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Education
| Early Childhood–Grade 6 |
EDU 2350, EDU 5121, EDU 5122, EDU 5123, EDU 5318, EDU 5327, EDU 5331, EDU 5349, EDU 5355, EDU 5357, EDU 5358, EDU 5363, EDU 5364, EDU 5385, EDU 5386 |
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Middle (Grades 4–8) and High School (Grades 7–12)
Courses and Certification Areas
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EDU 2350, EDU 5124, EDU 5125, EDU 5126, EDU 5318, EDU 5327, EDU 5348, EDU 5349, EDU 5367, EDU 5371, EDU 5373, EDU 5374, EDU 5375, EDU 5376 |
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Elective Education Courses
(These courses are not required by the state for teacher certification.)
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EDU 2355, EDU 3301 |
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EDU 2350 - Educational Psychology
Credits: 3
This course focuses on aspects related to the learning process, such as education theories, characteristics of learners, nature and measurements of abilities, motivation, and successful classroom practice.
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EDU 2355 - Literacy and Society
Credits: 3
A structured service learning opportunity that fosters academic growth, citizenship, leadership, and civic responsibility. Readings and course activities relate to the relationship between literacy and society. Throughout the term, students tutor local elementary school students and complete related assignments.
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EDU 4099 - Full-Time Status
Credits: 0
This course provides full-time status for students placed in an internship. Students must obtain permission to enroll in this course.
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EDU 4300 - Foundations of Teaching English to Speakers of Other Languages
Credits: 3
Students will develop/analyze lesson plans in all content areas using TESOL competencies, emphasizing language concepts, acquisition, teaching and assessment strategies, and the role of culture in language acquisition.
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EDU 5000 - TEA Data Technology Certification
Credits: 0
Satisfies TEA data technology certification requirement.
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EDU 5100 - Special Topics
Credits: 1
Students work on a personalized system of instruction. Most of the work in this course is done as an independent study.
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EDU 5121 - Field Experience I: Elementary
Credits: 1
This course gives students opportunities to work in appropriate school settings and allows them to observe a functioning classroom. Includes classroom setup, environment, organization, structure, and discipline.
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EDU 5122 - Field Experience II: Elementary
Credits: 1
With a focus on special populations, this course places students in elementary school settings where they observe the teaching techniques used to help children with exceptional needs.
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EDU 5123 - Field Experience III: Elementary
Credits: 1
This course gives students opportunities to work in appropriate school settings and to plan and teach lessons. Students shadow a teacher in preparation for student teaching.
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EDU 5124 - Field Experience I: Secondary
Credits: 1
This course gives students opportunities to work in appropriate school settings and allows them to observe a functioning classroom. Includes classroom setup, environment, organization, structure, and discipline.
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EDU 5125 - Field Experience II: Secondary
Credits: 1
Places students in elementary school settings where they observe the teaching techniques used to help children with exceptional or special needs.
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EDU 5126 - Field Experience III: Secondary
Credits: 1
This course gives students opportunities to work in appropriate school settings and to plan and teach lessons. Students shadow a teacher in preparation for student teaching.
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EDU 5157 - Practicum for Teaching Early Reading and Writing
Credits: 1
Provides experience applying evidence–based principles of literacy development and learning in young children, early childhood through second grade. Requires tutoring experiences in a local school. Corequisite: EDU 5257 .
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EDU 5200 - Special Topics
Credits: 2
Students work on a personalized system of instruction. Most of the work in this course is done as an independent study.
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EDU 5257 - Methods for Teaching Early Reading and Writing
Credits: 2
Examines evidence–based principles of literacy development and learning in young children, early childhood through second grade. Focuses on designing, adapting, and evaluating beginning literacy instruction for children. Corequisite: EDU 5157 .
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EDU 5300 - Special Topics
Credits: 3
Students work on a personalized system of instruction. Most of the work in this course is done as an independent study.
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EDU 5318 - Formative/Summative Assessment
Credits: 3
Explanation and practice of formal and informal assessment strategies, the ways assessment outcomes should inform instruction, and the methods for sharing assessment outcomes with families. All assignments relate to putting assessment skills into practice in the classroom.
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EDU 5327 - Integrating Teaching and Learning
Credits: 3
Reviews the nature and design of educational activities: theory, research, practice of unit planning, and lesson planning for active learning that meets the needs of individual students.
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EDU 5330 - Integrated STEM Studies
Credits: 3
Provides elementary- and middle-grades teachers with strategies to integrate science, technology, engineering, and mathematics in their classrooms.
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EDU 5331 - Content Area Studies for Elementary School
Credits: 3
Explores science, social studies, art, music, drama, and physical education content for students EC-grade six. Also, effective teaching strategies for each content area.
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EDU 5348 - Introduction to Diverse Learners
Credits: 3
A study of diversity, multicultural concepts, and inclusion. Also, explores issues, policies, and professional practice relevant to teaching.
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EDU 5349 - Learning Environment and Professionalism: EC-12
Credits: 3
This course focuses on major issues facing teachers in establishing and maintaining a positive and productive learning environment, as well as the professional roles and responsibilities of teachers.
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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.
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EE 5342 - Principles of Medical Imaging
Credits: 3
An introduction to the physics and engineering of medical imaging technologies. It is offered at an introductory level and assumes no prior contact with the material. Covers imaging modalities of radiography (X-ray), computed tomography (CT), nuclear medicine (PET & SPECT), ultrasound (US), and magnetic resonance imaging (MRI), as well as extensions of these techniques. Focuses on the underlying physics of each modality, creation and detection of signals, signal processing, and image analysis. Prerequisites: PHYS 1304 or equivalent, MATH 3313 or equivalent.
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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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