abet syllabus ee (ece website)

ABET Syllabus EE 202

1. Course Number and Name EE 202, Introduction to Digital Logic Design

2. Credits and Contact Hours 3 credit hours, 3 contact hours per week

3. Instructor/Course Coordinator • Instructors:

Mr. Dennis Hite Dr. Timothy Boykin, Dr. Laurie Joiner Dr. Rhonda Gaede

• Course Coordinator: Dr. Rhonda Gaede 4. Textbook(s) (title, author, publisher, year)

• Digital Design : With an Introduction to the Verilog HDL, M. Morris Mano, Michael D. Ciletti, Pearson Education, 2012.

a. Supplemental Materials • EE 202 Instructor Course Handout

5. Specific Course Information

a. Catalog Description Engineering approaches to design and analysis of digital logic circuits. Boolean algebra, Karnaugh maps, design using MSI and LSI components, algorithmic state and machine design of sequential circuits.

b. Prerequisites or Co-requisites EE 100 and CPE 112.

c. Required, Elective or Selected Elective Course Required Course

6. Specific Course Goals a. Outcomes of Instruction

1. Students will be able to use Boolean algebra to analyze logic circuits. 2. Students will be able to design combinational and sequential logic circuits. 3. Students will use the Verilog hardware description language to implement

combinational and sequential logic functionality. b. Criterion 3 Outcome Addressed by this Course

In this course, the student will have to show: a) An ability to apply knowledge of mathematics, science and engineering. e) An ability to identify, formulate, and solve engineering problems. k) An ability to use the techniques, skills, and modern engineering tools in engineering practice.

7. List of Topics Covered

• Digital Systems and Binary Numbers • Boolean Algebra and Logic Gates • Gate-Level Minimization • Combinational Logic • Synchronous Sequential Logic • Registers and Counters


1. Course Number and Name EE 203, Digital Logic Design Lab

2. Credits and Contact Hours 1 credit hour, 3 contact hours per week

3. Instructor/Course Coordinator • Mr. Dennis Hite

• 4. Textbook(s) (title, author, publisher, year)

• Digital Logic Design Tutorials and Laboratory Exercises, John F. Passafiume, Michael Douglas, John Wiley & Sons Press, 1984.

a. Supplemental Material • EE 203 Supplemental Handout Packet


a. Catalog Description Experiments in applying Boolean logic concepts to digital design. The course introduces students to small-scale prototyping and simulation techniques that are used to implement and evaluate digital combinational and sequential logic designs. Course is normally taken the semester following the successful completion of EE 202.

b. Prerequisite EE 202 – Introduction to Digital Logic Design

c. Required, Elective or Selected Elective Course Required Course for EE and OPE students


1. Students will be able to reinforce the concepts presented in the Introduction to Digital Logic Design (EE 202) class through hands-on experimentation with digital logic. a. Students are required to apply two-valued Boolean Algebraic techniques

to analyze and optimize combinational and digital logic circuits. 2. Students will create simple digital designs, prototype them in the laboratory,

and verify the functionality of their designs using accepted methodologies. a. Students participate in hands-on design experiments that allow them to

develop small designs, simulate these designs, and then implement these designs. They must be able to develop an analysis criteria that will allow them to empirically determine the validity of their results in terms of how well the design realizes the desired functionality.

3. Students will be exposed to both the logical and electrical characteristics of digital designs. a. Students are required to solve small-scale engineering digital design

problems that are the basic building blocks to larger digital design problems. They are required to develop digital designs using combinational and sequential design methodologies.

4. Students will be exposed to basic design capture, simulation and FPGA based rapid prototyping methodologies. a. Students are exposed to modern digital design CAD tools such as Altera’s

Quartus II software. This CAD tool exposes students to the basic concepts of digital simulation and augments their hands-on experimentation using discrete TTL type devices. Field Programmable Gate Array rapid prototyping techniques are also demonstrated.

b. Criterion 3 Outcome Addressed by this Course

In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data. c) An ability to design a system, component, or process to meet desired needs

within realistic constraints such as economic, social, political, ethical, health, and safety, manufacturability, and sustainability.

k) An ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.


• Implementing and Testing Digital Circuits using Small Scale Digital Logic • Basic Two-Level Combinational Circuit Design • Implementation of Combinational Circuits using only one type of gate. • Logic Minimization and Expression Reduction Techniques • Multiplexors and Demultiplexors, their function and use • Binary Adders, Code Converters, Comparators, and Display Decoders • Simulation and Rapid Prototyping Techniques • Latches and Flip-Flops • Counters • State Sequencers, Controllers, and Registers. • General Sequential Logic Design • Final Design Project

ABET Syllabus EE 213 1. Course Number and Name

EE 213, Electrical Circuit Analysis I

2. Credits and Contact Hours 3 credits hours, 40 contact hours per semester

3. Instructor/Course Coordinator • Instructors: Dr. Jennifer English • Dr. Ravi Gorur • Mr. Dennis Hite

• Course Coordinator: Dr. Jennifer English •

4. Textbook(s) (title, author, publisher, year) • Electric Circuits, Nilsson and Riedel, Pearson Prentice Hall, 2014 Supplemental Materials • NA


Catalog Description Basic concepts of DC and AC circuit theory and analysis. Includes both DC and AC power (circuit elements, voltage-current characteristics for circuit elements, independent and dependent sources, Kirchoff's laws and circuit equations, source transformations, Thevenin's and Norton's theorems and superposition, introduction to operational amplifiers, introduction to sinusoidal steady-state, phasors, and impedance).

a. Prerequisites or Co-requisites Pre w/Con MA 201 and PH 112 Required, Elective or Selected Elective Course Required course


1. Student will be able to understand how to apply knowledge in mathematics and science to solve electrical circuit problems. 2. Students will be able to formulate and solve electrical circuit problems.

b. Criterion 3 Outcome Addressed by this Course a. Apply mathematics and science to solve electrical circuit problems. . e. Formulates and solves electrical circuit problems.

7. List of Topics Covered • Circuit elements • Voltage/current/power relationships of circuit elements • Kirchoff’s Laws, Nodal and Mesh analysis • Superposition and Network theorems • Charge Storage Circuit elements • Responses of first and second order circuits • Operational amplifiers


1. Course Number and Name

EE 223, Design and Modeling of Electric Circuits and Systems


3. Instructor/Course Coordinator • Instructor: Mr. Dennis Hite • Dr. Jennifer English, • Course Coordinator: Mr. Dennis Hite

4. Textbook(s) (title, author, publisher, year)

None required instructor will use class notes and online materials Supplemental Materials • NA


Catalog Description Electrical circuit and systems design and modeling. Includes using modern tools (i.e. Matlab and simulink) to design and model circuits. Introduces and reinforces engineering design principles through real physical prototyping of analog/digital systems. Prerequisites or Co-requisites EE 202 & EE 213.


1. Student will understand how to apply knowledge in mathematics and science to create functional analog/digital electrical systems. 2. Students will be introduced to the engineering design process, and understand the role played by simulation and prototyping. 3. Students will be introduced to common software design tools 4. Students will be proficient in the use of electrical test and measurement equipment

b. Criterion 3 Outcome Addressed by this Course a. Apply mathematics and science to solve electrical circuit problems. b. Provides ability to design and conduct experiments, as well as to analyze and interpret data.

e. Provides the ability to identify, formulate, and solve engineering problems.

7. List of Topics Covered § Engineering Design Process § Laboratory Equipment and Saftey § Analog/ Digital Circuitry § System Prototyping and Debugging § Software packages used in System Design, such as MATLAB,

Simulink, Multisim….


1. Course Number and Name • EE307 Electricity and Magnetism

2. Credits and Contact Hours

• 40 contact hours per semester

3. Instructor/Course Coordinator • Instructor: Maria Z. A. Pour

• Course Coordinator: Maria Z. A. Pour •

4. Textbook(s) (title, author, publisher, year) • Elements of Electromagnetics, 6th Edition, M., N. O. Sadiku Oxford University

Press, 2015.

5. Specific Course Information a. Catalog Description

Basic concepts of electrostatics, electric potential theory, electric fields and currents, fields of moving charge, magnetic fields, Maxwell's equations.

b. Prerequisites or Co-requisites EE 213 – Electrical Circuit Analysis I

c. Required, Elective or Selected Elective Course Required


1. Students will understand how to use vector analysis to solve mathematically, electrostatic and magnetostatic source excitation problems, electrostatic and magnetostatic boundary interface problems.

2. The LO of mathematics and engineering is comprised in the study of Gauss' Law, electrostatic potential, capacitance, Poisson's and Laplace's Equations, steady electric currents, Ampere's Law, Biot-Savart Law, magnetic circuits, magnetic vector potential, inductance, Faraday's Law and Maxwell's Equations.

3. Engineering learning outcomes specifically consist of the study of capacitors, inductors, resistors, power absorption and their design in different systems.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. e) An ability to identify, formulate, and solve engineering problems.

7. List of Topics Covered • Review of Vector Analysis: Orthogonal Coordinate Systems, Gradient, Curl,

Stokes' Theorem, Divergence Theorem • Electrostatic Fields: Gauss' Law, Electrostatic Potential, Capacitance,

Poisson's and Laplace's Equations • Steady Electric Currents: Current Density, Ohm's Law, Equation of

Continuity, and Kirchoff's Current Law • Magnetostatic Fields: Ampere's Law, Biot-Savart Law, Magnetic Circuits,

Magnetic Vector Potential, Inductance • Maxwell's Equations: Faraday's Law, EM Boundary Conditions, Poynting

Vector


1 Course Number and Name EE308 Electromagnetic Engineering

2 Credits and Contact Hours 40 contact hours per semester

3 Instructor/Course Coordinator • Instructor: Maria Z. A. Pour • Course Coordinator: Maria Z. A. Pour, • • Textbook(s) (title, author, publisher, year)

• Elements of Electromagnetics, 6th Edition, M., N. O. Sadiku Oxford University Press, 2015.

4 Specific Course Information a. Catalog Description

Review of Maxwell's equations, uniform plane waves in different types of media, reflection, and transmission of uniform plane waves, transmission lines, waveguides, antennas.

b. Prerequisites or Co-requisites EE 313 – Electrical Circuit Analysis II c. Required, Elective or Selected Elective Course Elective

5 Specific Course Goals

a. Outcomes of Instruction Students will understand how to solve mathematically Maxwell’s Equations to study propagation, reflection and transmission of normal and oblique, electromagnetic plane waves from a lossy material boundary transmission line theory, modal propagation in waveguides, and antenna theory. Solution of this problem in addition to mathematics, also requires scientific understanding of electromagnetic boundary conditions and understanding of properties of materials (frequency dependence of materials, for example). Engineering knowledge is required to design a Brewster angle polarizer or a radar absorbing material (RAM) layer, for example.


In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. e) An ability to identify, formulate, and solve engineering problems.

6 List of Topics Covered • Review of Maxwell's equations, boundary conditions, and Poynting theorem. • Propagation of uniform plane waves in different types of media including free

space, lossy dielectrics, and good conductors. • Reflection and transmission of uniform plane waves: Normal and oblique

incidences, total internal reflection, Brewster's angle, standing wave pattern. • Transmission lines: TEM waves on transmission lines, transmission line

equations, voltage and current distributions, VSWR, impedance calculations, and matching. Smith chart.

• Waveguides: Modes of propagation in a rectangular waveguide, dominant mode, propagating and evanescent modes, modal field and current distribution, and loss calculations.

• Antennas: Radiation of EM waves, antenna as a source problem, potential functions, antenna dipole, near and far field radiation patterns, radiation resistance, transmit-receive systems.


1. Course Number and Name EE 310 Solid State Fundamentals


3. Instructor/Course Coordinator • Instructors: Dr. Biswajit Ray • Dr. Jennifer English • Dr. Tim Boykin • Dr. Robert Lindquist

• Course Coordinator: Dr. Biswajit Ray, •

4. Textbook(s) (title, author, publisher, year) • Principles of Semiconductor Devices, Sima Dimitrijev, 2nd Ed., Oxford

University Press, 2012


Basic physical processes occurring in solids. Schrodinger equation and its applications. Energy bands and charge carriers in semiconductors, excess carriers in semiconductors, introduction to semiconductor junctions, the bipolar junction transistor, the metal-insulator- semiconductor field-effect transistors.

b. Prerequisites or Corequisites

Prerequisite: PH 113Prerequisite with concurrency: MA 238



1. The student will have an ability to apply knowledge of mathematics, science, and engineering. Be able to understand how to apply differential equation techniques to solve minority carrier diffusion equation problems in semiconductor materials and devices.

2. The student will have an ability to identify, formulate, and solve engineering. Be able to formulates and solves engineering problems using semiconductor devices problems.


In this course the student will have to show: a. An ability to apply knowledge of mathematics, science, and engineering.

e An ability to identify, formulate, and solve engineering problems. 7. List of Topics Covered

• Crystal properties of semiconductor. Schrodinger equation • Energy band and charge carriers in semiconductors • Excess carriers in semiconductors • Semiconductor P-N junction • Bipolar junction transistor. • MOSFET

ABET Syllabus EE 315 1. Course Number and Name

EE315, Introduction to Electronic Analysis and Design


3. Instructor/Course Coordinator • Instructor:; Dr Jennifer English

• Course Coordinator:, Dr. Jennifer English •

4. Textbook(s) (title, author, publisher, year) • Microelectronic Circuits, A.S. Sedra and K.C. Smith, 6th Ed., Oxford

University Press, 2010

a. Supplemental Materials • NA


a. Catalog Description Diode, bipolar transistor and FET circuit models for the design and analysis of electronic circuits. Single stage amplifier analysis and design. Computer aided design calculations, amplifier operating point design, and frequency response of single and multistage amplifiers. High frequency and low frequency designs are emphasized.

b. Prerequisites or Co-requisites Pre-requisite: EE 213



1. Student will be able to understands how to apply knowledge in mathematics and science to analyze and design electronic circuits. 2. Students will be able to formulate and solve engineering circuit problems


a) Apply mathematics and science to solve engineering circuit problems. e) Formulates and solves electronic circuit problems.

7. List of Topics Covered • Diode circuits • Bipolar Junction Transistor circuits • Field Effect Transistor circuits • Frequency Response


1. Course Number and Name EE 316, Electronic Measurements and Devices Design Lab

2. Credits and Contact Hours 1 credit hour, 3 contact hours per week

3. Instructor/Course Coordinator • Instructor: Graduate students with faculty supervision • Course Coordinator: Dr. Jennifer English •

4. Textbook(s) (title, author, publisher, year) • Microelectronic Circuits, A.S. Sedra and K.C. Smith, 6th Ed., Oxford

University Press, 2010. a. Supplemental Material • Electronic Circuits and Electronic Design Laboratory Notes. Posted on the

CanvasTM course delivery system 5. Specific Course Information

a. Catalog Description Experiments in the measurement of electronic device characteristics. Voltage, current, impedance, frequency, and waveform measurements. Design of biasing networks, small signal amplifiers and switching circuits.

b. Prerequisite with concurrency EE 315 – Introduction to Electronic Analysis and Design

c. Required, Elective or Selected Elective Course Required Course for EE and OPE students

6. Specific Course Goals

a. Outcomes of Instruction 1. Students will be able to will apply Kirchoff’s Laws and linear algebra to analyze

electronic circuits. 2. Students will employ circuit analysis, mathematics, and laboratory techniques to

design build, and analyze electronic circuits in the lab. 3. Students will write laboratory reports on electronic ciruit experiments and designs

to demonstrate proficient technical communication abilities. 4. Students will gain experience using laboratory equipment (e.g., oscilloscope,

signal generators, digital multi-meters, power supplies) to evaluate electrical and electronic circuits.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data. e) An ability to identify, formulate and solve engineering problems. g) An ability to communicate effectively. k) An ability to use the techniques, skills, and modern engineering tools

necessary for engineering practice. 7. List of Topics Covered

• Electronic Instrumentation • Electronic Circuit Analysis • Electronic Circuit Design and Characterization • Inverting and non-inverting amplifiers • Differentiator and integrators • Rectifier Circuits • AC/DC Converters • Analog Filter Design • Small signal BJTs, FETs and MOSFET amplifier circuits • Bandwidth consideration of BJTs, JETs and MOSFETs.



EE 382, Analytical Methods for Continuous Time Systems


3. Instructor/Course Coordinator • Instructor:, Dr. Tim Boykin, • ,Dr. Laurie Joiner, • Course Coordinator: Dr. Laurie Joiner


• Signal Processing & Linear Systems, B. P. Lathi, Oxford University Press, 1998.


a. Catalog Description Fourier Series, Fourier and Laplace transforms with emphasis on their physical interpretation. System representation by transfer functions and impulse response functions. Convolution integral. Transient response. Modeling and simulation.

b. Prerequisites EE 213 – Electrical Circuit Analysis I MA 238 – Applied Differential Equations MA 244 – Introduction to Linear Algebra



1. Students will be able to evaluate the Fourier series and transforms and Laplace transforms for continuous time signals.

2. Students will calculate the impulse response and transfer functions for linear systems.

3. Students will use software tools such as MATLAB and Multisim in solving engineering problems.


In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering.

e) An ability to identify, formulate, and solve engineering problems. k) An ability to use the techniques, skills, and modern engineering tools in

engineering practice. 7. List of Topics Covered

• Signal models, periodic and aperiodic signals • Energy and spectra • Convolution integral • Impulse response of a linear time invariant system • Step response of a linear time invariant system • System modeling and simulation • Frequency response function of a linear time invariant system • Fourier trigonometric series • Complex exponential Fourier series • Fourier transform and its applications • Laplace transform and its applications


1. Course Number and Name EE 383, Analytical Methods for Multivariable and Discrete Time Systems


3 credits hours, 40 hours per semester

3. Instructor/Course Coordinator • Instructor: Dr. Laurie Joiner

• Course Coordinator: Dr. Laurie Joiner •

4. Textbook(s) (title, author, publisher, year) • Signal Processing and Linear Systems by B.P. Lathi, Oxford University

Press, 2000.


Discrete time signals and systems, sampling techniques, Z and discrete Fourier transforms, multivariable systems. Introduction to digital signal processing.

b. Prerequisites or Co-requisites Prerequisite: EE 382



1. To introduce the students to the application of mathematics and science in electrical engineering through the knowledge of signals and systems.

2. To introduce students to the real-world problems in signal processing.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. e) An ability to identify, formulate, and solve engineering problems. k) An ability to use the techniques, skills, and modern engineering tools in

engineering practice.


• Discrete Signals and Systems • Sampling theory • Analog-to-digital converter • Digital-to-analog converter • Linear convolution and correlation • Discrete Fourier transform (DFT) • Fast Fourier transform (FFT) and its applications • Finite impulse response digital filters • Infinite impulse response digital filters • Multivariable discrete-time systems • Introduction to digital signal processors’ hardware


1. Course Number and Name EE 384, Digital Signal Processing Laboratory


1 credits hours, 45 lab hours per semester

3. Instructor/Course Coordinator • Instructor: Graduate students with faculty supervision • Course Coordinator: Dr. Laurie Joiner


• A DSP Primer with Applications, Ken Steiglitz, 1996 • DSP First by James McClellan and Ronald Schafer, 1998, optional • DSP using MATLAB, Proakis and Ingle, 2013, optional


Design and programming of digital processing algorithms such as DFT, FFT, IIR, and FIR filtering.

b. Prerequisites or Co-rerequisites Prerequisite: CPE 381, Prerequisite with concurrcncy: EE 383 Analytical Methods for Multivariable and

Discrete Time Systems



1. To provide hands-on ability for students manipulating signals and systems. 2. To provide student with basics of discrete time systems 3. To introduce students to modern engineering computational tools 4. To provide students with practical understanding of digital systems

b. Criterion 3 Outcome Addressed by this Course In this course, students will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data. e) An ability to identify, formulate, and solve engineering problems.

k) An ability to use the techniques, skills, and modern engineering tools in engineering practice.


• Introduction to DSP and MATLAB • Discrete time signal and systems • Sampling and reconstruction • Discrete time Fourier transform (DFT) applications and FFT algorithms • Discrete-time Fourier Transform (DTFT) • FIR and IIR filter design


1. Course Number and Name EE 385, Random Signals and Noise


3 credit hours, 40 contact hours per semester 3. Instructor/Course Coordinator

Instructor: Dr. David Pan, Course Coordinator: Dr. David Pan


• Probabilistic Methods of Signal and System Analysis, G. Cooper, C. McGillem, Third Edition. Oxford Press, 1999.


a. Catalog Description Random variables and probability description of signals. Introduction to random processes: autocorrelations, cross correlation, power spectral density. Noise analysis: thermal, shot, white, and colored. Response of electrical systems to random inputs.

b. Prerequisites or Co-requisites Prerequisite: EE 382 or CPE 381.



a. Outcomes of Instruction 1. Students will be instructed in how to identify and classify problems the

solutions of which require probabilistic theory and methods. 2. Students will be instructed in how to apply probability theory and methods to

solve problems that have non-deterministic (random) outcomes.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: e) An ability identify, formulate and solve engineering problems.

List of Topics Covered

• Introduction to Probability o Random Experiments and Events o Definitions of Probability o Conditional Probability

o Independence o Combined Experiments o Bernoulli Trials

• Random Variables o Distribution Functions o Density Functions o Mean Values and Moments o The Gaussian Random Variable o Other Probability Density Functions

• Several Random Variables o Two Random Variables o Conditional Probability o Statistical Independence o Correlation between Random Variables o Density Function of the Sum of Two Random Variables o The Characteristic Function

• Elements of Statistics o Sample Theory o The Sample Mean and Sample Variance o Sampling Distribution and Confidence Intervals

• Random Processes o Continuous and Discrete Random Processes o Deterministic and Nondeterministic Random Processes o Stationary and Nonstationary Random Processes o Ergodic and Nonergodic Random Processes

• Correlation Functions o Properties of Autocorrelation Functions o Measurement of Autocorrelation Functions o Crosscorrelation Function

• Spectral Densities o Relation of Spectral Density to the Fourier Transform o Properties of Spectral Density o Relation of Spectral Density to the Autocorrelation Function o White Noise o Cross-Spectral Density

• Response of Linear Systems to Random Inputs o Analysis in the Time Domain o Mean and Mean-Square Value of System Output o Autocorrelation Function of System Output o Crosscorrelation between Input and Output o Analysis in the Frequency Domain o Spectral Density at the System Output o Cross-Spectral Densities between Input and Output



EE-386, Introduction to Control and Robotic System

2. Credits and Contact Hours i. Credit hours, 40 contact hours per month

3. Instructor/Course Coordinator • Instructor: Dr. Yuri Shtessel • Course Coordinator: Dr. Yuri Shtessel


R. Dorf and R. Bishop, Modern Control Theory, 12th Edition , Addison-Wesley., 2011.

Supplemental Materials • EE-386 Instructor Course handouts


a. Catalog Description The basic theories and analytical techniques for modeling, analysis and control of dynamic systems. Transfer functions, block-diagrams, frequency response, stability criteria, series and feedback controller design, and digital control. Introduction to the dynamic analysis and control of robotic systems.

b. Prerequisites or Co-requisites Prerequisites CPE-381 or EE 382.



1. Students will be able to solve control problems through the application of the mathematics, science and engineering.

2. Students will be able to design and conduct experiments, analyze and interpret data.

3. Students will be able to identify, formulate, and solve engineering problems. 4. Students will be able to use contemporary issues for solving the control

problems. 5. Students will be able to use the techniques, skills, and modern engineering

tools in engineering practice.


In this course, the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data. e) An ability to identify, formulate, and solve engineering problems. j) A knowledge of contemporary issues. k) An ability to use the techniques, skills, and modern engineering tools in


7. List of Topics Covered • Overview of Modeling, Analysis and Control of Dynamical Systems -

Electrical, Mechanical, Fluid, Thermal; Regulator vs. Servo-Tracking Controllers

• Computer Simulation for the Study of Dynamical System Behavior • A Preview Example; Modeling, Analysis, Control and Simulation of a

Rocket • Review of Differential Equation Ideas and Techniques • Time-Domain Stability Criteria for Time-Invariant Linear Systems • Transfer Functions and Block-diagram Algebra • Introduction to the Root-Locus Technique and Time-Domain

Specifications • Introduction to Compensator Design in the Time-domain • Introduction to Frequency Response Ideas and Techniques • Introduction to the Robotic Systems Control Problem • Selected Short Subjects (as time permits)


1. Course Number and Name EE 401, Real-Time Digital Signal Processing

2. Credits and Contact Hours 3 credit hours, 40 contact hours per semester

3. Instructor/Course Coordinator • Instructor: Dr. David Pan,

Course Coordinator: Dr. David Pan

4. Textbook(s) (title, author, publisher, year) • Real-Time Digital Signal Processing: Implementations and Applications, 2nd

Edition. S. M. Kuo, B. H. Lee, and W. Tian. Wiley, 2006. a. Supplemental Materials

• Instructor Course Handout 5. Specific Course Information

a. Catalog Description Introduction to digital signal processor architectures, applications, assembly and high-level language programming, and development tools for implementing digital signal processing algorithms.

b. Prerequisites or Co-requisites Prerequisite: EE 383 or CPE 381

c. Required, Elective or Selected Elective Course Elective Course


Students will be able to implement digital signal processing algorithms using assembly and high-level programming languages on development platforms.

b. Criterion 3 Outcome Addressed by this Course In this course, the student will have to show: k) An ability to use the techniques, skills, and modern engineering tools

necessary for engineering practice.


• Real-Time DSP Systems • DSP Development Tools • Architectures of DSP Processors • Instruction Set of DSP Processors • Programming for DSP Processors • DSP Fundamentals • DSP Algorithm Implementation Considerations • Digital Signal Generators • Design and Implementation of Digital Filters • Selected Real-Time DSP Applications


1. Course Number and Name EE 411 Electric Power Systems

2. Credits and Contact Hours 3 credits hours, 40 contact hours per semester.

3. Instructor/Course Coordinator • Instructor: Dr. Ravi Gorur • Course Coordinator: Dr. Ravi Gorur


• Electric EnergyL An Introduction, Mohamed El-Sharakawi, CRC Press, 2012.

a. Supplemental Materials • N/A


a. Catalog Description Power generation, transmission, and distribution. Three-phase circuits and per unit analysis, load-flow studies, symmetrical components, and power systems stability.

b. Prerequisites or Co-requisites Prerequisite: EE 313

c. Required, Elective or Selected Elective Course Elective


1. Students will apply a broad range of engineering and mathematics (circuit analysis, electronics, electromagnetics, computers, control theory, linear- and non-linear algebraic tools) to power systems.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. c) An ability to design a system, component, or process to meet desired needs. e) An ability to identify, formulate, and solve engineering problems. h) The broad education necessary to understand the impact of engineering

solutions in a global and societal context.

k) An ability to use the techniques, skills, and modern engineering tools in engineering practice.


• AC circuits review • Balanced 3-phase systems • Symmetrical components • Per unit analysis • Transmission lines • Transformers • Synchronous machines • Spacecraft power systems


1. Course Number and Name EE 412, Senior Design Project in Electrical Engineering

2. Credits and Contact Hours 1, 2 or 3 credit hours, Contact Hours will depend on number of credit hours

3. Instructor/Course Coordinator • Instructor: Requesting Faculty Member ● Course Coordinator: Dr. Ravi Gorur


• TBD by Requesting Faculty Member

a. Supplemental Materials • TBD by Requesting Faculty Member


a. Catalog Description The objective of this course is to allow a student with senior standing and permission of the instructor to complete a design project under the supervision of a faculty member.

b. Prerequisites or Co-requisites

TBD by Requesting Faculty Member



TBD by Requesting Faculty Member

b. Criterion 3 Outcome Addressed by this Course TBD by Requesting Faculty Member

7. List of Topics Covered • TBD by Requesting Faculty Member. As a minimum all EE 412 projects

require a Project Final Report.


1. Course Number and Name EE 416, Electronics II


3. Instructor/Course Coordinator • Instructor: Dr. Fat Duen Ho • Course Coordinator: Dr. Fat Duen Ho


• Microelectronic Circuits, by Sedra &Smith, Oxford University Press, Dec. 2009

a. Supplemental Materials • Lecture notes


a. Catalog Description Integrated circuits and microdevices related to multistage amplifiers, oscillators, design specifications, operational amplifiers, and microcircuits. Computer simulation.

b. Prerequisites EE 313 – Electrical Circuit Analysis II EE 315 – Introduction to Electronic Analysis and Design

c. Required, Elective or Selected Elective Course Elective course


1. Students will have knowledge of the fundamentals and techniques for analysis and design of analog electronic circuits.

2. Students will be familiar with more advanced topics in amplifier design such as differential and multistage amplifiers, frequency response, feedback and analog integrated circuits, CMOS, Op-amps, etc.

3. Students will have introductory knowledge of the circuit design simulation program, SPICE, in analog electronic circuit design.

4. b. Criterion 3 Outcome Addressed by this Course

In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data.

c) An ability to design a system, component, or process to meet desired needs.


• Differential and Multistage Amplifiers • Frequency Response • Feedback • Analog Integrated Circuits


1. Course Number and Name EE 424, Introduction to Data Communication Networks


3. Instructor/Course Coordinator • Instructor: Dr. Laurie Joiner, • Course Coordinator: Dr. Laurie Joiner, •

4. Textbook(s) (title, author, publisher, year) • Modern Digital and Analog Communication Systems, 4th Ed., B. P. Lathi, Z.

Ding, Oxford University Press, 2009. 5. Specific Course Information

a. Catalog Description Overview of historic development of modern telephone and data communication system, system architecture, standards, broadband switching systems, modems, protocols, personal and mobile communications, digital modulation techniques.

b. Prerequisites EE 383 – Analytical Methods for Multivariable and Discrete Time Systems EE 385 – Random Signals and Noise

c. Required, Elective or Selected Elective Course Selected Elective Course


1. Compare various digital and analog transmission techniques and different transmission media

2. Determine sources of transmission impairments 3. Determine maximum data rates that can be obtained for a particular channel

and transmission technique 4. Develop the principles of digital data transmission 5. Discuss emerging digital communications technologies 6. Apply basic error control techniques 7. Determine the behavior of digital communication systems in the presence of

noise 8. Describe the operation of spread spectrum communications and the operation

of the cellular telephone network

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering.

List of Topics Covered

• Sampling and A/D conversion • Multiplexing • Digital transmission systems • Line coding • Performance of digital communication systems • Spread spectrum systems • Error control coding


1. Course Number and Name EE426, Communication Theory


3 Credit Hours, 40 Contact Hours 3. Instructor/Course Coordinator

• Instructor: Dr. Fat Duen Ho • Course Coordinator: Dr. Fat Duen Ho


• Principles of Communications, Sixth Edition, R. Ziemmer, W. Tranter, Wiley, 2009.

a. Supplemental Materials • Class Notes on Web: http://www.ece.uah.edu/courses/ee426/


a. Catalog Description Review of elementary signals and systems including the Hilbert transform, cross and auto correlation, power density spectrum, and the Wiener-Khintchine theorem. Butterworth and Chebyshev lowpass filters. Bandpass signals and systems. The lowpass equivalent of a bandpass signal/ system. Commonly used forms of linear and nonlinear modulation. Demodulation methods and circuits. Phase lock and frequency feedback techniques.

b. Prerequisites or Co-requisites Prerequisite: EE 382 Analytical Methods for Continuous Time Systems



a. Outcomes of Instruction 1. Students will be able to apply mathematics, science and engineering as

necessary to solve communication system problems. 2. Students will be able to apply their knowledge to solve practical problems in

the area of communication systems.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science and engineering. e) An ability to identify, formulate and solve engineering problems

k) An ability to use the techniques, skills and modern engineering tools in engineeringpractice.


• Delta, unit step functions and other commonly-used signals • Power and energy signals • Generalized Fourier series • Parseval’s theorem • Fourier transforms • Relationship of Fourier and Laplace transforms • Energy and power density spectrums • Convolution • Correlation • Systems and system attributes: linearity, time invariance, causality and BIBO

stability • Ideal lowpass, bandpass and highpass filters • Butterworth nth-order lowpass filters • Hilbert transforms • Analytic signals • Wiener Kinchine theorem • Cross correlation of a system’s input and output • Relate the autocorrelation of a system’s output to the autocorrelation of the

system’s • input • General bandpass signal and system theory • The lowpass equivalent of a bandpass signal • Symmetric bandpass signals and filters • Carrier and phase delay of a bandpass filter/system • Double sideband modulation/demodulation • Amplitude modulation/demodulation • Single sideband modulation/demodulation • Frequency and phase modulation/demodulation • Transmission bandwidth of modulated signal • Carson’s rule • Superheterodyne receiver architecture • Basic electronic oscillator applications/theory/circuits • Basic phase-locked loop applications/theory/circuits • Frequency feedback FM demodulator


1. Course Number and Name EE 436, Digital Electronics


3. Instructor/Course Coordinator • Instructor: Dr. Fat Duen Ho • Course Coordinator: Dr. Fat Duen Ho


• CMOS Digital Integrated Circuits, Sung-Mo Kang & Yusuf Leblebici, 3rd

Edition, McGraw-Hill, 2003.

a. Supplemental Materials • Lecture notes


a. Catalog Description Introduction to digital electronics. The Metal-Oxide-Semiconductor (MOS) transistor. MOS inverters: and Static Characteristics. MOS Inverter: Switching Characteristics. Combinational MOS Logic Circuits. Semiconductor Memories

b. Prerequisites EE 202 – Introduction to Digital Logic Design EE 315 – Introduction to Electronic Analysis and Design

c. Required, Elective or Selected Elective Course Elective course


1. Students will have knowledge of the fundamentals and techniques for analysis and design of digital electronic circuits.

2. Students will be familiar with MOS digital integrated circuits. 3. Students will have an introductory knowledge of the circuit-design simulation

program SPICE in digital electronic circuit design.


In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. e) An ability to identify, formulate, and solve engineering problems. g) An ability to communicate effectively

7. List of Topics Covered • MOS Transistors • Modeling of MOS Transistors Using SPICE • MOS Inverters: Static Characteristics • MOS Inverters: Switching Characteristics • Combinational MOS Logic Circuits • Semiconductor Memories


1. Course Number and Name EE-486 Introduction to Modern Control Systems

2. Credits and Contact Hours 3 credit hours, 40 contact hours per month

3. Instructor/Course Coordinator

• Instructor: Dr. Yuri Shtessel • Course Coordinator: Dr. Yuri Shtessel •

4. Textbook(s) (title, author, publisher, year) R. Dorf and R. Bishop, Modern Control Theory, 12th Edition , Addison-Wesley., 2011. Supplemental Materials

• EE-486 Instructor Course handouts 5. Specific Course Information

a. Catalog Description The basic ideas and techniques of modern control theory. Analytical techniques for modeling, analysis and control of MIMO dynamic systems. State variable description of dynamic systems. State-variable feedback control design and state observers. Kalman-filtering. Fundamentals of nonlinear systems analysis. Introduction to discrete-time system modeling, analysis and control. Basics of adaptive and optimal control. Applications to aerospace and electric power systems. b. Prerequisites or Co-requisites Prerequisites EE 386 or instructor permission. c. Required, Elective or Selected Elective Course Elective Course


1. Students will be able to solve control problems through the application of the mathematics, science and engineering.

2. Students will be able to design and conduct experiments, analyze and interpret data.

3. Students will be able to identify, formulate, and solve engineering problems. 4. Students will be able to use contemporary issues for solving the control

problems.

5. Students will be able to use the techniques, skills, and modern engineering tools in engineering practice.

b. Criterion 3 Outcome Addressed by this Course In this course, the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. b) An ability to design and conduct experiments, analyze and interpret data. e) An ability to identify, formulate, and solve engineering problems. j) A knowledge of contemporary issues. k) An ability to use the techniques, skills, and modern engineering tools in



• From Single Input Single Output (SISO) systems to Multiple Input Multiple Output (MIMO) systems

• Modeling of MIMO systems in state variable format • Linear state variable control design. Controllability. Eigenvalue placement

algorithms. • State-variable observation techniques. Luenburger Observers. Introduction to Kalman

Filtering. • Introduction to optimal control. Linear Quadratic regulator design. Minimal time

controller design • From linear systems to nonlinear systems. Multiple equilibrium points. Limit cycles.

Phase portraits. Describing function method. • Fundamentals of discrete time system and digital control. Discrete-time stability

criteria. Discrete time controller design. • Introduction to adaptive control. Disturbance observation. Controller gain adaptation. • Applications: Motor control, Robotic control, Power converter state variable control,

Launch vehicle control.


1. Course Number and Name EE 494, EE Design Projects


3. Instructor/Course Coordinator • Instructor: Mr. Dennis Hite • Course Coordinator: Mr. Dennis Hite


• Engineering Design for Electrical Engineers, Alan Wilcox, Prentice Hall, 1990

a. Supplemental Materials • EE 494 Instructor Course Handout


a. Catalog Description Design, simulation, and construction of selected interdisciplinary projects. Review of legal, economic, and ethical issues. Students work as individuals or teams under the direction of a faculty member to design, implement, test, and evaluate their projects. Oral presentation and written reports are required.

b. Prerequisites EE 308, EE 310, EE 313, EE 315, EE 383, EE 385, EE 386, CPE 323, ISE 321



1. Students will be able to prepare deliverables for an engineering design project. 2. Students will be able to solve an engineering design problem through the

application of the engineering design process. 3. Students will be able to formulate engineering design requirements. 4. Students will be able to apply engineering requirements and standards. 5. Students will able to solve a design problem as members of design teams. 6. Students will be able to identify, formulate, and solve engineering problems

through the application of the engineering design process. 7. Students will know a professional code of ethics. 8. Students will be able to prepare written deliverables for engineering design

projects.

9. Students will be able to deliver oral presentations for engineering design projects.

10. Students will be able to interpret their design solutions in global, economic, environmental, and societal context.

11. Students will know the importance of developing nontechnical, as well as technical, skills.

12. Students will know a contemporary issue. 13. Students will know how non-technical contemporary issues may affect project

outcomes. 14. Students will apply techniques, skills and tools to solve an engineering design

problem.

b. Criterion 3 Outcome Addressed by this Course In this course the student will have to show: a) An ability to apply knowledge of mathematics, science, and engineering. c) An ability to design a system, component, or process to meet desired needs

within realistic constraints such as economic, social, political, ethical, health, and safety, manufacturability, and sustainability.

d) An ability to function on multi-disciplinary teams. e) An ability to identify, formulate, and solve engineering problems. f) An understanding of professional and ethical responsibility. g) An ability to communicate effectively. h) The broad education necessary to understand the impact of engineering

solutions in a global and societal context. i) A recognition of the need for, and an ability to engage in life-long learning. j) A knowledge of contemporary issues. k) An ability to use the techniques, skills, and modern engineering tools in

engineering practice. 7. List of Topics Covered

• The Engineering Design Process • The Engineering Design Review • Professional Code of Ethics • Market Research • Patent, Product and Literature Searches • Trade-offs: Cost, Schedule and Performance • Standards and Constraints • Contemporary Issues and Life-Long Learning • Prototype and Testing • Project Summary • Project Proposal and Presentation • Preliminary Design and Presentation • Final Project Report, Presentation and Demonstration • News Article • Weekly Reports • Self-Evaluation Report

• Project Workbook

abet syllabus ee (ece website)

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