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Education
| Early Childhood–Grade 6 |
EDU 2350 , 5121–23, 5318, 5327, 5331, 5333, 5349, 5355, 5357–58, 5363–64, 5385–86 |
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Middle (Grades 4–8) and High School (Grades 7–12)
Courses and Certification Areas
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EDU 2350 , 5124–26, 5318, 5327, EDU 5327 , 5348–49, 5367, 5371, 5373–76 |
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Elective Education Courses
(These courses are not required by the state for teacher certification.)
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EDU 2355 , 3301 |
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EDU 5355 - Teaching Mathematics in Elementary School
Credits: 3
Evaluates learning materials and teaching methods focusing on knowledge and skills required for students EC-grade six.
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EDU 5357 - Emergent Literacy
Credits: 3
This course examines principles of literacy learning in young children and predictable stages of oral language, writing, and reading development. All literacy classes require field experiences in local schools.
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EDU 5358 - Conventional Literacy
Credits: 3
Introduces theories, practices, and materials for teaching reading and/or writing in primary grades. All literacy classes require field experiences in local schools.
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EDU 5363 - Elementary Student Teaching
Credits: 3
Requires a 15-week assignment in an elementary school that has a diverse student population. Includes a seminar on campus every 2 weeks.
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EDU 5364 - Elementary Student Teaching
Credits: 3
This course requirement is a 15-week assignment in an elementary school that has a diverse student population. The course includes a seminar on campus every 2 weeks. Students are assigned an SMU supervisor who observes in the classroom at least four times a term. A portfolio is required.
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EDU 5367 - Creating Successful Classrooms
Credits: 3
Students will examine current research that promotes student-centered teaching and constructivist practices. Various teaching and learning strategies of teaching in effective classrooms will be the focus of the course.
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EDU 5371 - Content Area Methods
Credits: 3
Students refine content knowledge, methods, and strategies specific to their content area and level of certification.
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EDU 5373 - Secondary Student Teaching
Credits: 3
Requires a 15-week assignment in a middle school and/or high school that has a diverse student population. Includes a seminar on campus every 2 weeks. Students are assigned an SMU supervisor who observes in the classroom at least four times a term. A portfolio is required.
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EDU 5374 - Secondary Student Teaching
Credits: 3
Requires a 15-week assignment in a middle school and/or high school that has a diverse student population. Includes a seminar on campus every 2 weeks. Students are assigned an SMU supervisor who observes in the classroom at least four times a term. A portfolio is required.
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EDU 5375 - Internship I: High School and Middle School
Credits: 3
This course requirement is a full-year assignment as the teacher of record in a public or accredited private school. Supervision by SMU faculty is required.
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EDU 5376 - Internship II: High School and Middle School
Credits: 3
This course requirement is a full-year assignment as the teacher of record in a public or accredited private school. Supervision by SMU faculty is required.
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EDU 5385 - Internship I: EC-6
Credits: 3
This course requirement is a full-year assignment as the teacher of record in a public or accredited private school. Supervision by SMU faculty is required.
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EDU 5386 - Internship II: EC-6
Credits: 3
This course requirement is a full-year assignment as the teacher of record in a public or accredited private school. Supervision by SMU faculty is required.
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Education Policy and Leadership |
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EPL 3101 - Rediscovering Leadership
Credits: 1
Introduces first-year students to leadership opportunities at SMU and the skills they need to succeed in leadership roles.
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EPL 3301 - The American University
Credits: 3
Explores the development and organization of American colleges and universities. Examines higher education in conceptual forms from the perspective of students, faculty, and administrators.
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Electrical Engineering The third digit in a course number designator represents the subject area of the course. The following designators are used:
XX1X Electronic Materials
XX2X Electronic Devices
XX3X Quantum Electronics and Electromagnetic Theory
XX4X Biomedical Science
XX5X Network Theory and Circuits
XX6X Systems
XX7X Information Science and Communication Theory
XX8X Computers and Digital Systems
XX9X Individual Instruction, Research, Seminar and Special Project
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EE 1301 - Modern Electronic Technology
Credits: 3
A lecture and laboratory course examining a number of topics of general interest, including the fundamentals of electricity, household electricity and electrical safety, an overview of microelectronics, concepts of frequency and spectrum, the phonograph and the compact disc, bar codes, and communication by radio and TV. Designed for nontechnical students who want to be more knowledgeable. Not open to EE majors.
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EE 1350 - Introduction to Electrical Engineering
Credits: 3
Introduces contemporary electrical and electronic devices, concepts, and systems. Includes principles of engineering design; electrical components and systems such as generators, motors, relays, transistors, and integrated circuits; physical laws; signals and systems for audio and images; signal conversion and manipulation; digital logic; binary representation and coding; radio transmission; and electrical power.
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EE 2122 - EE Laboratory: Electronic Circuits I
Credits: 1
Experimental study of basic MOS and bipolar transistors in analog and digital applications. Logic gates and linear and nonlinear applications of operational amplifiers. Prerequisite: C- or better in EE 2350 . Corequisite: EE 2322 .
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EE 2170 - EE Laboratory: Design and Analysis of Signals and Systems
Credits: 1
Introduces various techniques for analyzing real signals and designing various linear time-invariant systems. Incorporates software-based simulations and actual circuit implementations, and uses Web authoring tools for the production of multimedia lab reports. Prerequisite: CSE 1341 . Corequisite: EE 2370 .
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EE 2181 - Laboratory: Digital Computer Logic
Credits: 1
Analysis and synthesis of combinational and sequential digital circuits. Basic digital computer logic circuits are designed, simulated using Verilog HDL, and implemented using DigiDesigner kit and integrated circuits. Corequisite: EE 2381 .
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EE 2190 - Sophomore Project
Credits: 1
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EE 2290 - Sophomore Project
Credits: 2
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EE 2322 - Electronic Circuits I
Credits: 3
Introduces nonlinear devices used in electronic circuits. Covers the DC and AC analysis of circuits employing diodes, bipolar junction transistors, and MOSFETs. Topics include device I-V characteristics, biasing, transfer characteristic, gain, power dissipation, and the design of amplifier circuits and logic circuits. Also, introduces SPICE simulation for DC and transient simulations. Prerequisite: C- or better in EE 2350 . Corequisite: EE 2122 .
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EE 2350 - Circuit Analysis I
Credits: 3
Analysis of resistive electrical circuits, basic theorems governing electrical circuits, power consideration, analysis of circuits with energy storage elements, and transient and sinusoidal steady–state analysis of circuits with inductors and capacitors. Corequisites: MATH 3313 , PHYS 1304 .
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EE 2370 - Design and Analysis of Signals and Systems
Credits: 3
Introduces standard mathematical tools for analyzing and designing various continuous-time signals and systems. Studies frequency domain design and analysis techniques, the Fourier and Laplace transforms, and applications such as modulation and demodulation in communications and processing of audio signals. Prerequisites: MATH 3313 , C- or better in EE 2350 . Corequisite: EE 2170 .
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EE 2381 - Digital Computer Logic
Credits: 3
Covers digital computers and information, combinational logic circuits, combinational logic design, sequential circuits (e.g., finite–state machines), registers and counters, and memory and programmed logic design. Studies design and simulation of digital computer logic circuits. Corequisite: EE 2181 .
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EE 2390 - Sophomore Project
Credits: 3
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EE 2490 - Sophomore Project
Credits: 4
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EE 3122 - EE Laboratory: Electronic Circuits II
Credits: 1
Experiments in analog electronic circuit design. Prerequisites: C- or better in EE 2122 , EE 2322 . Corequisite: EE 3322 .
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EE 3181 - EE Laboratory: Microcontrollers and Embedded Systems
Credits: 1
Fundamentals of microprocessor design, assembly language programming, and embedded system implementation. Students study a widely used family of microprocessors for microcontroller-based system design, assembly-level programming, and hardware interfacing. Prerequisites: C- or better in EE 2181 , EE 2381 . Corequisite: EE 3381 .
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EE 3190 - Junior Project
Credits: 1
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EE 3290 - Junior Project
Credits: 2
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EE 3311 - Solid-State Devices
Credits: 3
A laboratory-oriented elective course that introduces the working principles of semiconductor devices by fabricating and testing silicon MOSFET transistors and III-V based semiconductor lasers in the SMU cleanroom. Lectures explain the basic operation of diodes, bipolar transistors, field effect transistors, light-emitting diodes, semiconductor lasers, and other photonic devices. Additional lectures discuss the basics of device processing, which include photolithography, oxidation, diffusion, ion-implantation, metalization, and etching. Laboratory reports describing the fabrication and testing of devices account for a major portion of the course grade. Prerequisites: CHEM 1303 , C- or better in EE 2350 .
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EE 3322 - Electronic Circuits II
Credits: 3
Introduction to MOSFET analog electronic circuits. Provides a background for understanding modern electronic circuits such as digital-to-analog and analog-to-digital converters, active filters, switched-capacitor circuits, and phase-locked loops. Topics include MOSFET SPICE models, basic MOSFET, single-stage amplifiers, current-mirrors, differential amplifier stages, source-follower buffer stages, high-gain common-source stages, operational amplifier, frequency response, and negative feedback. Prerequisites: C- or better in EE 2122 , EE 2322 , and EE 2350 . Corequisite: EE 3122 .
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EE 3330 - Electromagnetic Fields and Waves
Credits: 3
Vector analysis applied to static electric and magnetic fields, development of Maxwell’s equations, elementary boundary-value problems, and determination of capacity and inductance. Introduction to time-varying fields, plane waves, and transmission lines. Prerequisites: EE 2350 , MATH 3302 .
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EE 3352 - Fundamentals of Electric Power Engineering
Credits: 3
Introduction to electric power generation and distribution. Topics include energy resources such as fossil, hydraulic, wind, solar, and nuclear energies. Also, three-phase power generators and transformers, and electric machines such as induction motors, synchronous generators, DC and stepper motors, and power converters. Prerequisite: EE 2350 or permission of instructor.
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EE 3360 - Statistical Methods in Electrical Engineering
Credits: 3
An introduction to probability, elementary statistics, and random processes. Topics include fundamental concepts of probability, random variables, probability distributions, sampling, estimation, elementary hypothesis testing, basic random processes, stationarity, correlation functions, power-spectral-density functions, and the effect of linear systems on such processes. Prerequisites: C- or better in EE 2170 , EE 2370 .
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EE 3372 - Introduction to Signal Processing
Credits: 3
Gives juniors a thorough understanding of the techniques needed for the analysis of discrete-time systems. Topics include Fourier methods and Z transform techniques, discrete Fourier transform, fast Fourier transform and applications, and digital filters. Prerequisites: C- or better in EE 2170 , EE 2370 .
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EE 3381 - Microcontrollers and Embedded Systems
Credits: 3
An introduction to microcontrollers and embedded systems. Students study a widely used family of microprocessors as an introduction to architecture, software, and interfacing concepts. Topics include number systems and arithmetic operations for computers, assembly and C language programming, microprocessor organization and operation, memory and I/O port interfacing, and microprocessor-based controller design. Students write, assemble, and execute embedded programs designed for various applications. Prerequisites: C- or better in EE 2381 . Corequisite: EE 3181 .
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EE 3390 - Junior Project
Credits: 3
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EE 3490 - Junior Project
Credits: 4
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EE 4090 - Senior Project
Credits: 0
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EE 4096 - Senior Thesis
Credits: 0
Prerequisite: Admission to the departmental distinction program.
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EE 4196 - Senior Thesis
Credits: 1
Prerequisite: Admission to the departmental distinction program.
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EE 4296 - Senior Thesis
Credits: 2
Prerequisite: Admission to the departmental distinction program.
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EE 4311 - Senior Design I
Credits: 3
Areas covered are tailored to the student’s area of specialization. The student chooses a specific senior design project in electrical engineering from the available projects proposed by the faculty. Depending upon the specifics of the project, each student designs, constructs, and tests a solution and then submits a formal report to the faculty in charge of the project. Prerequisites: EE 2322 , EE 3381 and EE senior standing.
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EE 4312 - Senior Design II
Credits: 3
Areas covered are tailored to the student’s area of specialization. The design project selected may be a continuation of the project undertaken in EE 4311 , a new project selected from the list of available projects offered by the faculty, or a project proposed by the student and approved by the faculty. Depending upon the specifics of the project, a team designs, constructs, and tests a solution and then submits a formal report to the faculty in charge of the project. Prerequisite: EE 4311 .
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EE 4396 - Senior Thesis
Credits: 3
Prerequisite: Admission to the departmental distinction program.
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EE 4490 - Senior Project
Credits: 4
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EE 5050 - Undergraduate Industrial Internship
Credits: 0
Represents a term of industrial work experience for noncooperative education students. Designates a student as full time for the term but carries no academic credit. Students register for the course in the same manner as for other SMU courses except that no tuition is charged. The course grade is determined by the grading of a written report by the student’s adviser at the end of the term.
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EE 5176 - Network Simulation Laboratory
Credits: 1
An introductory, hands–on course in simulations of computer networks intended to be taken simultaneously with EE 5376 or other networks courses. Lab exercises use OPNET and other simulation software to visualize network protocols and performance. Students run a number of simulation exercises, which are designed to complement classroom instruction, to set up various network models, specify protocols, and collect statistics on network performance. General familiarity with PCs is recommended. Corequisites: EE 5376 and senior standing.
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EE 5190 - Special Topics
Credits: 1
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5290 - Special Topics
Credits: 2
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5310 - Introduction to Semiconductors
Credits: 3
Studies the basic principles in physics and chemistry of semiconductors that have direct applications on device operation and fabrication. Topics include basic semiconductor properties, elements of quantum mechanics, energy band theory, equilibrium carrier statistics, carrier transport, and generation-recombination processes. Applies these physical principles to semiconductor devices. Devices studied include metal-semiconductor junctions, p n junctions, LEDs, semiconductor lasers, bipolar junction transistor, field-effect transistors, and integrated circuits. Emphasizes obtaining the governing equations of device operation based on physical properties. Prerequisite: EE 3311 .
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EE 5312 - Compound Semiconductor Devices and Processing
Credits: 3
This laboratory-oriented elective course for upper-level undergraduates and graduate students provides in-depth coverage of processing of InP- and GaAs-based devices in addition to silicon integrated circuit processing. Students without fabrication experience fabricate and characterize MOSFETs and semiconductor lasers. Students with some previous fabrication experience (such as EE 3311 ) fabricate and test an advanced device mutually agreed upon by the student(s) and instructor. Examples of such devices include high electron mobility transistors, heterojunction bipolar transistors, phase shifters, distributed Bragg reflector lasers, grating-assisted directional couplers, and semiconductor lasers from developing materials such as GaInNAs. The governing equations of photolithography, oxidation, diffusion, ion-implantation, metallization, and etching are derived from fundamental concepts. Silicon process modeling uses the CAD tool SUPREM. Optical components modeling uses the SMU-developed software WAVEGUIDE, GAIN, and GRATING. Includes peer review before final submission of a laboratory report describing the projects. Prerequisite: EE 3311 or equivalent.
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EE 5313 - Solar Cells and Applications
Credits: 3
This laboratory-oriented course explores the sun’s energy as a source of electrical power and the working principles of silicon and III-V solar cells. Covers characteristics of the sun, semiconductor properties, p n junctions, solar cell fabrication, and photovoltaic system design. Students fabricate and test silicon solar cells in the SMU cleanroom. Lectures and class discussions explain the basic operation of p-n junction diodes and solar cells along with the basics of device processing, including photolithography, oxidation, diffusion, ion implantation, metallization, and etching. Prerequisite: EE 3311 or permission of instructor.
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EE 5314 - Introduction to Microelectromechanical Systems
Credits: 3
Develops the basics for MEMS, including microactuators, microsensors, and micromotors; principles of operation; micromachining techniques (surface and bulk micromachining), IC-derived microfabrication techniques; and thin lm technologies as they apply to MEMS. Prerequisite: EE 3311 .
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EE 5321 - Semiconductor Devices and Circuits
Credits: 3
A study of the basics of CMOS integrated analog circuits design. Topics include MOSFET transistor characteristics, DC biasing, small-signal models, different amplifiers, current mirrors, single- and multi-stage electronic amplifiers, frequency response of electronic amplifiers, amplifiers with negative feedback, and stability of amplifiers. Each student completes one or more design projects by the end of the course. Prerequisites: EE 3122 , EE 3322 .
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EE 5330 - Electromagnetics: Guided Waves
Credits: 3
Application of Maxwell’s equations to guided waves. Transmission lines, plane wave propagation and reflection, hollow waveguides, dielectric waveguides, fiber optics, and cavity and dielectric resonators. Prerequisite: EE 3330 .
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EE 5332 - Electromagnetics: Radiation and Antennas
Credits: 3
Covers polarization, reflection, refraction, and diffraction of EM waves; dipole, loop, slot and reflector antennas; array analysis and synthesis; self and mutual impedance; and radiation resistance. Prerequisite: EE 3330 .
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EE 5333 - Antennas and Radio Wave Propagation for Personal Communication
Credits: 3
Covers three important aspects of telecommunications: fixed site antennas, radio wave propagation, and small antennas proximate to the body. Topics include electromagnetics fundamentals; general definitions of antenna characteristics; electromagnetic theorems for antenna applications; various antennas for cellular communications, including loop, dipole, and patch antennas; wave propagation characteristics as in earth satellite communications, radio test sites, urban and suburban paths, and multipath propagation; and radio communication systems. Prerequisite: EE 3330 .
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EE 5336 - Introduction to Integrated Photonics
Credits: 3
Covers the issues of integrated photonics, fundamental principles of electromagnetic theory, waveguides, simulation of waveguide modes, and photonic structures, with a focus on optical waveguides and numerical simulation techniques because advances in optical communications will be based on nanostructure waveguides coupled with new materials. Topics include Maxwell’s equations; slab, step index, and rectangular and graded index wave guides. Also, dispersion, attenuations, nonlinear effects, numerical methods, coupled mode theory, and extensive use of mathematical packages such as MATLAB and Mathematica. Prerequisites: C- or better in EE 3311 , EE 3330 or permission of instructor.
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EE 5340 - Biomedical Instrumentation
Credits: 3
Application of engineering principles to solving problems encountered in biomedical research. Topics include transducer principles, electrophysiology, and cardiopulmonary measurement systems. Prerequisites: C- or better in EE 2122 , EE 2322 and junior standing.
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EE 5341 - Computational Neuroscience
Credits: 3
Computational (theoretical) neuroscience is a multidisciplinary field that seeks to understand information processing in biological neural systems using mathematical models and principles. The field draws on foundations from systems theory, signal processing, and information theory to derive models that describe the functionality of biological neural systems, including encoding/decoding of information, learning, and memory. (*updated* 11/30/2017; effective Spring 2018)
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EE 5345 - Medical Signal Analysis
Credits: 3
Looks at the analysis of discrete-time medical signals and images. Topics include the design of discrete-time filters, medical imaging and tomography, signal and image compression, and spectrum estimation. The course project explores the application of these techniques to actual medical data. Prerequisite: EE 3372 .
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EE 5351 - Power System Operation and Electricity Markets
Credits: 3
An overview of power generation systems, economic operation of power systems, and electricity market operation. Introduces mathematical optimization methods used to solve practical problems in power system operation addressing economic and technical aspects of power generation and transmission. Topics include power generation characteristics; economic dispatch; unit commitment and proposed solution methodologies; the effect of transmission systems on unit commitment and economic dispatch of power systems; restructuring in power systems; power pools and bilateral contracts; pricing in electricity markets; day-ahead, real-time, and ancillary service markets; financial transmission rights; competition between market participants; congestion management; and demand response.
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EE 5352 - Power Systems Analysis
Credits: 3
Provides an overview of the power systems, including complex power calculation; theory of balanced three-phase circuits; per-unit system; transmission line characteristics for short, medium, and long lines; power flow analysis; three-phase balance fault; unbalanced fault and sequence impendences; and transient stability analysis in power systems. Prerequisites: Basic knowledge of electric power systems, fundamentals of electric power engineering (EE 3352 ) or equivalent.
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EE 5353 - Power System Planning
Credits: 3
Overview of power system planning, including basics of restructuring in power systems, reliability analysis in power systems, long-term demand forecast, power system production simulation, introduction to stochastic programming, midterm maintenance scheduling, mathematical model for generation expansion planning, transmission expansion planning, coordinated expansion planning, and other practices, such as transmission switching and demand response, which affect the expansion planning. Prerequisite: EE 5352 /EE 7352, EE 3352 , or permission of instructor.
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EE 5356 - VLSI Design and Laboratory
Credits: 3
Explores the design aspects involved in the realization of CMOS integrated circuits from device up to the register subsystem level. Addresses major design methodologies, with emphasis placed on structured, full-custom design. Also, the MOS device, CMOS inverter static characteristics, CMOS inverter dynamic characteristics, CMOS transistor fabrication technology, combination logic circuit, alternative static logic circuit, sequential logic circuit, dynamic logic circuit, propagation delay and interconnect, power dissipation and design for low power, memory device (DRAM, SRAM, ROM), electrostatic discharge protection, packaging, testing, and VLSI design flow. Students use state-of-the-art CAD tools to verify designs and develop efficient circuit layouts. Prerequisites: C- or better in EE 2181 , EE 2322 , EE 2381 .
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EE 5357 - CAE Tools For Structured Digital Design
Credits: 3
Concentrates on the use of CAE tools for the design and simulation of complex digital systems. Discusses and uses Verilog hardware description language for behavioral and structural hardware modeling. Emphasizes structured modeling and design. Design case studies include a pipelined processor, cache memory, UART, and a floppy disk controller. Prerequisites: C- or better in EE 2381 and junior standing, or permission of instructor.
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EE 5360 - Analog and Digital Control Systems
Credits: 3
Feedback control of linear continuous and digital systems in the time and frequency domain. Topics include plant representation, frequency response, stability, root locus, linear state variable feedback, and design of compensators. Prerequisite: EE 3372 .
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EE 5370 - Communication and Information Systems
Credits: 3
An introduction to communication in modulation systems in discrete and continuous time, information content of signals, and the transition of signals in the presence of noise. Also, amplitude, frequency, phase and pulse modulation, and time and frequency division multiplexing. Prerequisites: EE 3360 and EE 3372 .
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EE 5371 - Analog and Digital Filter Design
Credits: 3
Covers approximation and analog design of Butterworth, Chebyshev, and Bessel filters; basic frequency transformations for designing low-pass, band-pass, band-reject, and high-pass filters; concept of IIR digital filters using impulse-invariant and bilinear transformations; design of FIR digital filters using frequency sampling and window methods; canonical realization of IIR and FIR digital filters; wave digital filters; and an introduction to two-dimensional filters. Prerequisite: EE 3372 .
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EE 5372 - Topics in Digital Signal Processing
Credits: 3
Provides an extended coverage of processing of discrete-time signals. Reviews discrete-time signals and the analysis of systems in both the time and frequency domains. Topics include multirate signal processing, digital filter structures, filter design, and power spectral estimation. Prerequisite: EE 3372 .
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EE 5373 - DSP Programming Laboratory
Credits: 3
Utilizes a hands-on approach that focuses on the essentials of programming digital signal processors (programmable semiconductor devices used extensively in digital cellular phones, high-density disk drives, and high-speed modems) while minimizing signal processing theory. Focuses on programming the Texas Instruments TMS320C50, a fixed-point processor. Emphasizes assembly language programming, and Topics include implementation of FIR and IIR filters, the FFT, and a real-time spectrum analyzer. Recommended: Basic knowledge of discrete-time signals and digital logic systems. Prerequisite: EE 3372 .
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EE 5374 - Digital Image Processing
Credits: 3
Introduces the basic concepts and techniques of digital image processing. Topics include characterization and representation of images, image enhancement, image restoration, image analysis, image coding, and reconstruction. Prerequisite: EE 5372 .
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EE 5375 - Random Processes in Engineering
Credits: 3
An introduction to probability and stochastic processes as used in communication and control. Topics include probability theory, random variables, expected values and moments, multivariate Gaussian distributions, stochastic processes, autocorrelation and power spectral densities, and an introduction to estimation and queuing theory. Prerequisite: EE 3360 .
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EE 5376 - Introduction to Computer Networks
Credits: 3
Surveys basic topics in communication networks, with an emphasis on layered protocols and their design. Topics include OSI protocol reference model, data link protocols, local area networks, routing, congestion control, network management, security, and transport layer protocols. Network technologies include telephony, cellular, Ethernet, Internet protocol, TCP, and ATM. Assignments may include lab exercises involving computer simulations. Corequisites: EE 5176 and senior standing.
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EE 5377 - Embedded Wireless Design Laboratory
Credits: 3
A wide variety of real-world experiences in wireless communications and networking using FPGAs equipped with embedded microprocessors. Covers basic wireless concepts of scheduled and random access as well as modulation and power control via labs that enable implementation of cellular and 802.11-based wireless protocols such as TDMA, Aloha, CSMA, and CSMA/CA. Also, broader topics such as embedded programming, interrupt-driven operation, and FPGA-based design. In a course project, student teams design novel wireless protocols and carry out experiments to measure the performance. Prerequisite: C- or better in EE 3360 or equivalent, or permission of instructor.
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EE 5378 - Mobile Phone Embedded Design
Credits: 3
Students learn to develop embedded software for the most widely used smartphone platforms, with emphasis on wireless and sensing applications. Topics include user interface design such as multitouch and basic HCI design tenets, storing and fetching data with local networked systems and databases, localization via GPS and wireless signal triangulation, sensing environmental and user characteristics, networking with various wireless protocols, graphics rendering, multimedia streaming, and designing for performance (e.g., controlling memory leaks, object allocation, and multithreading). Draws from various fields, including wireless communications and networking, embedded programming, and computer architecture.
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EE 5379 - Optimization in Wireless Networks
Credits: 3
Covers a wide variety of optimization problems in the design and operation of wireless networks. Introduces basic linear programming and integer linear programming concepts and explains these concepts using examples from wired and wireless networks. Also, the basic structure and design of various wireless networks, including cellular networks (such as GSM) and wireless LANs (e.g., those based on 802.11g/n). Prerequisite: EE 2170 or equivalent, or permission of instructor.
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EE 5381 - Digital Computer Design
Credits: 3
Emphasizes design of digital systems and register transfer. Design conventions, addressing modes, interrupts, input-output, channel organization, high-speed arithmetic, and hardwired and microprogrammed control. Also, central processor organization design and memory organization. Each student completes one or more laboratory projects. Prerequisites: C- or better in EE 2181 , EE 2381 and junior standing.
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EE 5385 - Microcontroller Architecture and Interfacing
Credits: 3
Emphasizes the design of embedded systems using microcontrollers. Briefly reviews microcontroller architecture. Includes hierarchical memory systems and interfacing of memory and peripherals, industry standard bus interfaces and other applicable standards, and topics in real-time operating systems and system-level design considerations. The corequisite laboratory requires students to develop software using assembler and high-level languages. Prerequisite: CSE 3381 or EE 3181 , EE 3381 .
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EE 5387 - Digital Systems Design
Credits: 3
Modern topics in digital systems design, including the use of HDLs for circuit specification and automated synthesis tools for realization. Programmable logic devices are emphasized and used throughout the course. Includes heavy laboratory assignment content and a design project. Prerequisite: C- or better in EE 2381 or in CSE 3381 .
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EE 5390 - Special Topics
Credits: 3
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5391 - Special Topics
Credits: 3
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5392 - Special Topics
Credits: 3
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5393 - Special Topics
Credits: 3
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5395 - Special Topics
Credits: 3
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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EE 5490 - Special Topics
Credits: 4
This special topics course must have a section number associated with a faculty member. The department offers special topics courses with a range of credit hours; the last digit in the course number represents courses with different topics.
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Engineering Management, Information Systems |
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EMIS 1305 - Computing Technology: Historical and Ethical Perspectives
Credits: 3
Introduces historical and ethical implications of computer architecture, software, hardware, telecommunications, and artificial intelligence. Develops business software skills and Internet concepts for research and communication applications. Credit is not allowed for a computer science, computer engineering, or management science major or minor.
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EMIS 1307 - Information Technology for Business
Credits: 3
Focuses on the use of information technology in business; explains computer systems and component parts, terms used by technologists, and use of business software packages. No credit for EMIS majors or minors.
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EMIS 1360 - Introduction to Management Science
Credits: 3
Management science is the application of mathematical modeling and scientific principles to solve problems and improve life in society. Students learn to develop plans, manage operations, and solve problems encountered in business and government. Prerequisite: Knowledge of college-level algebra. Corequisites: MATH 1337 , CSE 1341 . Students are limited to a maximum of two enrollments in the course; medical withdrawals will be reviewed on a case by case basis.
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EMIS 2360 - Engineering Economy
Credits: 3
Evaluation of engineering alternatives by equivalent uniform annual cost, present worth, and rate-of-return analysis. Use of a computerized financial planning system. Credit not allowed for both EMIS 2360 and EMIS 8361. Prerequisites: C- or better in MATH 1337 and knowledge of introductory probability and statistics. Corequisites: MATH 1338 and CSE 1342 (must enroll in lab).
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EMIS 2375 - Cultural and Ethical Implications of Technology
Credits: 3
Explores the pervasive use of technology in today’s society, the impact of technology on daily life, and the tie between technology and ethical responsibility. Students learn how their lives are being shaped by technology and how they in turn help shape technology.
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EMIS 3150 - Ethics in Computing
Credits: 1
Computer professionals have a special responsibility to ensure ethical behavior in the design, development, and use of computers and computer networks. This course focuses on the education of the undergraduate through the study of ethical concepts and the social, legal, and ethical implications involved in computing. Issues to be studied include computer crimes, software theft, hacking and viruses, intellectual property, unreliable computers, technology issues in the workplace, and professional codes of ethics. Prerequisite: Junior standing.
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EMIS 3308 - Engineering Management
Credits: 3
Examines planning, financial analysis, organizational structures, management of the corporation (including its products, services, and people), transfer of ideas to the marketplace, and leadership skills. Credit is not allowed for both EMIS 3308 and the same course offered by another department; credit is not allowed for both EMIS 3308 and EMIS 7351. Prerequisite: Junior standing. Lyle undergraduate majors only.
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EMIS 3309 - Information Engineering
Credits: 3
Emphasizes working with data, databases, and performing and interpreting descriptive analytics in the context of contemporary, data–rich decision making environments including various engineering and management applications. Introduces the use of databases (database management systems and SQL) and discusses the functions of practical (e.g., corporate or public) data warehouses while placing a strong emphasis on formal methods of descriptive analytics including data preparation, visualization, and interpretation. Prerequisites: Junior standing; Lyle majors only; CSE 1341 , EMIS 3340 /CSE 4340 /STAT 4340 .
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EMIS 3340 - Statistical Methods for Engineers and Applied Scientists
Credits: 3
Basic concepts of probability and statistics useful in the solution of engineering and applied science problems. Topics include probability, probability distributions, data analysis, sampling distributions, estimations, and simple tests of hypothesis. Credit is not allowed for both EMIS 3340/STAT 4340 /CSE 4340 and EMIS 5370. Prerequisite: C- or better in MATH 1338 or equivalent. (*updated* 11/30/2017; effective Spring 2018)
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EMIS 3360 - Operations Research
Credits: 3
A survey of models and methods of operations research. Covers deterministic and stochastic models in a variety of areas. Credit is not allowed for both EMIS 3360 and EMIS 8360. Must enroll in lab. Prerequisite: C- or better in EMIS 1360 . Management science majors, management science minors, or math operations research specialization majors only.
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