • Solve KCL and KVL systems of equations using standard methods of circuit analysis for AC circuits, including symbolic AC circuits
    • Perform complex power calculations
    • Analyze AC circuits with mutual inductors and transformers
    • Demonstrate for simple filters the changing circuit performance as a function of frequency
    • Relate mathematical expressions of transfer functions to Bode plots and derive frequency-domain transfer functions for passive and active circuits
    • Demonstrate calculator skills to solve circuit equations
    • Demonstrate the ability to analyze AC circuits using circuit simulation software
    • Demonstrate circuit laboratory skills and perform AC measurements

    Prerequisites by Topic
    • Integral calculus
    • DC circuit laws and analysis methods
    • Complex number theory and algebraic manipulations
    • Laboratory performance skills
    • DC circuit analysis using circuit simulation software

    Course Topics
    • AC circuit concepts and circuit analysis (7 classes)
    • Complex power (4 classes)
    • Magnetically coupled circuits (4 classes)
    • Frequency as a variable (3 classes)
    • Decibels and Bode plots (5 classes)
    • Review (5 classes)
    • Examinations (2 classes)

    Laboratory Topics
    • Laboratory experiment details and expectations are described in the on-line EE 2060 Lab Manual
    • Students are lectured on laboratory safety
    • Students are expected to prepare for the lab by doing all required pre-lab activities
    • Limited laboratory reports will be required

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 2070 - Linear Circuits - Transients

    3 lecture hours 0 lab hours 3 credits
    Course Description
    After a brief review of DC and AC circuit concepts and methods, the course introduces and develops series and parallel resonance and the transient analysis of circuits, using both classical and Laplace transform techniques.  In addition, the analysis of circuits with step-function and sinusoidal sources leads to a general consideration of transfer functions.  Multisim is used to simulate system responses. (prereq: EE 2060 ) (coreq: MA 235  or MA 2440H)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use an organized process, strategy, or template in solving problems
    • Analyze and design series and parallel resonant circuits
    • Determine the time domain transient analysis response of a first order circuit
    • Determine the time domain transient response of a second order circuit
    • Graph the time domain transient responses of first and second order circuits
    • Classify a second order transient response as either, under damped, over damped, or critically damped
    • Use computer simulation tools to do transient analysis
    • Determine Laplace transforms for simple time-based functions commonly used in the analysis of electrical and control systems
    • Use Laplace methods to obtain voltages and currents in circuits having arbitrary input functions and initial conditions
    • Derive s-domain transfer functions for simple RL, RC, and RLC circuits

    Prerequisites by Topic
    • DC and AC steady-state circuit analysis techniques
    • Steady-state Multisim circuit analysis
    • Linear circuit models for resistors/inductors/capacitors
    • Linear differential equation solution techniques
    • Laplace transforms and operations

    Course Topics
    • Series and parallel resonance
    • Time domain transient analysis of first-order circuits
    • Time domain transient analysis of second-order circuits
    • Laplace transforms of time-based functions that include the unit step, unit ramp, impulse, exponentials and complex exponentials, and operations
    • Transient analysis using transforms of circuits
    • S-domain circuit models and analysis

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 2510 - Introduction to Object-Oriented Programming

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces object-oriented programming to students who have experience in structured programming techniques. Particular emphasis is placed on the design and implementation of computer programs to solve problems encountered in engineering practice. Topics include introduction to object-oriented programming concepts, user-defined classes, constructors and destructors, abstraction techniques, overloading, polymorphism, and inheritance. (prereq: EE 1910  or EE 3910B , MA 137  or MA 225)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Design computer software to solve engineering problems using object-oriented programming method
    • Create and use classes and objects
    • Apply encapsulation and information hiding in software design
    • Create and apply derived classes (inheritance)
    • Create and apply virtual functions (polymorphism)
    • Implement objects and classes in designing software for engineering applications

    Prerequisites by Topic
    • Procedural programming techniques
    • Calculus for engineers including topics of differentiation and integration

    Course Topics
    • Introduction
    • OO design
    • Classes
    • Static data
    • Properties and attributes
    • Methods
    • Functions
    • Events, handles, and messages
    • Constructors and destructors
    • Superclasses and subclasses
    • Object arrays
    • Review
    • Tests
    • Final examination

    Laboratory Topics
    • Design and implementation of a basic class
    • Design and implementation of a linked list
    • Design and implementation of a class
    • Design and implementation of a superclass
    • Design and implementation of a class with dynamic properties
    • Extension of a class with listener function
    • Design and implementation of super- and subclasses
    • Design and implementation of a save/load class
    • Design and implementation of an overloaded disp() function
    • Design and implementation of related classes

    Coordinator
    Dr. Timothy Johnson
  
  • EE 2705 - Linear Circuits I: DC

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This first course (in a series of three) introduces the student to key topics associated with the behavior and analysis of steady-state DC electrical circuits. Following a detailed review of the basic concepts associated with current, voltage, resistance, electrical power and energy, the course progresses through a variety of circuit analysis techniques derived from fundamental laws and theorems and will include the use of: node voltage, mesh current analysis, superposition, source transformations, Thevenin / Norton equivalent circuits, and maximum power transfer.   (prereq: PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Possess a working knowledge of fundamental electrical concepts (charge, current, voltage, resistance, power, and energy) along with a functional and mathematical understanding of their interrelationships
    • Recognize the configurations of and differences between series and parallel circuits
    • Recognize the definitions of and the differences between both dependent and independent ideal and real voltage and current sources
    • Be able to analyze the behavior of DC electrical circuits which include solving for circuit branch currents, node voltages, equivalent resistances, and delivered and absorbed power using established laws, theorems, and the following classical techniques:
    • Mesh current analysis through the formulation and solving of loop equations
    • Nodal analysis via the application and solution of voltage node equations
    • Superposition principle and circuits with multiple voltage and/or current sources
    • Circuit reduction and simplification techniques embodied in the concepts of source transformations, Thevenin, and Norton equivalent circuits
    • Demonstrate the use and application of the maximum power transfer theorem
    • Be proficient in the use, application, and interpretation of circuit simulation software, e.g., MultiSim, and its value in prototyping and circuit design
    • Be proficient in the use of the scientific calculator for solving simultaneous equations
    • Be able to recognize and apply the following safe and proper laboratory skills:
      • Basic safety principles when using AC line-powered instruments
      • Circuit breadboarding concepts and techniques
      • Calculation of resistor power dissipation and proper specification of resistor power ratings
      • Set-up and use of the digital multimeter for the measurement of continuity, electrical resistance, DC currents, and voltages
      • Capabilities and limitations of DC power supplies
      • Importance, use, and maintenance of the laboratory notebook for the management and recording of experimental results

    Prerequisites by Topic
    • Physics of electricity and magnetism

    Course Topics
    • DC concepts, laws, and theorems [5 classes]
      • Ohm’s & Kirchhoff’s current & voltage laws; behavior of resistors in series and parallel circuits; ideal, real, and independent & dependent current and voltage sources
    • DC circuit analysis techniques [13 classes]
      • mesh current, nodal, source transformation, superposition, Thevenin & Norton equivalent circuits
    • Exams [2 classes]

    Laboratory Topics
    • Use of laboratory instruments (digital multimeter & power supply) with series and parallel DC circuits
    • LED i-v characteristics and use and interpretation of component specification sheets
    • Multisim circuit simulator software
    • Linearity principle and superposition
    • Thevenin equivalent circuits and maximum power transfer

    Coordinator
    Dr. Larry Fennigkoh
  
  • EE 2715 - Linear Circuits II: Transients

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This second course (in a series of three) introduces students to transient analysis of both 1st and 2nd order linear systems primarily through the use of electrical circuits with step inputs in both the time and Laplace domains.  Multisim and a variety of laboratory experiments are used to further examine and reinforce the classical analysis techniques used in studying transient phenomena. The similar behavior in thermal and mechanical systems is also briefly covered.  (prereq: EE 2705 ) (coreq: MA 235 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate a working knowledge of the physical construction and the electrical behavior of capacitors and inductors
    • Recognize and calculate equivalent circuit capacitance and inductance in circuits involving series and parallel components
    • Analyze, calculate, and graphically represent the 1st order transient response of R-L and R-C circuits in the time domain
    • Determine circuit time constants and their effects on transient response
    • Be proficient in the use, application, and interpretation of circuit simulation software, e.g., MultiSim, in evaluating 1st order circuits
    • Analyze, calculate, and graphically represent the 2nd order transient response of RLC circuits in the time domain
    • Mathematically determine whether 2nd order RLC circuits are either under-, critically-, or over-damped
    • Analyze and calculate the transient response from 1st and 2nd order circuits in the time and Laplace domains
    • Recognize the importance of transient response of non-electrical, e.g., thermal and fluidic systems

    Prerequisites by Topic
    • DC circuit analysis
    • Use of Multisim circuit simulation software
    • Fundamental circuit construction/breadboarding techniques
    • Use of the scientific calculator

    Course Topics
    • Capacitors, inductors, 1st & 2nd order circuits [12 classes]
    • Laplace transforms and transient circuit analysis [3 classes]

    Laboratory Topics
    • Use of the function generator and oscilloscope: 1st order R-C circuits
    • Transient analysis with Multisim
    • Mini-defibrillator circuit design - 1st & 2nd order systems

    Coordinator
    Dr. Larry Fennigkoh
  
  • EE 2725 - Linear Circuits III: AC

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This third course (in a series of three) is a continuation of EE 2715 with the emphasis now being on AC circuit analysis and the use of frequency as a variable. Following a brief review of basic DC circuit analysis techniques, emphasis will be given to complex numbers and the use of phasor notation, impedance, complex AC power, mutual inductance, transformers, RL and RC filters, and Bode plots. AC circuit analysis in both the time and Laplace domains along with the concepts associated with transfer functions will also be included. The significance and control of 60 Hz leakage currents from medical devices, and electrical safety in hospital environments will also be emphasized. The use of MultiSim as an analysis and simulation tool is used throughout the course. (prereq: EE 2715 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Possess a working knowledge of complex numbers and phasor notation in the analysis of AC circuits
    • Analyze and solve for AC currents, voltages, and impedances in both the time and Laplace domains
    • Recognize the sources and significance of phase shifts between AC currents and voltages in AC circuits
    • Understand the definitions of, the differences between, and be able to calculate the average, reactive, and apparent power in AC circuits and be able to graphically represent their interrelationships through use of the power triangle
    • Understand the design, behavior, applications, and basic calculations associated with transformers
    • Understand the origin, significance, and design control of 60 Hz leakage currents in AC line powered devices in general and medical devices in particular
    • Recognize, design, and analyze passive low, high, and bandpass filters in both the time and Laplace domains - including series and parallel resonance
    • Understand the concepts and analysis of system transfer functions in the Laplace domain
    • Understand the concepts, construction, and analysis of Bode plots (amplitude and phase)

    Prerequisites by Topic
    • DC circuit analysis techniques and methods [EE 2705, EE 2715]
    • Behavior and function of capacitors and inductors [EE 2715]
    • Differential equations and Laplace transforms [EE 2715, MA 235]
    • Use of Multisim circuit simulator [EE 2705, EE 2715]

    Course Topics
    • AC circuit analysis [10 classes]
    • Transformers [2 classes]
    • AC power analysis [5 classes]
    • Frequency response [5 classes]
    • Transfer functions [3 classes]
    • Reviews and exams [5 classes]

    Coordinator
    Dr. Larry Fennigkoh
  
  • EE 2905 - Introduction to Embedded Systems and Digital Electronics

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces students to embedded systems, embedded programming concepts, and basic electronics interfacing. Course topics include microcontroller architecture, subsystems, and embedded systems terminology. The course includes limited coverage of electrical interfacing of embedded systems to external digital and analog electronics. An integrated high-level programming environment is used. Students complete a course project that emphasizes the interaction between the hardware and software components of a practical embedded system. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Describe the general sub-systems and operation of embedded controllers
    • Describe biomedical applications of embedded systems
    • Describe the purpose of integrated development environments
    • Describe and effectively use data types in a modern, high-level computing environment
    • Describe and effectively use control constructions in a modern, high-level computing environment
    • Describe and effectively use digital inputs and outputs, PWM outputs, and analog inputs and outputs in a high-level computing environment running on modern embedded system hardware
    • Describe and effectively use user defined functions or blocks in a modern, high-level computer programming environment
    • Describe and effectively use provided classes and libraries in a high-level computer programming environment to program on a modern embedded processor
    • Design, create, and document relatively simple embedded programs

    Prerequisites by Topic
    • None

    Course Topics
    • General sub-systems and operation of embedded controllers
    • Survey of biomedical applications of embedded systems
    • Integrated development environments for embedded programming
    • Data types in a modern, high-level computer programming environment
    • Control constructions in a modern, high-level computer programming environment
    • Digital inputs and outputs, PWM outputs, and analog inputs and outputs in a modern, high-level computer programming environment running on modern embedded system hardware
    • User defined functions or blocks in a modern, high-level computer programming environment
    • Provided classes and libraries in a high-level computer programming environment running on a modern embedded operating system
    • Designing, implementing and documenting relatively simple embedded programs

    Laboratory Topics
    • Introduction to IDE, embedded hardware platform and programming
    • Digital and PWM outputs
    • Conditional constructs
    • Digital inputs
    • Loops
    • Analog inputs
    • Displays
    • Interfacing with MATLAB (serial communications)
    • Programming with functions
    • Programming with arrays

    Coordinator
    Dr. Charles Tritt
  
  • EE 2920 - Embedded Systems

    3 lecture hours 2 lab hours 4 credits
    Course Description
    This course introduces students to programming and design of microprocessor-based systems. Concepts covered include microprocessor architecture, serial and parallel I/O, interrupts, interfacing of hardware components to a typical microprocessor, and microcomputer system design. The target system is used for development of both software and hardware. Each student designs at least two microcomputer subsystem interfaces entailing both hardware and software. (prereq: EE 1910 , EE 2050 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Explain how a microprocessor and a microcontroller work
    • Write structured programs in C
    • Interpret timing diagrams and machine cycles
    • Interface hardware components, such as switches, keypads, and LEDs to the parallel port of the microcontroller
    • Develop interrupt driven C programs
    • Develop C programs using the subsystems of a microcontroller
    • Interpret and apply a standard communication protocol in an embedded system design
    • Diagnose software and hardware problems
    • Use a personal computer for software development and debugging

    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/microcontroller (1 class)
    • Addressing modes, instruction set, C language programming including subroutines (2 classes)
    • Number systems, basic binary arithmetic (2 classes)
    • Timing, machine cycles and states (1 class)
    • Parallel input/output, programmed I/O and interrupt I/O (5 classes)
    • Timing system and I/O (5 classes)
    • A/D and D/A conversion (4 classes)
    • Serial communication (3 classes)
    • Power management and sleep modes (1 class)
    • Examinations and review (3 classes)

    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

    Coordinator
    Dr. Kerry Widder
  
  • 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
    Dr. 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
    Dr. 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
    Dr. Robert Strangeway
  
  • 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 system 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 3002B  or EE 2725 )
    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
    • Calculus
    • Circuit analysis
    • 1st and 2nd order 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
    Dr. 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  and PH 2011 ) (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 dissimilar 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
    Dr. Jennifer Bonniwell
  
  • 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 2011 ) (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
    Dr. Jennifer Bonniwell
  
  • 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
    • 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

    Laboratory Topics
    • Diode, BJT, and FET device characterization
    • FET and BJT applications in logic, switching, and amplifiers

    Coordinator
    Dr. Steve Holland
  
  • 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 operation 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
    • Operational amplifier fundamentals
    • Operational amplifiers with resistive feedback
    • Active filters
    • Static op amp limitations
    • Dynamic op amp limitations
    • Stability
    • Non-linear circuits
    • Signal generators

    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
    Dr. Steve Holland
  
  • 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  or MA 2323  or MA 3501 , 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
    • Electrostatics: Coulomb’s law, Gauss’s law, and electric potential
    • Capacitance and conductor-dielectric boundary conditions
    • Magnetism, current densities, magnetostatics, Biot-Savart law
    • Ampere’s Circuital law, magnetomotive force principles for magnetic circuits, inductance

    Coordinator
    Dr. Steven Holland
  
  • 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 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:
    • Apply electromagnetic principles to electronic components and circuits
    • Apply, interrelate, and interpret transmission line predictions, specifications, and/or measurements (s-parameters are included)
    • Determine transmission line quantities (voltage, current, impedance, power, reflection coefficient, and VSWR) as a function of position and/or frequency
    • Explain antenna and link properties in terms of electromagnetic field principles and concepts
    • Determine first order link performance via the Friis equation

    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
    • Transmission lines, Smith charts, and scattering parameters
    • Plane waves, antennas, and links
    • EMI and signal integrity

    Laboratory Topics
    • Laboratory safety (LMP), laboratory documentation, and magnetic circuits
    • Mutual inductor characteristics
    • Vector network analyzer - introduction
    • Low frequency coupling of circuits
    • Insertion loss measurements
    • Reflection measurements
    • Distance effects in transmission and reflection
    • Component characterization
    • Electromagnetic interference measurements (interactive demonstration)
    • Horn antenna link

    Coordinator
    Dr. Robert Strangeway
  
  • 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 3910B  or CE 2812  or EE 2905 )
    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
    Dr. 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  or equivalent and PH 2021 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • 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
    • 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
    Dr. 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
    • Design a state-feedback controller for a system in state-space representation

    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: modeling of electromechanical systems and time-domain response analysis
    • Block diagram system analysis
    • Stability analysis via Routh-Hurwitz criterion
    • Steady-state error analysis
    • Root-locus analysis
    • Root-locus design: phase-lead, phase-lag, PID controller designs
    • State-space analysis: conversions to and from transfer functions, stability and steady-state error
    • State-space controller design
    • Reviews and examinations

    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
    • Analog feedback control design project
    • Error-improving velocity feedback control design project
    • Phase-lead compensated position control design
    • Introduction to state-space control

    Coordinator
    Dr. Jennifer Bonniwell
  
  • 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
    • 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
    Dr. 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 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
    Dr. 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
    • Design techniques for combinational and sequential digital circuits
    • Familiarity with a procedural programming language

    Course Topics
    • Review the combinational logic design process
    • Review the sequential logic design process
    • Bidirectional bus interfacing
    • Algorithmic State Machine specification
    • VGA interfacing
    • External peripheral interfacing
    • Timing closure
    • Design partitioning
    • Design of digital systems as Data Path and Control Unit
    • Design of a CPU as an example of a digital system - audio codec interfacing to NIOS processor
    • Debugging

    Laboratory Topics
    • Bidirectional bus interfaces
    • Timing closure
    • Soft processor interfaces
    • Finite 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
    Dr. Kerry Widder
  
  • 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 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
    Dr. Cory Prust
  
  • 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 3102 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
    Dr. Richard Kelnhofer
  
  • 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 3112 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  
    • Design of operational amplifier circuits 

    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
    Dr. Steve Holland
  
  • 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
    Dr. Luke Weber
  
  • EE 4240 - Software-Defined Radio

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course introduces students to fundamental topics involving software-defined radio and their application to modern wireless systems. Software-defined radios provide a flexible hardware platform in which a wide range of wireless systems can be prototyped and implemented in software.  Course topics include an overview of transceiver architectures, underlying analog and digital subsystems, and digital signal processing algorithms typically used in software-defined radios.  Hands-on laboratory experiences will utilize modern software radio hardware and will examine solutions to practical issues that impact the feasibility and performance a wireless digital communication system.  At the conclusion of the course, students will have constructed a fully functional software-based digital transceiver.  (prereq: EE 3221 , EE 4022 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify the architecture of a modern software-defined radio system
    • Explain the advantages, limitations, and design trade-offs of the underlying analog and digital subsystems of a software-defined radio
    • Perform link budget calculations for a software defined radio system given parameters of the communication link
    • Analyze communication signals and systems using I/Q and complex-baseband models
    • Explain the design challenges associated with building digital wireless communication links
    • Implement the optimum receiver structure for digital transmission through an additive white Gaussian noise channel
    • Implement software-based solutions for non-ideal phenomena impacting digital wireless communication systems such as multi-path propagation, synchronization, and channel equalization
    • Implement an end-to-end wireless data transceiver capable of performing over-the-air digital transmission

    Prerequisites by Topic
    • Linear-Time Invariant system analysis
    • Fourier transforms
    • Sampling theorem, sampled spectra, and aliasing
    • Amplitude, frequency and phase modulation
    • Basic digital communications
    • Students should be comfortable with MATLAB/Simulink

    Course Topics
    • Introduction to software-defined radio
    • SDR system architectures
    • Multi-rate signal processing
    • Link budgets for digital communication systems
    • Elements of a digital communication transceiver
    • Non-ideal effects and software-based solutions

    Laboratory Topics
    • SDR hardware and software support package installation
    • I/Q signaling and complex-baseband
    • Efficient downconversion and sampling rate conversion
    • Signal to noise ratio, spectrum plots, link budget
    • Channel fading
    • Carrier recovery
    • Pulse shaping, eye diagrams, matched ltering
    • Fully functional digital transceiver

    Coordinator
    Dr. Cory J. Prust
  
  • 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
    Dr. 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 fields 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 radiation patterns and polarization
    • Baluns
    • Linear antenna arrays
    • Basic propagation and communication system links

    Coordinator
    Dr. Steven Holland
  
  • EE 4403 - Specialty Electric Machines

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course focuses on a combination of electromechnical energy conversion, dynamic control theory, and power electronics as applied to Permanent Magnet DC and Brushless DC machines. Theoretical concepts are reinforced with simulations and physical implementations. (prereq: EE 3401 , EE 3102 , EE 3720  or equivalents, or by instructor permission)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Construct Permanent Magnetc DC (PMDC) and Brushless DC (BLDC) machine dynamic electrical system models - armature resistance and inductance, and back emf
    • Construct PMDC and BLDC machine dynamic mechanical systems using equivalent electrical model components - electromechanical torque production, friction and windage losses, and rotor inertia
    • Construct dynamic mechanical load electrical model equivalent components representing mechanical systems - work load, mechanical inertia, and energy storage (spring) load
    • Simulate dynamic torque production in PMDC and BLDC machines
    • Simulate the impact of load inertia on system response time
    • Simulate the impact of controller gains on system response time
    • Simulate pulse width modulation (PWM) as used to alter signal magnitude and frequency
    • Calculate the average and rms values of pulse width modulated signals
    • Simulate the operation of power electronic switches
    • Model and simulate dynamic speed control of PMDC and BLDC machines

    Prerequisites by Topic
    • Ohm’s law
    • Kirchoff’s current law
    • Kirchoff’s voltage law
    • Faraday’s law
    • Passive sign convention
    • Complex numbers
    • Frequency domain concepts: phasors, impedance, transfer functions
    • AC circuit analysis
    • Transformers
    • Three-phase balanced systems
    • Three-phase synchronous machines
    • Three-phase induction machines
    • Feedback control

    Course Topics
    • Permanent Magnet DC (PMDC) machines and Brushless DC (BLDC) machines
      • Construction
      • Commutation
      • Torque production
      • Dynamic electrical system models
      • Dynamic mechanical system models
    • Dynamic mechanical load models
    • Pulse width modulation (PWM)
    • Power electronics
    • Motor and control system simulations
    • Control implementation
    • Simulation software

    Laboratory Topics
    • PMDC and BLDC dynamic model development from lab tests or from data sheets
    • LTspice simulation software
    • Proportional and proportional/integral speed control simulations for PMDC and BLDC machines
    • Steady state error
    • Rise time
    • Overshoot

    Coordinator
    Dr. Luke Weber
  
  • EE 4451 - Bulk Electric System Stability and Control

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Recent Bulk Electric System disturbances are reviewed, and relevant stability issues that arose are studied via dynamic power system simulations. A disturbance could be as minor as a frequency deviation resulting from the sudden loss of generation or load, or as severe as a wide area blackout. Topics include frequency and angular stability, voltage stability, protection system impacts on stability, and frequency and voltage regulation techniques. (prereq: EE 3401  or equivalent, or by instructor permission)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply N-1 operating criteria to simulated power systems
    • Simulate the impact of delayed fault clearing on system stability
    • Simulate the impact of underfrequency load shedding (UFLS) systems on system stability
    • Calculate generator governor frequency response
    • Simulate generator governor response
    • Simulate the impact of generator or load loss on system frequency
    • Calculate area control error (ACE) for a balancing authority area
    • Understand the importance of spinning and supplemental reserves
    • Simulate inductor impacts
    • Simulate capacitor impacts
    • Simulate generator impacts
    • Simulate load impacts
    • Create PV and QV curves
    • Calculate the theoretical maximum power transfer between two buses
    • Simulate loss of synchronism due to exceeding the maximum power transfer between two buses

    Prerequisites by Topic
    • Ohm’s law
    • Kirchoff’s current law
    • Kirchoff’s voltage law
    • Passive sign convention
    • Complex numbers
    • Frequency domain concepts: phasors and impedance
    • AC circuit analysis
    • Complex power
    • Three-phase balanced systems
    • Transformers
    • Synchronous machines

    Course Topics
    • Frequency control
    • Voltage control
    • N-1 operating criteria
    • Supervisory control and data acquisition (SCADA)
    • State estimators (SE) and real-time contingency analysis (RTCA)
    • Maximum power transfer – angular stability
    • Transmission system protection schemes
    • Situational awareness
    • Capacitor compensation – shunt and series
    • Inductor compensation
    • Static VAR compensation
    • Synchrophasors and FNET
    • Standing phase angles
    • Cyber attacks
    • The list of disturbance reports will change over time.

    Coordinator
    Dr. Luke Weber
  
  • EE 4480 - Electrical Power Systems Quality

    2 lecture hours 2 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
    • 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
    Dr. Rich Kelnhofer
  
  • EE 4601 - Modeling and Simulation of Dynamic Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Modern engineering projects are complex with multiple physical domains interacting with each other. This course is divided into two parts. The first half of the class will focus on using bond graphs to model multi-domain physical systems (electrical, mechanical, hydraulic, etc.), and then using the bond graph model to derive a set of state space equations for the system. In the second half of the course the students will study how the state space model can be used to describe the system’s behavior through time using simulation. Students will describe the properties and characteristics of different numerical integration methods, select an appropriate integration method for a particular model, and describe and resolve the challenges that can arise when simulating a model with multiple physical domains. At the conclusion of the course, the students will construct their own dynamic system simulator, and use it to describe the behavior of a multi-domain model. (prereq: PH 2011 EE 1910  and either EE 2070  or EE 3002B ) (coreq: MA 383 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply a generic modeling framework to model multi-domain physical systems (such as electrical, mechanical, and hydraulic domains) as state space equations
    • Design a simulation to describe dynamic system behavior across time
    • Compare and differentiate between the properties and characteristics of numerical integration methods
    • Recommend an appropriate numerical integration method to apply to a particular state-space model description
    • Recognize, describe, and resolve difficulties that arise when simulating multi-domain physical systems
    • Use dynamic system simulation software to describe the behavior of a system across time

    Prerequisites by Topic
    • Mechanical physics using calculus
    • Transient circuit analysis
    • Procedural programming

    Course Topics
    • Review state space representation and introduction to bond graphs (3 classes)
    • Electrical, mechanical translation, mechanical rotation, and hydraulic systems as bond graphs (6 classes)
    • Deriving state space equations from a bond graph (2 classes)
    • Modeling switches in various physical domains (2 classes)
    • Dynamic system simulation background (2 classes)
    • Properties of numerical integration methods (3 classes)
    • Numerical difficulties simulating multi-domain systems (4 classes)
    • Dynamic system simulation software (4 classes)
    • Exams, review and project (4 classes)

    Coordinator
    Dr. Joshua Carl
  
  • 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
    Dr. 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:
    • Gain professional work experience
    • Present both an oral and written summary of their work

    Prerequisites by Topic
    • None

    Course Topics
    • Varies with the work experience

    Coordinator
    Dr. 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:
    • Gain professional work experience
    • Present both an oral and written summary of their work

    Prerequisites by Topic
    • None 

    Course Topics
    • Vary with the work experience

    Coordinator
    Dr. 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:
    • Gain professional work experience
    • Present both an oral and written summary of their work

    Prerequisites by Topic
    • None

    Course Topics
    • Vary with the work experience

    Coordinator
    Dr. Richard Kelnhofer
  
  • EE 4930 - Advanced Embedded Systems

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course presents advanced techniques for solving problems with embedded microcontroller-based systems. Topics include Real Time Operating Systems, low power operation modes, code optimization, system response, and Finite State Machines. Laboratory work reinforces the concepts learned in the classroom and provides practical experience working with these techniques.  (prereq: EE 2920  or EE 3910B )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use a debugger to diagnose problems in source code
    • Set up tasks in a Real Time Operating System (RTOS) with appropriate priorities
    • Use semaphores and events in an RTOS to coordinate resource use between tasks
    • Utilize memory management mechanisms to dynamically control the use of memory resources
    • Interface to external devices over a serial communication channel
    • Implement a Finite State Machine (FSM) solution to an engineering problem
    • Specify an appropriate optimization level for the code in a project
    • Calculate the interrupt latency of a microcontroller
    • Utilize low power modes and sleep features in a microcontroller to minimize the system power consumption

    Prerequisites by Topic
    • Procedural programming concepts in C 
    • Practical understanding of basic microcontroller architecture and peripherals 
    • Developing and debugging programs for an embedded system 

    Course Topics
     

    • Advanced microcontroller architecture overview (1 class)
    • Peripheral overview for target system - GPIO, A/D, timers, serial communication (2 classes)
    • Stacks - purpose, structure, design considerations (1 classes)
    • Interrupt latency and system response (1 class)
    • Real Time Operating System - general features, tasks, events, semaphores, memory management, peripheral drivers (6 classes)
      • Finite State Machine (FSM) implementation using Lookup Tables (LUT) (3 classes)
      • Controlling code size/speed using compiler optimization levels (1 classes)
      • Low power modes - behavior and usage (3 classes)
      • Power management and sleep modes (2 class)

    Laboratory Topics
    • Target microcontroller peripherals
    • Finite State Machine implementation
    • Code optimization for speed or size
    • Low power modes of operation
    • Real Time Operating Systems

    Coordinator
    Dr. Kerry Widder
  
  • EE 4980 - Topics in Electrical Engineering

    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
    Dr. Sheila Ross
  
  • EE 4981 - Topics in Electrical Engineering with Laboratory

    2 lecture hours 2 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

    Laboratory Topics
    • Varies

    Coordinator
    Dr. Sheila Ross
  
  • EE 5280 - 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 or EE 5210)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Derive the radiated fields 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 radiation patterns and polarization
    • Baluns
    • Linear antenna arrays
    • Basic propagation and communication system links

    Coordinator
    Dr. Steven Holland
  
  • EE 5403 - Specialty Electric Machines

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course focuses on a combination of electromechnical energy conversion, dynamic control theory, and power electronics as applied to Permanent Magnet DC and Brushless DC machines. Theoretical concepts are reinforced with simulations and physical implementations. (prereq: EE 3401 , EE 3102 , EE 3720  or equivalents, or by instructor permission)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Construct Permanent Magnet DC (PMDC) and Brushless DC (BLDC) machine dynamic electrical system models - armature resistance and inductance, and back emf
    • Construct PMDC and BLDC machine dynamic mechanical systems using equivalent electrical model components - electromechanical torque production, friction and windage losses, and rotor inertia
    • Construct dynamic mechanical load electrical model equivalent components representing mechanical systems - work load, mechanical inertia, and energy storage (spring) load
    • Simulate dynamic torque production in PMDC and BLDC machines
    • Simulate the impact of load inertia on system response time
    • Simulate the impact of controller gains on system response time
    • Simulate pulse width modulation (PWM) as used to alter signal magnitude and frequency
    • Calculate the average and rms values of pulse width modulated signals
    • Simulate the operation of power electronic switches
    • Model and simulate dynamic speed control of PMDC and BLDC machines

    Prerequisites by Topic
    • Ohm’s law
    • Kirchoff’s current law
    • Kirchoff’s voltage law
    • Faraday’s law
    • Passive sign convention
    • Complex numbers
    • Frequency domain concepts: phasors, impedance, transfer functions
    • AC circuit analysis
    • Transformers
    • Three-phase balanced systems
    • Three-phase synchronous machines
    • Three-phase induction machines
    • Feedback control

    Course Topics
    • Permanent Magnet DC (PMDC) Machines and Brushless DC (BLDC) Machines
      • Construction
      • Commutation
      • Torque production
      • Dynamic electrical system models
      • Dynamic mechanical system models
    • Dynamic mechanical load models
    • Pulse width modulation (PWM)
    • Power electronics
    • Motor and control system simulations
    • Control implementation
    • Simulation software

    Laboratory Topics
    • PMDC and BLDC dynamic model development from lab tests or from data sheets
    • LTspice simulation software
    • Proportional and proportional/integral speed control simulations for PMDC and BLDC machines
    • Steady state error
    • Rise time
    • Overshoot

    Coordinator
    Dr. Luke Weber
  
  • EE 5451 - Bulk Electric System Stability and Control

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Recent Bulk Electric System disturbances are reviewed, and relevant stability issues that arose are studied via dynamic power system simulations. A disturbance could be as minor as a frequency deviation resulting from the sudden loss of generation or load, or as severe as a wide area blackout. Topics include frequency and angular stability, voltage stability, protection system impacts on stability, and frequency and voltage regulation techniques. (prereq: EE 3401  or equivalent, or by instructor permission)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Apply N-1 operating criteria to simulated power systems
    • Simulate the impact of delayed fault clearing on system stability
    • Simulate the impact of UnderFrequency Load Shedding (UFLS) systems on system stability
    • Calculate generator governor frequency response
    • Simulate generator governor response
    • Simulate the impact of generator or load loss on system frequency
    • Calculate area control error (ACE) for a balancing authority area
    • Understand the importance of spinning and supplemental reserves
    • Simulate inductor impacts
    • Simulate capacitor impacts
    • Simulate generator impacts
    • Simulate load impacts
    • Create PV and QV curves
    • Calculate the theoretical maximum power transfer between two buses
    • Simulate loss of synchronism due to exceeding the maximum power transfer between two buses

    Prerequisites by Topic
    • Ohm’s law
    • Kirchoff’s current law
    • Kirchoff’s voltage law
    • Passive sign convention
    • Complex numbers
    • Frequency domain concepts: phasors and impedance
    • AC circuit analysis
    • Complex power
    • Three-phase balanced systems
    • Transformers
    • Synchronous machines

    Course Topics
    • Frequency control
    • Voltage control
    • N-1 operating criteria
    • Supervisory control and data acquisition (SCADA)
    • State estimators (SE) and real-time contingency analysis (RTCA)
    • Maximum power transfer – angular stability
    • Transmission system protection schemes
    • Situational awareness
    • Capacitor compensation – shunt and series
    • Inductor compensation
    • Static VAR compensation
    • Synchrophasors and FNET
    • Standing phase angles
    • Cyber attacks
    • The list of disturbance reports will change over time

    Coordinator
    Dr. Luke Weber

English

  
  • 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: GS 1003  or GS 1030H  and senior standing) (coreq: AE 4311  for AE and CM students only)
    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
    • Defining communication
    • Presentation speaking
    • Organization
    • Audience analysis
    • Credibility
    • Non-verbal communication
    • Demonstration speech
    • Graphic techniques
    • Model-building techniques
    • Graphic problem
    • Group presentations/group dynamics
    • Selling the concept
    • Physical procedures
    • Office rehearsals
    • Presentations

    Coordinator
    Dr. Nadya Shalamova

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: sophomore 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
    • None

    Coordinator
    Dr. 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
    Dr. Richard 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
    • None

    Coordinator
    Dr. 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
    • None

    Coordinator
    Dr. 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
    Dr. Cynthia Barnicki
  
  • 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

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Elizabeth Taylor
  
  • 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

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Elizabeth Taylor
  
  • 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

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Elizabeth Taylor
  
  • 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

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Elizabeth Taylor
  
  • 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

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Elizabeth Taylor
  
  • 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
    Dr. Darrin Rothe
  
  • GE 1010 - Environmental Sustainability (ES)

    2 lecture hours 2 lab hours 3 credits
    Course Description
    Environmental Sustainability (ES) is an interdisciplinary engineering course in which students investigate and design solutions to solve real-world challenges related to clean and abundant drinking water, food supply enhancement, and renewable energy. This course has the potential to bring together a diverse group of students with interests in biology, chemistry, and/or environmental studies, and it gives students the opportunity to lead their own learning, collaborate, and gain skills needed to communicate their creative solutions. In ES, students also gain insights into the future career opportunities that exist in the areas they are exploring. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify cause, impact, and prevention for water pollution
    • Administer and analyze chemical tests to determine water pollutants
    • Examine energy use - past, present, and future
    • Explore biomanufacturing of biofuels from algae and cellulosic plant materials
    • Identify genetically modifiable plants as potential solutions to food security issues
    • Conduct molecular tests for food source Genetically Modified Organisms (GMOs)

    Prerequisites by Topic
    • None

  
  • 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
    Dr. Michael Swedish
  
  • 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 MATLAB 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
    Dr. Matt Schaefer
  
  • 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)
    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
    • Define engineering design process 
    • Problem definition
    • Design goals and specifications 
    • Design solution idea generation techniques 
    • Ethics and liability in engineering design 
    • Hazard analysis and failure analysis 
    • Design analysis
    • Design process project and presentation

    Coordinator
    Dr. 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
    • Overview of the design process with CAE (traditional versus concurrent engineering)
    • Definition of project goals, objective and constraints
    • Project conceptual design
    • CAD topics
    • Overview of the finite element (FE) method
    • Generation of a FE model from CAD (geometric) model
    • Linear structural analysis
    • Report writing methods and presentations

    Laboratory Topics
    • Statics and strength of material review of application
    • Advanced CAD topics (enhanced features, assemblies)
    • CAD geometry export and import
    • FEA analysis
    • Design presentations

    Coordinator
    Dr. Robert Rizza
  
  • GE 4200 - Advanced MATLAB Programming

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course builds upon students’ previous exposure to MATLAB and embedded systems. After completing this course, students will be able to produce professional quality GUI and embedded applications using MATLAB and Simulink. In this course, students learn to design, implement, test, and document PC and phone apps having graphical user interfaces (GUIs). Students will also learn to create MATLAB and Simulink programs that interact with hardware, communicate with other devices via serial ports and by other means, and can run outside the MATLAB environment (i.e., be compiled). In particular, serial communications with and generating code that run on embedded development systems, such as Arduino and Nucleo boards, will be covered. (prereq: sophomore standing, BE 2200 , EE 1910 , GE 3901 or ME 190  or equivalent) 
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Produce professional-quality GUI and embedded applications using MATLAB and Simulink
    • Design, implement, test, and document PC and phone apps having graphical user interfaces (GUIs)
    • Create MATLAB and Simulink programs that interact with hardware, communicate with other devices, and can run outside the MATLAB environment

    Prerequisites by Topic
    • General physics, math, and engineering skills associated with sophomore engineering student standing
    • General procedure programming concepts such as variables, selection, repetition, and file input and output
    • Previous exposure to the MATLAB programming language and environment
    • Previous exposure to C/C++ and embedded hardware.

    Course Topics
    • Cell arrays, structures and other advanced MATLAB data types
    • Standalone (compiled) MATLAB programs
    • Generating and using pseudo-random values in MATLAB
    • MATLAB programs with professional GUIs
    • MATLAB programs that send and receive information via USB connections
    • MATLAB programs that communicate with embedded processor systems (specifically Arduino and Nucleo boards)
    • Simulink embedded code generation

    Laboratory Topics
    • Reintroduction to MATLAB and command window.
    • Console and dialog box I/O
    • Handling errors & variable argument lists
    • Persistent variables & program compilation
    • Designing, creating and documenting GUIs
    • Timers and related topics
    • Serial communications
    • Embedded code generation for Arduino and Nucleo boards
    • Examinations

    Coordinator
    Dr. Charles Tritt
  
  • GE 4901 - Capstone Design I

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This is the first course in the three-course Capstone Design sequence in the Bachelor of Science in Engineering program. Working in teams, students will carry out an integrated design/realization project. (prereq: GE 3651 , GE 3650 , senior standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Formulate a proposal for an open-ended engineering design project

    Prerequisites by Topic
    • Engineering design process
    • CAD

    Course Topics
    • The design process
    • Open ended engineering design
    • Writing a design proposal

    Coordinator
    Dr. Joseph Musto
  
  • GE 4902 - Capstone Design II

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This is the second course in the three-course Capstone Design sequence in the Bachelor of Science in Engineering program. (prereq: GE 4901 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Perform a detailed engineering design
    • Write a design report
    • Make a formal design presentation

    Prerequisites by Topic
    • Engineering design process
    • CAD

    Course Topics
    • Engineering design
    • Engineering report writing

    Coordinator
    Dr. Joseph Musto
  
  • GE 4903 - Capstone Design III

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This is the third course in the three-course Capstone Design sequence in the Bachelor of Science in Engineering program. (prereq: GE 4902 )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Perform a detailed engineering design
    • Realize and evaluate a design solution
    • Write a design report
    • Make a formal design presentation

    Prerequisites by Topic
    • Engineering design process
    • CAD

    Course Topics
    • Engineering design
    • Engineering report writing
    • Engineering design presentations

    Coordinator
    Dr. Joseph Musto

Humanities, Social Science, and Communication

  
  • GS 090 - Intensive Grammar Application

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course builds on foundational grammar skills to improve common errors in academic writing and speaking. It includes the present, the past, the perfect, the future, modals and modal-like expressions, nouns and pronouns, gerunds and infinitives, noun clauses, indirect speech, the passive, relative clauses, conditionals, and connecting ideas. Emphasis is given to avoiding and identifying most common grammar usage mistakes with explicit application of target structures in writing. Students use the targeted grammar to read, write, listen to, and speak about current events.  At the end of this course, students should be better prepared to accurately use English grammatical structures to participate academic speaking and writing tasks at a university level. (prereq: recommendation by the Coordinator of ESL)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Analyze and apply English grammar rules to in and out of class activities
    • Apply knowledge of grammar to written tasks
    • Recognize, categorize, and correct grammatical errors in your own writing and the writing of others
    • Recognize grammatical structure used in current event oral and written reports
    • Lead a discussion using appropriate and targeted grammar concepts
    • Demonstrate knowledge of grammatical concepts on in-class assessments

    Coordinator
    Katherine Toske
  
  • GS 091 - Analysis of Academic Texts and Lectures

    2 lecture hours 2 lab hours 3 credits
    Course Description
    In this reading-focused class, students will be exposed to different styles of academic texts that they will encounter in the MSOE classroom, allowing for a smoother transition into higher education in the United States. They will analyze texts ranging from introductory college textbooks to academic journals. Students will work on identifying and developing their academic vocabulary, test-taking, and metacognition skills. They will also analyze the style and structure of academic lectures as they refine their note-taking and listening comprehension skills. (prereq: recommendation by the Coordinator of ESL)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify personal learning skills and study preferences
    • Use your understanding of the organization of a text and lecture to aid comprehension
    • Apply strategies to increase academic vocabulary and test-taking success
    • Determine the perspective of an author or speaker
    • Draw conclusions based on a reading or lecture
    • Take initiative in student-driven class discussions in response to academic articles and research
    • Reflect upon his or her reading and listening successes and areas for improvement
    • Finish a book of his or her choice, reflect upon the process, and share with a small group

    Prerequisites by Topic
    • None

    Course Topics
    • Module 1: Study skills and Metacognition
      • Time management and making a schedule
      • Study preferences
    • Module 2: Reading Skills
      • Analyzing parts of a textbook
      • Text organization and patterns
      • Annotating while reading
      • Critical reading
      • Analyzing and responding to a written prompt and assignment guidelines 
    • Module 3: Test-taking skills
      • Test preparation and anxiety
      • Analysis of different types of test questions 
    • Module 4: Academic journals
      • Analysis of different parts and types
      • Discussing findings
    • Module 5: Lectures and Note-taking
      • Effective note-taking strategies
      • Lecture purpose, preparation and structure
      • Understanding and using notes

    Coordinator
    Katherine Toske
  
  • GS 092 - Academic Research Paper

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course has been designed to transition students from diverse backgrounds into the world of academic research. Students are expected to produce a college-level research paper based on courses taught in North American and European Universities. Students will choose a topic, research and read a variety of academic sources, and synthesize them into an annotated bibliography. They will then craft an 8-10 page academic research paper in which they develop a thesis statement and supporting ideas, find evidence and plan their work using a formal outline. The writing process provides ample opportunity for editing, guided support, peer feedback and revision. Students will be trained to adhere to American Psychological Association (APA) style and to identify and avoid plagiarism in their writing. Finally, students are expected to deliver an academic/professional presentation where significant findings are presented to a selected audience with two evaluators. (prereq: recommendation by the Coordinator of ESL)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Understand and engage in the reasoning and culture of US-style research practices
    • Brainstorm and select a research topic suitable for undergraduate and professional work
    • Focus a topic to the scale of a standard undergraduate research project
    • Find, assess, and maintain a pool of academic print and electronic resources related to research area
    • Synthesize authentic academic material to compose an annotated bibliography
    • Craft an arguable thesis that effectively indicates the scope of entire work and allows for concrete development
    • Develop an outline that organizes Introductory and Background Material, Major and Minor Supporting elements, Explicit/Implicit Arguments and Counter-Arguments, and Conclusions, all proceeding from the original intent of the thesis statement
    • Execute various strategies for concise summarizing and accurate paraphrasing
    • Understand the role of quoted material in non-fiction work and be able to effectively incorporate quotations in writing
    • Synthesize borrowed material to support and develop Major and Minor elements
    • Write a valid research-based paper in accordance with American Psychological Association (APA) style
    • Incorporate citations and references as a result of a firm understanding of intellectual property ideals common to all developed academic communities
    • Recognize and avoid any and all forms of plagiarism
    • Present and defend work to an audience and a small panel of evaluators

    Prerequisites by Topic
    • None 

    Course Topics
    • Choosing a research topic
    • Finding, evaluating, and reading academic sources
    • Summarizing and paraphrasing
    • Synthesizing sources into an annotated bibliography
    •  APA citation and academic integrity 
    • Crafting an arguable thesis
    • Using a formal outline
    • Supporting an argument with evidence 
    • The writing process
    • Delivering an academic presentation 

    Coordinator
    Katherine Toske
  
  • GS 093 - Introduction to Primary Research and Data Analysis

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This writing-focused class will bridge students’ classroom experiences by exposing them to types of writing tasks that will be expected of them at MSOE. They will look at different types of quantitative and qualitative research and develop the capacity to analyze information as they form research questions and gather data through conducting interviews, surveys, and observations. Students will learn about the scientific method and the basic structure of lab reports, as well has how to answer a question by developing an experiment to test a hypothesis. They will also practice reporting their findings to an audience. (prereq: recommendation by the Coordinator of ESL)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Conduct primary research projects - specifically scientific experiments and field research - and report on findings in formal reports and presentations
    • Apply the scientific method to answer a research question by formulating a hypothesis, designing and conducting an experiment, measuring results, and drawing conclusions
    • Evaluate how and when to employ various forms of field research methodology, including interviews, surveys, and observations
    • Accurately describe and interpret statistics, graphics, and mathematical operations
    • Avoid producing biased or misleading research
    • Compose an abstract for an academic publication
    • Write conclusions using language of argumentation and evaluation

    Prerequisites by Topic
    • None

    Course Topics
    • Primary research and the Scientific Method
    • Experiments, measurements, and calculations
    • Scientific abstracts, presenting data, and describing change
    • Presenting findings from scientific research
    • Field research methodology
    • Making comparisons and connections and working with collected data
    • Presenting findings from field research

    Coordinator
    Katherine Toske
  
  • GS 094 - Academic Communication Skills

    4 lecture hours 0 lab hours 3 credits
    Course Description
    In this course, students will further develop their academic listening and speaking skills as they engage in critical thinking and discussions.  They will be exposed to listening material in different formats and perspectives as they work toward individual speaking opportunities and group interactions in a variety of formal and informal contexts, such as an encounter with an academic advisor or a panel discussion.  Through various structured activities, students will build their academic vocabulary and critical thinking skills, as well as their comprehension of concepts in key academic disciplines.   (prereq: recommendation by the Coordinator of ESL)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Listen actively to interviews, lectures, presentations, and panel discussions
    • Identify key facts and details while listening
    • Determine the perspective and purpose of a speaker
    • Refine note-taking skills
    • Identify problems and evaluate arguments
    • Clearly express a need or ask a question to an academic advisor or professor
    • Critique a product or service
    • Research and explain a technical subject
    • Present a project proposal
    • Deliver a well-organized academic presentation with a partner
    • Participate in a panel discussion 

    Coordinator
    Katherine Toske
  
  • GS 095 - Critical Reading

    4 lecture hours 0 lab hours 3 credits
    Course Description
    The development of critical reading skills is essential to success in post-secondary academic studies.  Critical Reading is designed to improve upon students’ standard reading skills, such as comprehension and vocabulary development, while concurrently developing their higher-order critical thinking skills. Students will work with authentic texts on a variety of subject matters, taken from academic journals, professional and general-interest magazines, opinion columns, and websites.  Working with these texts, they will utilize skills that are fundamental to developing critical awareness.  This course also enhances students’ understanding of American culture by engaging them in the reading of classic American novels or short stories.   (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Build an understanding of critical, academic vocabulary
    • Consider place and date of text publication
    • Identify author bias and purpose
    • Evaluate the scope of research
    • Distinguish fact from opinion
    • Compare the author’s argument to alternative points of view
    • Evaluate the strength of an argument and the validity of a text
    • Critically review an article
    • Read, analyze, and discuss short stories
    • Define, locate and analyze literary elements 

    Coordinator
    Katherine Toske
  
  • GS 200H - University Scholars Capstone

    1 lecture hours 0 lab hours 0 credits
    Course Description
    The course is designed as a capstone to the University Scholars honors program.  Students will be expected to produce a thoughtful paper which allows them to reflect on their experience in the first two year of the program.  (prereq: GS 1010H , GS 1020H , GS 1030H )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Synthesize and analyze the relationship between MSOE University Scholars Honors Program coursework and the concept of “The Power of Place”
    • Further develop critical thinking skills regarding the ways that human, physical, historical, economic, cultural, and technological factors influence the choices they will makes as professionals
    • Reflect on place of servant-leadership in the MSOE University Scholars Honors Program curriculum
    • If pursued, succeed in a junior-year undergraduate research experience

    Coordinator
    Dr. Michael Carriere
  
  • GS 398 - Student Leadership Development

    2 lecture hours 0 lab hours 0 credits
    Course Description
    This course is designed to develop emerging student leaders’ leadership skillsets, provide participants with leadership learning opportunities, connect participants with other leaders for mutual learning, connect participants with their communities, helping to develop their leadership networks, and prepare participants for leadership roles in their professional and social endeavors. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Earn a Student Leadership Development Program completion certificate
    • Receive an official transcript line dedicated to the completion of the program
    • Demonstrate self-awareness as a leader
    • Identify leadership needs and develop leadership vision
    • Demonstrate integrity as a leader
    • Demonstrate effective personal interaction and communication
    • Manage leadership teams
    • Navigate political fields

    Prerequisites by Topic
    • None

    Course Topics
    • Program introduction; perform leadership self-examination
    • Week 2 Defining leadership
    • Week 3 Positive change/vision development 
    • Week 4 Positive change/vision development 
    • Week 5 Leadership integrity 
    • Week 6 Political field navigation 
    • Week 7 Interpersonal relationships and 
    • Week 8 Communication/transparency
    • Week 9 Leadership personality 
    • Week 10 Conclusion

    Coordinator
    Dr. Alicia Domack
  
  • GS 1001 - Freshman Studies I

    4 lecture hours 0 lab hours 4 credits


    Course Description
    This course emphasizes close reading of “texts,” including not only printed materials but also art, photographs, maps, film, music, and other documents. At the same time, this course requires students to shift focus from the “micro” level of a text to the “macro” level of its context in a way that allows them to understand a problem in terms of the larger system(s) of which it is part. Critical thinking skills are developed as students interpret and synthesize these “micro” and “macro” elements of text and context. Similarly, personal growth is encouraged as students make connections between course material and their own experiences, beliefs, and values. A primary course focus will be rhetorical strategies for communicating ideas clearly, concisely, and correctly. Students will engage in some form of civic activity in the form of experiential learning that involves the larger community and society outside of MSOE. Thematic subject matter varies by instructor. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate familiarity with contemporary social issues, cultural perspectives, and historical perspectives
    • Communicate information, ideas, and results via written means
    • Demonstrate aesthetic engagement through exposure to literature, philosophy, and the arts
    • Demonstrate expectations of responsible citizenship (civic engagement)
    • Demonstrate understanding of how knowledge is derived in the humanities and social sciences
    • Exercise critical thinking skills in an interdisciplinary context
    • Demonstrate understanding of basic documentation and citation of sources

     


    Course Topics
    • Introduction to the disciplines of the humanities and social sciences (2 classes)
    • Discussion of rhetorical concepts and the role of synthesis as a meaning-making tool in the humanities (2 classes) 
    • Tour of Grohmann Museum and/or other cultural institutions (1 class)
    • Student analysis and discussion of art (2 classes)
    • Classroom activities/discussions, film viewing, field trips, etc., exploring subject materials related to the selected course topic-for example, “sustainability,” “globalization,” etc. (10 classes)
    • Analysis and interpretation of assigned readings from course texts, including rhetorical analysis of texts (10 classes)
    • Discussion/exercises on research methods in the humanities and social sciences (2 classes)
    • Writing workshops (10 classes)

    Coordinator
    Dr. Katherine Wikoff

  
  • GS 1001C - Freshman Studies IC

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course emphasizes close reading of “texts,” including not only printed material but also art, photographs, maps, film, music, and other documents. At the same time, this course requires students to shift focus from the “micro” level of a text to the “macro” level of its context in a way that allows them to understand a problem in terms of the larger system(s) of which it is part. Critical thinking skills are developed as students interpret and synthesize these “micro” and “macro” elements of text and context. Similarly, personal growth is encouraged as students make connections between course material and their own experiences, beliefs, and values. A primary course focus will be rhetorical strategies for communicating ideas clearly, concisely, and correctly. Students will engage in some form of civic activity in the form of experiential learning that involves the larger community and society outside of MSOE. Thematic subject matter varies by instructor. Note: Students cannot earn credit for both GS 1001 and EN 131. Students must be enrolled in Carter Academy to take this course. (prereq: Carter Academy students only)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate familiarity with contemporary social issues, cultural perspectives, and historical perspectives
    • Communicate information, ideas, and results via written means
    • Demonstrate aesthetic engagement through exposure to literature, philosophy, and the arts
    • Demonstrate expectations of responsible citizenship (civic engagement)
    • Demonstrate understanding of how knowledge is derived in the humanities and social sciences
    • Exercise critical thinking skills in an interdisciplinary context
    • Demonstrate understanding of basic documentation and citation of sources

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction to the disciplines of the humanities and social sciences
    • Discussion of rhetorical concepts and the role of synthesis as a meaning-making tool in the humanities
    • Tour of Grohmann Museum and/or other cultural institutions
    • Student analysis and discussion of art
    • Classroom activities/discussions, film viewing, field trips, etc., exploring subject materials related to the selected course topic-for example, “sustainability,” “globalization,” etc.
    • Analysis and interpretation of assigned readings from course texts, including rhetorical analysis of texts
    • Discussion/exercises on research methods in the humanities and social sciences
    • Writing workshops

    Coordinator
    Dr. Michael Carriere
  
  • GS 1002 - Freshman Studies II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course introduces students to the principles of report structure and professional documentation. Students are also introduced to collaborative writing strategies and given opportunities to practice this skill. College-level research strategies are introduced, with emphasis on locating appropriate sources, evaluating sources in terms of quality and bias, and citing and documenting sources correctly. Data analysis and techniques for visual representation of data to communicate meaning effectively will also be emphasized. Student research will be focused in an area related to the thematic subject matter of their particular section. Student research projects will address specific real-world problems and opportunities in a way that situates their work within the larger civic or professional context outside of the classroom. Thematic subject matter varies by instructor. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Produce professional quality documents-specifically report structure and document design
    • Access and organize information
    • Evaluate and analyze collected information
    • Communicate information, ideas, and results effectively via visual means
    • Produce coherent collaboratively written documents
    • Demonstrate expectations of responsible citizenship (civic engagement)

    Prerequisites by Topic
    • None

    Course Topics
    • Rhetorical principles of technical communication
    • Principles of document design
    • Ethical considerations in technical communication
    • Report structure and organization
    • Research methods, working with both primary and secondary sources
    • Visual representation of data
    • Lectures, discussions, activities related to selected-topic subject material
    • Principles of effective slideshows and speaking/presentation strategies
    • Formal oral presentations with visual support
    • Collaborative writing strategies and practice
    • Writing workshops, including collaborative projects

    Coordinator
    Dr. Tammy Rice-Bailey
  
  • GS 1003 - Freshman Studies III

    4 lecture hours 0 lab hours 4 credits
    Course Description
    This course develops oral communication skills through multiple presentations and small group interactions aimed at producing confidence, poise, and fluency in speech.  Students will learn rhetorical strategies for oral communication through classroom activities and analysis of sample “texts” (speeches on video).  Multimedia visual support is emphasized, particularly the relationship between a presentation’s communication goal and the design of a its supporting visual elements.  Assignments will be based on the thematic subject matter of the particular section of the course and typically will require students to explain or persuade in varying presentation formats or to problem-solve in a group discussion.  The final project of the course is a multimedia presentation that addresses a specific problem or opportunity within the larger civic or professional context outside of the classroom.  Thematic subject matter varies by instructor. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Produce professional quality presentations - specifically visual representation within supporting materials
    • Communicate information, ideas, and results effectively via oral means
    • Apply knowledge to and formulate creative solutions to problem-solving and decision-making
    • Demonstrate expectations of responsible citizenship (civic engagement)
    • Select and use the most appropriate medium for a variety of audiences, contexts, and purposes

    Prerequisites by Topic
    • None

    Course Topics
    • Theory and rhetorical principles of oral communication
    • Audience analysis, including cultural contexts (2 classes)
    • Lectures, class discussions (ideally led by students), activities related to selected-topic subject material
    • Lab/workshop on civic project, which will be the subject of the multimedia presentation
    • Informative presentation
    • Debates or persuasive presentation
    • Small-group discussion
    • Multimedia presentation preparation and delivery

    Coordinator
    Dr. Katherine Wikoff
  
  • GS 1010H - Honors Seminar I

    4 lecture hours 0 lab hours 4 credits
    Course Description
    Students will explore the “city as text,” learning to “read” the city. Readings from humanities disciplines about the concept of “the city” are included, and film will be used as a supplement to students’ reading. Students will write papers in response to their reading and service-learning experience; the final paper will be persuasive and include research from primary and secondary sources. (prereq: enrollment in the honors program)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Write unified, coherent, emphatic, and well-organized essays that include a clear thesis and, in some form, an introduction, a body, and a conclusion
    • Understand basic rhetorical concepts, including ethos, pathos, and logos
    • Work with sources at the college level. This includes discerning quality of sources, identifying which sources are more authoritative within a given rhetorical context, avoiding plagiarism and copyright infringement through awareness of ethical and legal constraints, and incorporating sources appropriately and effectively in students’ own writing
    • Describe the concept of a “city” and become aware of issues specific to that concept
    • Display an awareness of social responsibility and interpret personal experience through a service-learning project
    • Articulate ethical issues specific to human interactions within the framework of a city
    • Demonstrate the capacity for independent thought through self-selection of paper topics, service-learning experience, and selected readings

    Prerequisites by Topic
    • None 

    Course Topics
    • Rhetorical concepts and writing instruction
    • Research methods
    • Evaluation, documentation, and incorporation of sources
    • Research/writing workshops
    • Lectures, classroom activities/discussions, and field trips exploring the concept of “The City”
    • Class discussion of assigned readings from course texts
    • Service learning
    • Lecture on art terms, class discussion/analysis of art in class
    • Museum tour, student analysis and presentations on art works
    • Student presentations of research projects

    Coordinator
    Dr. Michael Carriere
  
  • GS 1020H - Honors Seminar II

    4 lecture hours 0 lab hours 4 credits
    Course Description
    Students study the way a city functions and how people live and work together within a city. Students will research current issues in the city and select a topical area to study for the quarter. They will study raw data regarding what makes a city healthy (environmental data, safety data, etc.) related to the issues they have selected. Working in teams, they will organize public events/public hearings on selected issues, invite speakers, schedule a location, notify the media, etc. Students will write short reports related to their project topics and will write a formal proposal that a certain action be taken to solve a problem related to the selected issue. (prereq: enrollment in the honors program, and GS 1010H )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Write a variety of short reports, with an emphasis on conciseness, correctness, coherence, and contextual relevance
    • Understand and apply principles of document design
    • Develop appropriate visual representation of data
    • Analyze raw data, identify significant data points and patterns among the data, and draw conclusions regarding what the data means
    • Work with primary research sources in addition to secondary research sources
    • Write a formal proposal, including all apparatus associated with formal reports
    • Work as a member of a team to organize and manage an event
    • Demonstrate an awareness of social issues and interact with members of the local community who are involved in the process of making public policy
    • Make connections between professional training and social/civic contexts
    • Demonstrate the capacity for independent thought through self-selection of public policy issue and by proposing a solution to a problem related to that issue
    • Create a succinct slide show with well-designed slides
    • Deliver a team presentation

    Prerequisites by Topic
    • None

    Course Topics
    • Exposure to materials related to the social sciences
    • Research skills
    • Principles and techniques of various forms of written communication (including essay and memorandum)
    • Principles and techniques of various forms of oral communication (including public presentations and formal speeches)
    • Community engagement
    • Group work
    • Urban design

    Coordinator
    Dr. Michael Carriere
  
  • GS 1030H - Honors Seminar III

    4 lecture hours 0 lab hours 4 credits
    Course Description
    Students study architectural aesthetics and physical/temporal characteristics of the city. They will study art works, including music and theater, to discern patterns in the ways cities are represented in art. They will study architecture and analyze the relationships between form and function. In addition, students may study public art, its role in city life, and the discourse surrounding it. Field trips to study the aesthetics of public spaces will be included. Throughout the quarter, students will create and deliver short presentations regarding their reading and research. At the quarter’s end a poster session event, planned by students and open to the public, will present student work discussing the relationships between a city’s ethos and its aesthetics. Students will also design presentation slides and posters that are both aesthetically appealing and rhetorically effective. (prereq: enrollment in the honors program, GS 1020H )
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Articulate basic aesthetic principles, including relationships between form and function
    • Demonstrate an awareness of social/civic issues surrounding the aesthetics of designing public spaces
    • Demonstrate awareness of audience in public speaking
    • Prepare and deliver speeches and presentations
    • Design effective slides and develop well-structured slide shows
    • Work as part of a team to plan and stage a public speaking event
    • Design an effective poster and speak to multiple audiences at a poster session event

    Prerequisites by Topic
    • None 

    Course Topics
    • Lecture, class discussion, field trips on the rhetoric of public space
    • Class discussions of assigned readings from course text on architectural styles and history
    • Review of rhetorical concepts; instruction, analysis and workshops on public speaking and presentations, including student preparation of slideshow and posters
    • Student speeches/presentations
    • Small group discussions and rhetorical analysis of these discussions by classmates
    • Class discussion of assigned reading from course text on interdisciplinary creative thinking
    • Poster session presentation

    Coordinator
    Dr. Michael Carriere

Humanities

  
  • HU 299 - Global Healthcare and International Health Care Systems

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course examines worldwide health, history, healthcare delivery systems, health care practice, and professional health education as compared to the United States. Students discuss how providers, nurses, and ancillary health team members are utilized in delivering health care. This course involves an optional study abroad experience designed to assist students to integrate a global perspective related to educational preparation, health care delivery, and health care policy within an international environment. The student analyzes competencies needed to be an effective healthcare manager in a multicultural and global environment and relates to the effective management of health services in his or her community. (prereq: sophomore standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate an expanded understanding of healthcare systems in a global perspective and the main differences between the USA healthcare system and other systems around the world.
    • Describe the basic principles and characteristics that define healthcare systems and health policy issues in the international arena.
    • Explain the main characteristics and roles of international organizations.
    • Analyze the competencies and academic preparation needed to be an effective healthcare manager in a multicultural and global environment.
    • Identify the historical evolution of health care delivery and contributions from various countries.
    • Compare the health delivery models in the United States compared to other countries.
    • Identify health management strategies used in different countries and healthcare systems to mobilize, allocate, and maintain resources to improve health care status and delivery systems
    • Reflect and develop a personal view about international health care systems and how it could impact one’s future career.

    Prerequisites by Topic
    • None

    Course Topics
    • Introduction, history and principles of global health
    • Global health determinants and measurements
    • Health education, poverty, and economy
    • Elements of a health care system
    • Ethical and human rights in global healthcare
    • Culture and health
    • Environment and health
    • Nutrition and health
    • Women’s health
    • Child health
    • Noncommunicable diseases
    • Communicable disease
    • National disasters and humanitarian health
    • Professional practice and required provider education (dependent upon the country)
    • Sustainability in global health care
    • International health care systems
      • United States
      • United Kingdom
      • Mexico/Central America
      • Australia
      • Asia

    Coordinator
    Dr. Victoria Carlson-Oehlers
  
  • HU 332 - Bioethics

    3 lecture hours 0 lab hours 3 credits
    Course Description
    Bioethics is a broad interdisciplinary field encompassing consideration of the ethical significance of the practice and results of the biological sciences as well as the ethics of practice of the various health care professions. This course emphasizes ethical issues arising in health care delivery and its institutions. Topics include the nature of professional ethics; truth telling, informed consent and confidentiality; children, well-being and competence; decision-making with respect to the end of life; the ethics of reproductive technologies; and justice and access to health care. The polarity of the values of autonomy and community is a recurring theme of the course. (prereq: junior standing)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Identify ethical issues in their professional practice
    • Articulate the outlines of traditional consequentiality and deontological ethical theories
    • Articulate the nature of the demand for justification
    • Explain the requirements for the application of abstract principles to concrete situations
    • Demonstrate an understanding of the range of bioethical issues
    • Appreciate the responsiveness of bioethical thought and practice to technological and social change

    Prerequisites by Topic
    • None 

    Course Topics
    • The nature of morality
    • Responsibility
    • Utilitarianism
    • Kantian moral theory
    • Central professional values
    • Truth telling
    • Informed consent
    • Confidentiality
    • Abortion and infanticide
    • Euthanasia and assisted suicide
    • Justice in the distribution of health care
    • Human gene therapy
    • Reproductive technologies and surrogate parenting
    • Global AIDS epidemic

    Coordinator
    Dr. Jon Borowicz
  
  • HU 401 - Spanish for Nurses

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is designed to give nursing students the skills to communicate with Spanish-speaking patients in a medical setting.  Students will learn basic vocabulary and grammar associated with the medical setting while also developing cultural sensitivity.  Open only to Nursing students.  This course is not open to students whose native language is Spanish. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Use basic conversational Spanish to obtain health history from patients, provide patients with information about their condition and treatment
    • Acknowledge and be sensitive to cultural influences with interacting with patients and their families
    • Demonstrate knowledge of basic Spanish medical vocabulary and associated appropriate grammar
    • Demonstrate the ability to use coping mechanisms when vocabulary is not available or known

    Prerequisites by Topic
    • None

    Course Topics
    • Introductions
    • Numbers, dates, times
    • Biographical information
    • Body parts/systems
    • Symptoms
    • Medical history
    • Medications

    Coordinator
    Dr. Candela Marini
  
  • HU 406G - German Literature

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course focuses on the original works of major authors of German literature throughout history, including Goethe, Schiller, the Grimm Brothers, Kafka, Mann, Hesse, and Heine, among others. Texts will be read in the original German. (prereq: HU 414G , consent of instructor or department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Summarize major German authors
    • Demonstrate their understanding of intermediate German
    • Strengthen their German writing, reading and speaking skills while becoming familiar with significant German works

    Prerequisites by Topic
    • None 

    Course Topics
    • No course topics appended

    Coordinator
    Dr. Alicia Domack
  
  • HU 406S - Spanish Literature

    3 lecture hours 0 lab hours 3 credits
    Course Description
    This course focuses on the original works of major authors of Spanish and Latin American literature throughout history. Texts will be read in the original Spanish. (prereq: HU 414S , consent of department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Summarize major Spanish/Latin American authors
    • Demonstrate their understanding of intermediate Spanish
    • Strengthen their Spanish writing, reading and speaking skills while becoming familiar with significant Spanish/Latin American works

    Prerequisites by Topic
    • None 

    Course Topics
    • None

    Coordinator
    Dr. Candela Marini
  
  • HU 410CH - Chinese I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is a beginning course in Mandarin Chinese (the national standard language of the People’s Republic of China and the Republic of China (Taiwan). Students will be introduced to the basic grammar of the language as well as vocabulary useful in daily conversations. By developing elementary skills in speaking, listening to, reading and writing Mandarin Chinese, students will acquire the ability to communicate in everyday situations. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Read, write, listen, and speak basic Chinese words
    • Demonstrate an understanding of elementary Chinese grammar
    • Converse in some everyday situations
    • Know general Chinese geographical and cultural features

    Prerequisites by Topic
    • None

    Course Topics
    • No course topics appended

    Coordinator
    Dr. Alicia Domack
  
  • HU 410F - French I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The objective of this course is to provide students with a basic knowledge of the French language. The course will teach all four aspects of the learning of a foreign language: reading, writing, speaking and understanding. Particular emphasis will be laid from the very beginning on correct pronunciation. The course will start with a brief historic presentation of the origins of the French language and continue with the alphabet and spelling. Major effort will go into having the students understand the phonetic value of the French vowels. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Read and pronounce basic French words
    • Demonstrate an understanding of elementary French grammar
    • Ask simple questions in French and answer them
    • Demonstrate an understanding about French geography and some institutions

    Prerequisites by Topic
    • None 

    Course Topics
    • The French alphabet
    • Verbs
    • Nouns and articles
    • Numeral
    • Pronouns
    • Cultural aspects
    • Vocabulary
    • Reviews
    • Tests

    Coordinator
    Dr. Alicia Domack
  
  • HU 410G - German I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course teaches the basics of the German language: grammar, vocabulary, and pronunciation. Elements of German culture are also covered through reading material. Grades are determined by class participation, homework exercises, quizzes, and a comprehensive final exam. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Pronounce the standard High German correctly, especially in reading aloud
    • Converse in some everyday situations, using simple grammar
    • Demonstrate an understanding of elementary passages in German and translate these into English accurate in both grammar and meaning
    • Convert selected easy English passages into German, using the vocabulary and grammar from the course, spelling and punctuating appropriately
    • Demonstrate a basic understanding of the geography of Germany and cultural features presented

    Prerequisites by Topic
    • None

    Course Topics
    • Oral reading, pronunciation and associated spelling
    • Oral composition including everyday expressions
    • Listening practice
    • Vocabulary
    • Sentence structure
    • Nouns and articles
    • Pronouns

    Laboratory Topics
    • Listening to the audio for textbook is expected
    • Attending a designated cultural event in the community is required (example: Oktoberfest, Germanfest)
    • Drill work in class is analogous to laboratory work

    Coordinator
    Dr. Alicia Domack
  
  • HU 410I - Italian I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    The basics of the Italian language, including grammar, vocabulary, and pronunciation are covered. Elements of Italian culture are also explored. Class participation is an important part of the course. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate an understanding of the practical and fundamental skills of Italian presented in this course in reading, writing, listening and speaking with emphasis on communication
    • Use practically and creatively the target language both in and out of class
    • Have insights into the cultures of Italian-speaking people and hopefully, a greater understanding of the world and our place in it

    Prerequisites by Topic
    • None 

    Course Topics
    • No course topics appended

    Coordinator
    Dr. Alicia Domack
  
  • HU 410J - Japanese I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course teaches the basics of the Japanese language: grammar, vocabulary, and pronunciation. Elements of Japanese culture are also covered through reading material. Class participation is an important part of the course. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Read, write, listen, and speak basic Japanese words
    • Demonstrate an understanding of elementary Japanese grammar
    • Converse in some everyday situations
    • Demonstrate an understanding of general Japanese geographical and cultural features

    Prerequisites by Topic
    • None

    Course Topics
    • The Japanese sound system and HIRAGANA writing
    • Basic everyday expressions
    • Grammar: sentence structure; particle and demonstrative usage
    • Vocabulary: nouns; verbs; adjectives; questions words
    • KATAKANA writing
    • Language in culture
    • Reviews
    • Exam

    Laboratory Topics
    • Listening to the audio for the textbook is expected, and drill work in class is analogous to laboratory work (11 sessions)

    Coordinator
    Dr. Alicia Domack
  
  • HU 410S - Spanish I

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course aims to provide the student with an understanding of the basic sounds, morphology, and to a smaller extent, customs and sometimes, the civilization of the language. Through exercises and dictation, the student will be exposed to the reading, understanding, and writing of the language. The intention is to perform all these activities concurrently. A large part of the time will be devoted to class exercises. (prereq: none)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Demonstrate an understanding of the practical and fundamental skills of Spanish presented in this course in reading, writing, listening and speaking with emphasis on communication
    • Use practically and creatively the target language both in and out of class
    • Share insights into the cultures of Spanish-speaking people and hopefully, a greater understanding of the world and our place in it

    Prerequisites by Topic
    • None

    Course Topics
    • Pronunciation: cognates, vowels, diphthongs, problem consonants, the alphabet, accents and stress
    • Greetings and common expressions
    • Vocabulary: In the Spanish classroom
    • Articles and nouns
    • Adjectives
    • Punctuation and word order
    • Days of the week
    • Numbers 0-29
    • Telling Time
    • Reading: The Spanish Language and the Hispanic World
    • Vocabulary-The family
    • Subject pronouns
    • The irregular verb ser in the present tense
    • The irregular verb estar in the present tense
    • Ser vs. estar
    • The irregular verb ir in the present tense
    • Contractions
    • Reading: The Hispanic Family
    • Vocabulary: At the market
    • The present tense of regular -ar verbs
    • The present tense of regular -er, ir verbs
    • Vocabulary: Food
    • Interrogative
    • Gustar-to be pleasing (to like)
    • Reading: Hispanic Food
    • Vocabulary: The body and activities
    • The personal a
    • Verbs with irregular yo form in the present tense
    • Stem-changing verbs in the present tense
    • Stem-changing verbs with irregular yo form in the present tense
    • Numbers (30-100)
    • Reading: Hispanic life

    Coordinator
    Dr. Candela Marini
  
  • HU 411CH - Chinese II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is a continuation of HU 410CH , Chinese I. (prereq: HU 410CH  or consent of instructor or department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Read, write, listen, and speak basic Chinese words with ease
    • Demonstrate an understanding of elementary Chinese grammar
    • Converse in additional everyday situations
    • Appreciate Chinese cultural features through the language

    Prerequisites by Topic
    • None

    Course Topics
    • No course topics appended

    Coordinator
    Dr. Alicia Domack
  
  • HU 411F - French II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This is a continuation of the introductory course of the French language and culture. This second quarter will continue to provide the students with the three major elements of the course: expansion of grammar and its applications to written and spoken language. The students will learn new tenses, interrogative and negative forms of past tenses, irregular verbs; agreement between passe compose and the direct object, expansion of the vocabulary with many incursions into transportation, travel, food, hospital and time telling, expansion of the cultural background with references to the school and college system, military system, immigration and religion. In addition, the students will do exercises every day. (prereq: HU 410F  or consent of instructor or department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Combine words in simple sentences
    • Demonstrate expanded understanding of grammar
    • Translate simple sentences from English into French
    • Deepen knowledge and understanding of the French culture

    Prerequisites by Topic
    • None 

    Course Topics
    • Verbs
    • Adjectives
    • Pronouns
    • Prepositions
    • Readings
    • Cultural aspects
    • Vocabulary
    • Review
    • Tests

    Coordinator
    Dr. Alicia Domack
  
  • HU 411G - German II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is a continuation of HU 410G  German I. (prereq: HU 410G  or consent of instructor or department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Pronounce German correctly and confidently
    • Converse about additional everyday topics, using three verbs tenses in active voice
    • Translate somewhat more complicated German passages into English without misrepresenting grammar or meaning; and to do conversely for English into German, spelling and punctuating correctly
    • Enjoy the pursuit of language competence as skills develop from a firm foundation
    • Discuss issues in German life similar to those in his/her own life

    Prerequisites by Topic
    • None 

    Course Topics
    • Oral readings; pronunciation and associated spelling
    • Oral composition including everyday expressions
    • Listening practice
    • Vocabulary
    • Sentence structure
    • Pronouns
    • Adjectives
    • Verbs
    • Adverbs
    • Conjunctions
    • Cultural features
    • Tests

    Laboratory Topics
    • Listening to the audio for the textbook is expected
    • Attending and reporting on a designated cultural event in the community is required
    • In-class drill work is analogous to laboratory experience

    Coordinator
    Dr. Alicia Domack
  
  • HU 411I - Italian II

    2 lecture hours 2 lab hours 3 credits
    Course Description
    This course is a continuation of HU 410I  Italian I. (prereq: HU 410I  or consent of instructor or department chair)
    Course Learning Outcomes
    Upon successful completion of this course, the student will be able to:
    • Pronounce Italian words correctly and confidently
    • Converse about additional everyday topics
    • Translate basic Italian passages into English without misrepresenting grammar or meaning; and to do conversely for English into Italian, spelling and punctuating correctly
    • Discuss issues in Italian life similar to those in his/her own life

    Prerequisites by Topic
    • None

    Course Topics
    • None

    Coordinator
    Dr. Alicia Domack
 

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