Associate Professor Marc P. Christensen, Chair
Professors: Jerome K. Butler, Gary A. Evans, W. Milton Gosney, Alireza Khotanzad, Geoffrey Orsak, Panos E. Papamichalis, Behrouz Peikari, Mandyam D. Srinath. Associate Professors: Thomas Chen, Marc P. Christensen, Carlos E. Davila, Scott C. Douglas, James G. Dunham, Choon S. Lee, Sukumaran Nair, Mitchell A. Thornton. Assistant Professors: Ping Gui, Dinesh Rajan. Senior Lecturer: H. Charles Baker. Adjunct Faculty: Eric Bird, Madhukar Budagavi, Cheng-Chung Chen, Amitabh Dixit, Ahmed Hímimy, Hossam Hímimy, Clark Kinnaird, Richard Levine, Tae Hwan Oh, David Pearson, Jila Seraj, Gordon Sohl. Emeritus Professors: Kenneth L. Ashley, Someshwar C. Gupta, Lorn L. Howard.
The discipline of electrical engineering is at the core of today’s technology-driven society. Personal computers, computer-communications networks, integrated circuits, optical technologies, digital signal processors and wireless communications systems have revolutionized the way we live and work, and extraordinary advances in these fields are announced every day. Because today’s society truly is a technological society, graduate education in electrical engineering offers exceptional opportunities for financial security and personal satisfaction.
The department of electrical engineering at SMU offers a full complement of courses at the Master’s and Ph.D. level in communications, information technology, communication networks, digital signal processing, lasers and optoelectronics, electromagnetics and microwaves, microelectronics, VLSI design, systems and control and image processing and computer vision. The courses and curriculum are designed and continuously updated to prepare the student for engineering research, design and development at the forefront of these fields.
A professionally oriented Master’s degree in telecommunications systems is also offered through the electrical engineering department, and courses in the curriculum (designated EETS) prepare the student for leadership roles in telecommunications systems management and planning and for developing new telecommunications products, services and applications.
Master of Science in Electrical Engineering
Master of Science (Major in Telecommunications)
Doctor of Philosophy (Major in Electrical Engineering)
The SMU Electrical Engineering Department currently offers two graduate programs:
The SMU Electrical Engineering Department emphasizes the following major areas of interest:
The SMU electrical engineering department emphasizes the following major areas of interest:
1. Communications and Networking. Detection and estimation theory, digital communications, computer and communication networks, cellular communications, coding, encryption, data compression and wireless and optical communications.
2. Signal Processing and Control. Digital filter design, system identification, spectral estimation, adaptive filters, neural networks and DSP implementations. Digital image processing, computer vision and pattern recognition. Linear and nonlinear systems, robotics and computer and robot vision.
3. Computer Engineering. Electronic circuits, computer-aided design (CAD), VLSI design, neural network implementations, parallel array architectures and memory interfaces.
4. Electromagnetics and Photonics. Electromagnetic theory including microwave electronics, classical optics, metallic and dielectric wave-guides, antennas and transmission lines. Photonics including semiconductor lasers and detectors, active optical fibers and switches, integrated optics, fiber optics, photonic integrated circuits and optical backplanes.
5. Electronic Materials, Devices and Microelectronics. Fabrication and characterization of devices and materials, device physics, ultra-fast electronics and applications of the Scanning Tunneling microscope.
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy this additional requirement:
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy the following additional requirements:
The plan of study involves the following:
1. Articulation courses, if necessary, are used to prepare a student for graduate study in electrical engineering (i.e., to bring the student’s background to the required level). Students must complete any required articulation courses with a G.P.A. of 3.00 prior to entering the program.
2. All students must select a primary area and a secondary area from the areas listed below. A total of eight courses must be taken in these two areas with a minimum of four courses (12 term credit hours) in the primary area and a minimum of two courses (six term credit hours) in the secondary area.
Communication and Networking
EE 7370 Communication and Information Systems
EE 7375 Random Processes in Engineering
EE 7376 Introduction to Computer Networks
EE 7377 Wireless Communications and Lab
EE 8368 Signal Processing for Wireless Communications
EE 8370 Analog and Digital Communications
EE 8371 Information Theory
EE 8372 (CSE 8352) Cryptography and Data Security
EE 8375 Error Control Coding
EE 8376 Detection and Estimation Theory
EE 8377 Advanced Digital Communications
EE 8378 Performance Modeling and Evaluation of Computer Networks
Signal Processing and Control
EE 7345 Medical Signal Analysis
EE 7360 Analog and Digital Control Systems
EE 7362 (ME 7302) System Analysis
EE 7371 Analog and Digital Filter Design
EE 7372 Digital Signal Processing
EE 7373 DSP Programming Laboratory
EE 7374 Digital Image Processing
EE 7375 Random Processes in Engineering
EE 8364 Statistical Pattern Recognition
EE 8365 Adaptive Filters
EE 8366 Artificial Neural Networks
EE 8367 (ME 8367) Nonlinear Control
EE 8368 Signal Processing for Wireless Communications
EE 8373 Digital Speech Processing
EE 8374 Fundamentals of Computer Vision
EE 8376 Detection and Estimation Theory
EE 7340 Biomedical Instrumentation
EE 7356 VLSI Design and Lab
EE 7357 CAE Tools for Structured Digital Design
EE 7380 Logic and Design Implementation
EE 7381 Digital Computer Design
EE 7385 Microprocessors in Digital Design
EE 8356 Advanced Topics in VLSI Design
EE 8357 (CSE 8357) Design of CAD/CAE Tools
EE 8382 Digital Signal Processing Architectures
EE 8385 Microprocessor Architecture and Interfacing
Electromagnetics and Optics
EE 7332 Electromagnetics: Radiation and Antennas
EE 7333 Antennas and Radiowave Propagation for Personal Communications
EE 7336 Introduction to Integrated Photonics
EE 8322 Semiconductor Lasers
EE 8325 Optical Radiation and Detectors
EE 8331 Microwave Electronics
EE 8332 Numerical Techniques in Electromagnetics
EE 8333 Advanced Electromagnetic Theory
Electronic Materials, Devices, and Microelectronics
EE 7310 Introduction to Semiconductors
EE 7312 Semiconductor Processing Laboratory
EE 7314 (ME 7314) Introduction to Micromechanical Systems (MEMS) and Devices
EE 7321 Semiconductor Devices and Circuits
EE 8310 Electronic Processes
EE 8322 Semiconductors Lasers
EE 8325 Optical Radiation and Detectors
EE 8328 Semiconductor Devices
EE 8355 Transistor Integrated Circuits
3. Students must also take two minor courses (six term credit hours) from graduate offerings in EE, EETS, ME, CSE, ENCE, math, physics, statistics, biology, chemistry, geological sciences or business. These are completely free electives with no restrictions as to their relevance to the primary/secondary areas or to each other.
4. At least three of the EE courses (nine term credit hours) must be graduate courses numbered 8000. EETS courses do not count towards this requirement.
5. An optional Master’s thesis may be substituted for two of the eight primary/secondary courses and count toward the 8000 level requirement.
6. The student should file a degree plan of study with the help of his or her adviser as soon as possible after admission, but no later than the end of the second term after matriculation. Courses not listed on the degree plan of study should not be taken without the approval of the adviser. If the degree plan of study is altered, the student must go through the approval process again.
The department of electrical engineering offers a large number of courses in telecommunications. For students interested in this area, the department offers a telecommunications specialization under the M.S.E.E. degree program. While students in the M.S.E.E program are required to take 12 term credit hours of core courses in a primary area and can take courses outside the electrical engineering department as minor courses, students in the telecommunications specialization are required to take five core courses related to telecommunications and five elective courses.
EE 7370 Communication and Information Systems
EE 7372 Digital Signal Processing
EE 7375 Random Processes in Engineering
EE 7376 Introduction to Computer Networks
EE 8370 Analog and Digital Communications
A student may take five courses from graduate EE and EETS course offerings in the electrical engineering department, of which no more than three can be EETS courses. However, EETS 7301 and EETS 7302 cannot be used toward this degree. A thesis may be substituted for three to six term credit hours of elective coursework.
Telecommunications provides corporate management with many new opportunities for enhancing efficiency and improving profits. Rapid advances in technology and changes in the regulatory climate have made major impacts in the telecommunications industry. A host of new products, services and applications are creating alternatives in carriers, equipment and networks.
In recognition of the critical need for professional education in this field, the School of Engineering offers programs oriented toward the management of corporate communications and the design of telecommunication products and systems. This program is offered both on- and off-campus via remote delivery systems. The Master’s degree may be completed via DVD. See the “Off-Campus Education” section for more information regarding off-campus delivery systems.
This program is intended for students interested in employment with a corporate telecommunications management group or with a vendor, carrier, regulatory agency, research or consulting firm. Students who have an undergraduate degree in electrical engineering and are interested in design and implementation of telecommunications systems may find the M.S.E.E with telecom specialization more appropriate for their needs. This program leads to a professional degree and does not qualify for admission into the electrical engineering program to study toward the degree of Doctor of Philosophy (Ph.D.).
In addition to meeting the School of Engineering admission requirements for a Master of Science degree, applicants are required to satisfy these additional requirements:
1. Bachelor of Science in one of the sciences, mathematics or computer science, or in one of the engineering disciplines
2. Bachelor’s degree in liberal arts or business with additional background in differential and integral calculus and physics
3. Computer programming experience
In addition to meeting the School of Engineering degree requirements for a Master of Science degree, candidates are required to satisfy these additional requirements:
Satisfactory completion of the core curriculum encompassing three courses:
EETS 7301 Introduction to Telecommunications
EETS 7304 Internet Protocols
EETS 7315 Data Communication
Satisfactory completion of seven other courses from the list of Advanced Electives and Additional Electives below:
EETS 7302 Telecommunication Management and Regulation
EETS 7303 Fiber Optic Telecommunications
EETS 7306 Wireless, Cellular and Personal Telecommunications
EETS 7320 Digital Telecommunications Technology
EETS 8305 Telecommunications Software Design
EETS 8307 Telecommunications Network Management
EETS 8311 Intelligent Networks
EETS 8313 Internet Telephony
EETS 8315 Advanced Topics in Wireless Communication
EETS 8316 Wireless Networks
EETS 8317 Switching and QoS Management in IP Networks
EETS 8318 Wireless Internet
EETS 8319 Optical DWDM Networks
EETS 8321 Telecommunications Network Security
EETS 8322 Data Compression for Multi-Media Applications
EE 7370 Communication and Information Systems
EMIS 7370 Statistics for Engineers
EMIS 8361 Economic Decision Analysis
EMIS 8362 Engineering Accounting
EMIS 8363 Engineering Finance
EMIS 8364 Management for Engineers
The department offers a wireless concentration under the Master of Science (major in telecommunications) program. The requirements for the program are:
EETS 7301 Introduction to Telecommunications
EETS 7304 Internet Protocols
EETS 7315 Data Communications
EETS 7306 Wireless, Cellular and Personal Communications
EETS 8315 Advanced Topics in Wireless Communication
EETS 8316 Wireless Networks
EETS 8318 Wireless Internet
Any three courses from the list of advanced or additional electives
1. Master of Science degree in electrical engineering or in a closely related discipline from a U.S. college or university accredited by a regional accrediting association or completion of an international degree that is equivalent to a U.S. Master’s degree from a college or university of recognized standing
2. Excellent academic performance in all completed coursework, with a minimum G.P.A. 3.00 on a 4.00 scale
3. Submission of a complete application, including a statement of purpose, official transcripts for all previous undergraduate and graduate studies and payment of appropriate application fee
4. Official Graduate Record Examination (GRE) quantitative score of 650 or greater
5. Three letters of recommendation from individuals who can judge the applicant’s potential success as a doctoral student
6. Graduates from foreign countries are required to submit a notarized financial certification form. All international students whose native language is not English and who have not graduated from an American university must submit a minimum TOEFL score before being considered for admission:
In addition to meeting the School of Engineering requirements for the Doctor of Philosophy degree, candidates are required to satisfy the following:
The supervisory committee plays an important role in guiding the student and monitoring his or her progress at all stages of the Ph.D. program. As such, the committee should be constituted as early as possible after the student has begun doctoral work and before he or she has completed the coursework. The committee will be selected by the student in consultation with the dissertation director, who must be a member of the regular (tenure-track) faculty of the electrical engineering department.
The committee chair must be a member of the regular faculty of the department and will normally be the dissertation director. The committee must have a minimum of five members of the regular faculty of the University and will consist of at least three faculty members from the electrical engineering department (including the chair and the dissertation director, if different from the chair), as well as one member from each minor field.
The qualifying examination for admission to candidacy for the Ph.D. degree consists of both written and oral parts. The written part will be administered by the doctoral program committee of the electrical engineering department and will normally be given once each fall and spring term on dates to be announced by the committee.
The exam must be taken no later than one year after the student begins the Ph.D. program, or at the earliest time thereafter that the exam is scheduled. The exam is based on coursework in the student’s major area. A student who desires to take the written exam in any term must file a registration form with the doctoral program committee prior to the deadline specified each term. The student is required to pass the exam in one area to be chosen from the list below:
Each exam will be three hours in duration and will typically be closed-book. The determination as to whether a student has passed the written exam will be made by the doctoral program committee.
1. A student who does not pass the exam can take it a second time.
2. A student who fails the exam both times will not be permitted to continue in the Ph.D. program.
3. A student who repeats an exam must do so at the earliest possible time after the first attempt.
4. If, after passing the written exam, the student decides to change his or her research area, he or she will be required to pass another written exam in the new area.
The oral qualifying exam will be administered by the student’s supervisory committee. The exam will be taken after the student has passed the written exam and has completed most of the required coursework, but no later than one year after completing all coursework. A student who does not meet the deadline must petition the doctoral program committee for permission to take the oral exam.
The main focus of the oral exam will be on the research the student proposes to conduct for his or her dissertation. The student is expected to write up a description of the research problem, previous results and the approach or approaches he or she proposes to consider in the investigation. The write-up must be made available to the supervisory committee at least two weeks prior to the scheduled date of the exam and should clearly indicate the significance and originality of the research, the proposed approaches and the expected results.
The student will be admitted to candidacy upon passing the oral qualifying exam. A student who does not pass the oral exam may be permitted by the supervisory committee to retake it once. If, after admission to candidacy, the student decides to change his or her research area, he or she will be required to take the qualifying exam again and be readmitted to candidacy before being permitted to complete the dissertation.
Upon completion of all other requirements, the student is required to take a final examination conducted by his or her supervisory committee, in which he or she will present the dissertation. The student will notify the School of Engineering graduate division in advance of the date, time and place of the exam so that it can be publicized on campus. The student should provide copies of the complete draft version of the dissertation to the supervisory committee at least three weeks prior to the date of the final exam. It is recommended that students submit the results of their research for publication at conferences or in journals before taking the final exam.
The supervisory committee may ask questions and make comments or require changes in the dissertation to satisfy itself that the quality of the work is in keeping with the highest standards of research. If the dissertation requires substantial changes, the student should submit the revised dissertation to the supervisory committee for re-examination.
The electrical engineering department is housed in the Jerry R. Junkins Electrical Engineering Building, which opened in August 2002. The building contains teaching classrooms and laboratories, as well as space for faculty offices and the EE department staff and operations.
The department has access to the School of Engineering academic computing resources, consisting of shared use computer servers and desktop client systems connected to a network backbone. All of the servers in the School of Engineering are running some variant of UNIX or Microsoft Windows. There is one primary file server that holds 356 GB of data and exports files using FNS or CIFS protocols.
Each user, whether faculty, staff or student, has a "home" directory on the central file server. This directory is exported to other servers or desktop computers, regardless of operating systems, as needed. There are more than 40 servers with purposes that include: file service, UNIX mail, Exchange mail, firewall, UNIX authentication, NT authentication, printer management, lab image download, classroom-specific software, X windows service, news, domain name service, computational resources and general use. This allows the files to be used as a resource in both the UNIX and Microsoft PC environments.
Almost all computing equipment within the School of Engineering is connected to the engineering network at 100 megabits and higher. The network backbone is running at a gigabit per second over fiber. Most servers and all engineering buildings are connected to this gigabit backbone network. The backbone within engineering is connected to both the Internet 2 and the campus network that is then connected to the Internet at large. In addition to servers and shared computational resources, the School of Engineering maintains a number of individual computing laboratories associated with the departments.
Antenna Lab. The antenna lab consists of two facilities for fabrication and testing. Most of the antennas fabricated at the SMU antenna lab are microstrip antennas. Small and less complex antennas are made with a T-Tech milling machine, and a photolithic/chemical etching method is used to make more complex and large antennas. Fabricated antennas are characterized with an HP 5810B network analyzer. Workstations are available for antenna design and theoretical computation. Radiation characteristics are measured at the anechoic chamber at the University of Texas at Arlington under a contractual agreement.
Biomedical Engineering Laboratory. This laboratory contains instrumentation for carrying out research in electrophysiology, psychophysics and medical ultrasound. Four Grass physiographs permit the measurement of electroencephalograms as well as visual and auditory evoked brain potentials. The lab also contains a state-of-the-art dual Perkinje eye tracker and image stabilizer made by Fourward Technologies, Inc., a Vision Research Graphics 21î Digital Multisync Monitor for displaying visual stimuli and a Cambridge Research Systems visual stimulus generator capable of generating a variety of stimuli for use in psychophysical and electrophysiological experiments. Ultrasound data can also measured with a Physical Acoustics apparatus consisting of a water tank, RF pulser/receiver and RF data acquisition system. Several PCs are also available for instrumentation control and data acquisition.
Digital Signal Processing Laboratory. Digital signal processors (DSPs) are programmable semiconductor devices that are used extensively in cellular telephones, high-density disk drives and high-speed modems. Courses in this laboratory focus on programming the Texas Instruments TMS320VC510, a fixed-point processor, with emphasis on assembly language programming. Topics include implementation of FIR and IIR filters, the FFT and a real-time spectrum analyzer.
Networks Laboratory. The Networks Laboratory provides the opportunity to simulate and evaluate different network configurations from local area networks to the Internet. High-end PCs are configured with OPNET and mathematics software to model telecommunications networks and study their performance. The Networks Laboratory is used for instruction in conjunction with several networking courses offered in the department.
Multimedia Systems Laboratory. This facility includes an acoustic chamber with adjoining recording studio to allow high-quality sound recordings to be made. The chamber is sound-isolating with double- or triple-wall sheet rock on all four sides as well as an isolating ceiling barrier above the drop ceiling. The walls of the chamber have been constructed to be nonparallel to avoid flutter echo and dominant frequency modes. Acoustic paneling on the walls of the chamber are removable and allow the acoustic reverberation time to be adjusted to simulate different room acoustics. The control room next to the acoustic chamber includes a large 4-foot-by-8-foot acoustic window and inert acoustic door facing the acoustic chamber. Up to sixteen channels of audio can be carried in or out of the chamber to the control room. Experiments to be conducted in the Multimedia Systems Laboratory include blind source separation, deconvolution and dereverberation. Several of the undergraduate courses in electrical engineering use sound and music to motivate system-level design and signal processing applications. The Multimedia Systems Laboratory will be used in these activities to develop data sets for use in classroom experiments and laboratory projects for students to complete.
High-Speed Wireless Communications Laboratory. The laboratory provides a multi-tier network testbed for research purposes and also serves as a facility for conducting lab courses on wireless communications and networking. The infrastructure in the lab includes: a) GSM-based cellular network that provides wide range connectivity at medium data rates, b) 802.11-based WLAN offering high data rates in an office environment and c) Bluetooth networks that offer low-cost, short-range and low data rate connections. One of the research focus areas is investigation of total power efficiency of these heterogeneous networks.
Semiconductor Processing Clean Room. The 2,800 square-foot, class 10,000 clean room, consisting of a 2,400 square-foot, class 10,000 room and a class 1000 lithography area of 400 square feet, is located in the Jerry R. Junkins Engineering Building. A partial list of equipment in this laboratory includes acid and solvent hoods, photoresist spinners, a scanning electron microscope, two contact mask aligners, a thermal evaporator, a plasma asher, a plasma etcher, a turbo-pumped methane hydrogen reactive ion etcher, a four-target sputtering system, a plasma-enhanced chemical vapor deposition reactor, a diffusion-pumped four pocket e-beam evaporator, an ellipsometer and a profilometer. Other equipment includes a boron-trichloride reactive ion etcher, a chemical-assisted ion-beam etcher and an e-beam evaporator for dielectric deposition. The clean room is capable of processing silicon and compound semiconductors for microelectronic, photonic and nanotechnology devices.
Submicron Grating Laboratory. This laboratory is dedicated to holographic grating fabrication and has the capability of sub tenth-micron lines and spaces. Equipment in this laboratory includes a floating air table, an argon ion laser (ultraviolet lines) and an Atomic Force Microscope. This laboratory is used to make photonic devices with periodic features such as distributed feedback, distributed Bragg reflector, grating-outcoupled and photonic crystal semiconductor lasers.
Photonic Devices Laboratory. This laboratory is dedicated to characterizing the optical and electrical properties of photonic devices. Equipment in this laboratory program includes optical spectrum analyzer, an optical multimeter, visible and infrared cameras, an automated laser characterization system for edge-emitting lasers, a manual probe test system for surface-emitting lasers, a manual probe test system for edge-emitting laser die and bars and a near- and far-field measurement system.
Photonics Simulation Laboratory. This laboratory has specific computer programs that have been developed and continue to be developed for modeling and designing semiconductor lasers and optical waveguides, couplers and switches. These programs include WAVEGUIDE, which calculates near-field, far-field and effective indices of dielectric waveguides and semiconductor lasers with up to 500 layers. Each layer can contain gain or loss: GAIN (calculates the gain as a function of energy, carrier density and current density for strained and unstrained quantum wells for a variety of material systems); GRATING (uses the Floquet Bloch approach and the boundary element method to calculate reflection, transmission and outcoupling of dielectric waveguides and laser structures with any number of layers) and FIBER (calculates the fields, effective index, group velocity and dispersion for fibers with a circularly symmetric index of refraction profiles). Additional software is under development to model the modulation characteristics of photonic devices.
Photonic Architectures Laboratory. This laboratory is being set up. When complete, it will have a fully equipped opto-mechanical and electrical prototyping facility, supporting the activities of faculty and graduate students in experimental and analytical tasks. The lab will be ideally suited for the packaging, integration and testing of devices, modules and prototypes of optical systems. It will have two large vibration isolated tables, a variety of visible and infrared lasers, single element 1-D and 2-D detector arrays and a large compliment of optical and optomechanical components and mounting devices. In addition, the laboratory will have extensive data acquisition and analysis equipment, including a 1394 (Firewire) capable image capture and processing workstation, specifically designed to evaluate the electrical and optical characteristics of smart pixel devices and FSOI modules. Support electronics hardware will include various test instrumentation, such as arbitrary waveform generators and a variety of CAD tools for optical and electronic design.
For EE courses, the third digit in the course number designator indicates the subject area represented by the course. The courses for the Master’s degree in telecommunications are indicated by the prefix EETS. The EETS course descriptions are listed following the EE courses. The following designators are used for EE courses:
XX1X Electronic Materials
XX2X Electronic Devices
XX3X Quantum Electronics and Electromagnetic Theory
XX4X Biomedical Science
XX5X Network Theory and Circuits
XX7X Information Science and Communication Theory
XX8X Computers and Digital Systems
XX9X Individual Instruction, Research, Seminar and Special Project
7(1-3)9(0-9). Special Topics. This special topics course must have a section number associated with a faculty member. The second digit corresponds to the number of term credit hours, which ranges from one to three term credit hours. The last digit ranges from 0 to 9 and represents courses with different topics.
7310. Introduction to Semiconductors. A study of basic principles in physics and chemistry of semiconductors that have direct applications on device operation and fabrication. Includes basic semiconductor properties, elements of quantum mechanics, energy band theory, equilibrium carrier statistics and carrier transport and generation-recombination processes. A study of devices including metal-semiconductor junctions, p-n junctions, LEDs, semiconductor lasers, bipolar junction transistors, field-effect transistors and integrated circuits. An emphasis on obtaining the governing equations of device operation based on physical principles. Prerequisite: EE 3311.
7312. Semiconductor Processing Laboratory. A laboratory-oriented elective course for senior and first-year graduate students providing in-depth coverage of processing of InP and GaAs compounds in addition to silicon integrated circuit processing. Students without fabrication experience will fabricate and characterize MOSFETS and semiconductor lasers. Students with some previous fabrication experience (such as EE 3311) will fabricate and test an advanced device mutually agreed upon by the student(s) and the instructor. Examples of such devices include High Electron Mobility Transistors (HEMTs), Heterojunction Bipolar Transistors (HBTs), phase shifters, distributed Bragg reflector (DBR) lasers, grating assisted directional couplers and semiconductor lasers from developing materials such as GaInNAs. The governing equations of photolithography, oxidation, diffusion, ion-implantation, metalization and etching will be derived from fundamental concepts. Silicon process modeling will use the CAD tool SUPREM. Optical components will be modeled using the SMU developed software WAVEGUIDE, GAIN and GRATING. A laboratory report describing the projects will be peer-reviewed before final submission. Prerequisite: EE 3311 or equivalent.
7314 (ME 7314). Introduction to Microelectromechanical Systems (MEMS) and Devices. The basics for microelectromechanical devices and systems, including microactuators, microsensors and micromotors, principles of operation, different micromachining techniques (surface and bulk micromachining), IC-derived microfabrication techniques and thin-film technologies as they apply to MEMS.
7321. Semiconductor Devices and Circuits. Study of the basics of analog electronic circuits. Includes relevant characteristics of BJT and FET transistor characteristics, DC biasing, small-signal models, single- and multistage electronic amplifiers, amplifiers with feedback and frequency response of electronic amplifiers. Both single- and two-power-supply amplifiers, with emphasis on amplifiers based on the differential amplifier stage. Prerequisites: EE 3321 and EE 3322.
7330. Electromagnetics: Guided Waves. Application of Maxwell’s equations to guided waves. Transmission lines, plane wave propagation and reflection. Hollow waveguides and dielectric waveguides. Fiber optics, cavity and dielectric resonators. Prerequisite: EE 3330.
7332. Electromagnetics: Radiation and Antennas. Polarization, reflection, refraction and diffraction of EM waves. Dipole, loop and slot/reflector/antennas. Array analysis and synthesis. Self- and mutual impedance. Radiation resistance. Prerequisite: EE 3330.
7333. Antennas and Radiowave Propagation for Personal Communications. Three important aspects of telecommunications: fixed site antennas, radiowave propagation and small antennas proximate to the body. Includes 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.
7335. Quantum Electronics. Optical properties of solids: wave-length dependent dielectric constant, reflectivity, dispersion relations, quantum principles of absorption and emission, free-carrier absorption, electric dipole transitions, resonant processes and field quantization. Prerequisite: EE 3330.
7336. Introduction to Integrated Photonics. The issues of integrated photonics. Covers four major areas: 1) fundamental principles of electromagnetic theory, 2) waveguides, 3) simulation of waveguide modes and 4) photonic structures. The emphasis is slightly heavier into optical waveguides and numerical simulation techniques because advances in optical communications will be based on nanostructure waveguides coupled with new materials. Includes Maxwell’s equations; slab, step index, rectangular and graded index waveguides; dispersion; attenuations; non-linear effects; numerical methods and coupled mode theory. Mathematica will be used extensively in this class. Prerequisites: EE 3311 and EE 3330.
7340. Biomedical Instrumentation. Application of engineering principles to solving problems encountered in medicine and biomedical research. Includes transducer principles, electrophysiology and cardiopulmonary measurement systems. Prerequisite: EE 2122 and EE 2322.
7345. Medical Signal Analysis. A look at the analysis of discrete-time medical signals and images. Includes 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.
7356. VLSI Design and Lab. Laboratory-oriented course for senior- and master-level graduate students. An overview of IC circuit design and fabrication process, basic design rule and layout techniques. Emphasis on digital design. Covers CMOS and NMOS technology. Each student must complete one or more design projects by the end of the first term. Prerequisites: EE 2381 and 3311.
7357. CAE Tools for Structured Digital Design. The use of CAE tools for the design and stimulation of complex digital systems. Verilog, a registered trademark of Cadence Design Systems, Inc., hardware description language, will be discussed and used 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. Prerequisite: EE 2381 or permission of the instructor.
7360. Analog and Digital Control Systems. Feedback control of linear continuous and digital systems in the time domain and frequency domain. Includes plant representation, frequency response, stability, root locus, linear state variable feedback and design of compensators. Prerequisite: EE 3372.
7362 (ME 7302). Systems Analysis. State space representation of continuous and discrete-time systems, controllability, observability and minimal representations. Linear state variable feedback, observers and quadratic regulator theory.
7370. Communication and Information Systems. An introduction to communication and modulation systems in discrete and continuous time, the information content of signals and the transitions of signals in the presence of noise. Amplitude, frequency, phase and pulse modulation. Time and frequency division multiplex. Prerequisite: EE 3360 or equivalent.
7371. Analog and Digital Filter Design. Approximation and analog design of Butterworth, Chebyshey 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. Introduction to two-dimensional filters. Prerequisite: EE 5372.
7372. Digital Signal Processing. An extended cover of processing of discrete-time signals. Reviews discrete-time signals and the analysis of systems in both the time and frequency domains. Covers multi-rate signal processing, digital filter structures, filter design and power spectral estimation. Prerequisite: EE 3372.
7373. DSP Programming Laboratory. Digital signal processors (DSPs) are programmable semiconductor devices used extensively in digital cellular phones, high-density disk drives and high-speed modems. A laboratory course that focuses on programming the Texas Instruments TMS320C55, a fixed-point processor. Emphasis on assembly language programming. A hands-on approach that focuses on the essentials of DSP programming while minimizing signal processing theory. Includes implementation of FIR and IIR filters, the FFT and a real-time spectrum analyzer. Suggested: Some basic knowledge of discrete-time signals and digital logic systems. Prerequisite: EE 3372.
7374. Digital Image Processing. An introduction to the basic concepts and techniques of digital image processing. Covers characterization and representation of images, image enhancement, image restoration, image analysis, image coding and reconstruction. Prerequisite: EE 7372.
7375. Random Processes in Engineering. An introduction to probability and stochastic processes as used in communication and control. Includes 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: Permission of the instructor.
7376. Introduction to Computer Networks. Basic topics in communication networks with an emphasis on layered protocols and their design. Includes 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, IP (Internet Protocol), TCP and ATM. Assignments may include lab exercises involving computer simulations. Prerequisites: None; knowledge of basic probability may be helpful but is not necessary.
7377. Wireless Communication and Lab. Exposes students to a wide variety of real world experiences in wireless communications. Includes basic concepts of channel coding, modulation and power control and uses specific examples from cellular and wireless LAN systems. Covers diversity and multiple access aspects of these systems. Lab experiments include: 1) study of signaling modes and transmission schemes in GSM and characterizing the performance, 2) understanding the basic anatomy of a voice call in GSM, 3) data throughput study in IEEE 802.11 based wireless LANs and 4) device discovery, topology management and data transfer in Bluetooth networks. Prerequisite: EE 3360 or equivalent.
7380 Logic Design and Implementation. The use of programmable logic devices (PLDs) for design and implementation of digital systems. In particular, design and implementation using programmable read-only memories, programmable gate arrays, programmable logic sequencers, programmable array logic and programmable generic array logic. Uses the Altera MAX+plusII CAE tools to model, simulate and implement a design using modern PLD devices. Prerequisite: EE 2381 or EE 3381.
7381. Digital Computer Design. Emphasizes design of digital systems and register transfer. Design conventions, addressing modes, interrupts, input-output, channel organization, high-speed arithmetic, hardwired and microprogrammed control. Central processor organization design and memory organization. Prerequisite: EE 2381.
7385. Microprocessors in Digital Design. Intended to help prepare the digital design engineer for the use of microprocessors as programmable logic components in digital systems design. Includes fundamentals of both hardware and software engineering and their interrelationship with the microprocessor, capabilities and limitations of the Motorola 68000 microprocessor family, use of hardware/software development systems, assembly language programming for the 68000, input-output interfacing and concepts involved in real-time applications. Also, covers features of the 68332. Prerequisites: EE 3181 and EE 3381.
7(0,1,2,3,6)96. Master’s Thesis. Variable credit, but not more than six term credit hours in a single term and not more than four term credit hours in a summer term. Enrollment in several sections may be needed to obtain the desired number of thesis hours.
8(1-3)9(0-9). Special Topics. This special topics course must have a section number associated with a faculty member. The second digit corresponds to the number of term credit hour(s), which ranges from one to three term credit hours. The last digit ranges from 0 to 9 and represents courses with different topics.
8310. Electronic Processes. Study of atomic, molecular and crystal structures, electron motion in crystals, carrier statistics, band theory, electronic transport properties and scattering and recombination mechanisms in metals and semiconductors.
8322. Semiconductor Lasers. A detailed understanding of the physics of quantum well semiconductor lasers. Uses computer-aided design tools (MODIG/WAVEGUIDE and GAIN) to design and model state-of-the art strained quantum well lasers currently used in telecommunications. Uses the Envelope Function Approach to derive E-k bands and band diagrams of strained quantum well photonic devices. Also includes the Fermi golden rule, electron-photon interactions, spontaneous and stimulated emission, optical gain as a function of energy (wavelength) and current density. Differential gain, small signal analysis, gain compression and the linewidth enhancement factor. Coupled-mode theory, distributed feedback lasers and modulators.
8325. Optical Radiation and Detectors. The basic physical and operating principles of optical detectors. Focuses on infrared detectors. Includes geometric optics, blackbody radiation, radiometry, photon detection mechanisms, thermal detection mechanisms, probability and statistics of optical detection, noise in optical detectors, figures of merit, photovoltaic detectors, photoconductive detectors, bolometers, pyroelectric detectors, Schottky diode detectors and quantum well detectors. Prerequisites: EE 3311 and EE 3330 or optics.
8328. Semiconductor Devices. Metal-semiconductor devices, PN junctions, bipolar transistors, junction field-effect transistor, insulated-gate field-effect transistors and power devices.
8331. Microwave Electronics. A study of microwave circuit design covering amplifiers, mixers and oscillators using s-parameters. Includes scattering parameters, transmission lines, impedance matching, network synthesis, stability, noise, narrowband and broadband amplifier design, low-noise amplifiers, multistage amplifiers, biasing considerations, microwave oscillators and microwave mixers. Relationships to CAE tools. Prerequisite: EE 3330, EE 7330 or EE 7332.
8332. Numerical Techniques in Electromagnetics. An introduction to various numerical methods in electromagnetics, with emphasis on practical applications. Includes the moment method, finite difference method and finite element method. Prerequisites: EE 7330 and proficiency in one computer language (e.g. FORTRAN) or permission of the instructor.
8333. Advanced Electromagnetic Theory. The advanced level of electromagnetic theory beyond EE 5330. Includes various electromagnetic theories and principles. Green’s functions and perturbational and variational techniques. Prerequisite: EE 7330.
8355. Transistor Integrated Circuits. An introduction
to CMOS, BJT and BiCMOS analog-integrated circuits. Includes development
of detailed, physically-based device models for SPICE simulation and
application of these to components of operational amplifiers such as
bias, differential, gain and output stages, frequency response and compensation
and feedback circuits. Emphasis on modern CMOS operational amplifier
design with BiCMOS applications. As an extension of EE 7321, this course
covers the topics in more depth and considers high-frequency aspects
of analog circuits.
8356. Advanced Topics in VLSI Design. Advanced VLSI course for graduate students. Focuses on high performance and low-power design in deep sub-micron CMOS technologies. There will be a project associated with this course.
8357 (CSE 8357). Design of CAD/CAE Tools. Algorithm and software development techniques for design and implementation of CAD/CAE tools. Emphasizes development of tools for VLSI and digital systems design. Includes database development to support design environments and representation, characteristics and design of synthesis, static analysis and dynamic analysis tools. Also covers human interface issues and CAD/CAE output formats. Prerequisite: EE 5356 or experience with design using CAD/CAE tools and programming skills.
8361. Optimal Control of Deterministic and Stochastic Systems. Topics related to deterministic system control, including applications of the variational calculus using Hamiltonian methods, optimization with control variable constraints, maximum principle, linear quadratic problem, Ricatti equation and principle of optimality. Also, optimal stochastic control, including point estimation, state estimation, Kalman filter, linear quadratic Gaussian problem and separation principle. Prerequisites: EE 7360 and EE 7375.
8364. Statistical Pattern Recognition. Introduction to various parametric and nonparametric statistical approaches to automatic classification of a set of processes. Includes Bayes, Neyman-Pearson, Minimax, sequential and nearest-neighbor classifiers, estimation of classifier error, parameter estimation, density function estimation, linear discriminant functions, feature selection and evaluation, unsupervised recognition techniques and clustering analysis. Prerequisite: EE 7375 or equivalent.
8365. Adaptive Filters. A detailed treatment of the theory and application of adaptive filter processing. Includes linear prediction, stochastic gradient (LMS) adaptive transversal filters, recursive least-squares (RLS) adaptive transversal filters, lattice filters and fast RLS algorithms. Also adaptive equalization, echo cancellation, system identification, beamforming, speech coding and spectral estimation. Prerequisites: EE 7372 and EE 7375 or permission of the instructor.
8366. Artificial Neural Networks. An introduction to Artificial Neural Networks and some applications. Includes Associative Memories, Hopfield model and extensions, optimization problems, simple perceptrons, multilayer networks, recurrent networks, application to supervised pattern recognition, unsupervised competitive learning, Kohonen networks and adaptive resonance theory. Prerequisites: Some background in multivariate calculus, probability and statistics; linear algebra.
8367 (ME 8367). Nonlinear Control. An introduction to methods of the control of nonlinear systems. Reviews phase plane analysis of nonlinear systems, Lyapunov theory, nonlinear stability and describing function analysis. Includes feedback linearization, sliding control and adaptive control. Special emphasis on the application of the developed concepts to the robust regulation of the response of nonlinear systems. Prerequisite: EE 7362.
8368. Signal Processing for Wireless Communications. Focuses on signal processing used in wireless communications. Emphasis on channel equalization, which can be considered a form of temporal signal processing, spatial array processing and space-time processing. Includes classical and blind channel equalization, Fourier, parametric and subspaced-based direction finding methods for smart antennas and space-time signal processing. Prerequisite: EE 7372.
8370. Analog and Digital Communications. Review of probability theory and stochastic processes. Characterization of communication signals and systems, optimum receivers, signal design for a communication through band-limited channels and applications in wireless communications.
8371. Information Theory. An investigation of the fundamental performance limits of communication systems. Developments and proofs of Shannon’s three theorems, involving channel capacity, lossless source coding and rate distortion theory. Includes entropy, entropy rate, mutual information, discrete memoryless channels and sources and the additive white Gaussian noise channel. Prerequisites: EE 7370 and EE 7375.
8372. (CSE 8352). Cryptography and Data Security. Cryptography is the study of mathematical systems for solving two kinds of security problems on public channels: privacy and authentication. Covers the theory and practice of both classical and modern cryptographic systems. The fundamental issues involved in the analysis and design of a modern cryptographic system will be identified or studied. Prerequisite: STAT/CSE 4340 or equivalent.
8373. Digital Speech Processing. A detailed treatment of theory and application of digital speech processing. Provides a fundamental knowledge of speech signals and speech processing techniques. Includes digital speech coding, speech synthesis, speech recognition and speech verification. Prerequisite: EE 7372.
8374. Fundamentals of Computer Vision. Introduction to the basic concepts and various techniques for computer analysis, interpretation and recognition of pictorial data. Includes binary image analysis, edge and curve detection, image segmentation, shape and texture representation and recognition, morphological methods and stereo vision. Prerequisite: Familiarity with basic concepts in signal processing and probability theory.
8375. Error Control Coding. The construction and decoding of block codes and convolutional codes. Bounds on code performance and performance tradeoffs. Introduction to trellis coded modulation and turbo codes. Typical applications of error control coding. Prerequisite: EE 8370 or permission of the instructor.
8376. Detection and Estimation Theory. Advanced topics in detection and estimation, including asymptotic detector and estimator performance, robust detection and nonparametric detection techniques. Prerequisite: EE 8370.
8377. Advanced Digital Communications. Equalization, digital communication through fading and multipath channels, spread spectrum, multi-user communications and wireless applications. Prerequisite: EE 8370 or permission of the instructor.
8378. Performance Modeling and Evaluation of Computer Networks. Probabilistic modeling and evaluation techniques to understanding the behavior of traffic, switching and network protocols. Includes basic queuing theory, traffic models, multiplexing, scheduling, switch models, routing and traffic control, in the context of protocols such as TCP/IP: and ATM. Prerequisites: Probability, random processes and some knowledge of networks. EE 5376, EE 7376 and CSE 6544 are recommended.
8(0,1,2,3,6,9)96. Dissertation. Variable credit but no more than 15 term hours in a single term and no more than 10 term hours in the summer terms. Registration in several sections may be needed to obtain the desired number of dissertation hours. For example, 12 term hours of dissertation would require registration in EE 8396 and EE 8996.
EETS courses are designed for the M.S. degree in telecommunications or to be taken as a part of the M.S.E.E. with the telecommunications specialization option.
7301 (CSE 7376). Introduction to Telecommunications. Overview of public and private telecommunications systems, traffic engineering, switching, transmission and signaling. Channel capacity, media characteristics, Fourier analysis and harmonics, modulation, electromagnetic wave propagation and antennas, modems and interfaces and digital transmission systems. DSL technologies, digital microwave, satellites, fiber optics and SONET and Integrated Services Digital Networks.
7302. Telecommunications Management and Regulation. The managerial sequel to EETS 7301 Introduction to Telecommunications. A historical review of the most significant regulation and management issues affecting the telecommunications industry during the past 100 years. Also explores the regulatory environment in which it operates today through the study of current events articles and recent state and federal legislation. Prerequisite: EETS 7301 or experience in the telecommunications industry.
7303. Fiber Optic Telecommunications. An introductory course designed to familiarize students with practical concepts involved in optical fiber communications systems. Develops basic optical principles. Includes dielectric-slab waveguides, fiber waveguides and integrated optics devices. Covers the major components of a fiber communications link, including optical sources, detectors and fibers. Also the current state of the art and expected future directions in optical telecommunications, such as coarse and dense wavelength division multiplexing and dispersion compensation (electronic and optical methods).
7304. Internet Protocols. An introductory course on the protocol architecture of the Internet, following a bottom-up approach to the protocol layers. Provides an understanding of the internetworking concepts in preparation for advance networking courses. Includes 1) networking technologies such as local area networks, packet switching and ATM, 2) the Internet protocol (IP) and TCP/UDP in depth and 3) an overview of important application protocols such as HTTP, client/server computing, SMTP, FTP and SNMP. Prerequisite: EETS 7301 or equivalent.
7306. Wireless, Cellular and Personal Telecommunications. Comprehensive course in the fast developing field of wireless mobile/cellular and personal telecommunications. Mobile/cellular communications: frequency allocations, base station site selection, cellular structures, channel trunking, analog cellular signaling, handover, data over cellular, multipath fading, diversity reception, modulation techniques, speech coding, digital cellular design including GSM and TDMA, spectral efficiency considerations, spectral management and regulations, roaming and current world systems and standards. Personal communications: basic concepts and terminology for PCS, PCS technology, design based on CSM, TDMA and CDMA, spectrum sharing with other services such as FSM, PCS standards, intelligent networks for PCS, global challenges for PCS, third-generation wireless, number portability and roaming and satellites in wireless. Prerequisites: EETS 7301 and EETS 7320 or EE 5370 or permission of the instructor. Primarily for the telecommunications program but can also be very useful for EE students who plan to specialize in this field.
7315. Data Communications. Overview of Open Systems Interconnection Reference Model. Design criteria and issues for data communications systems, protocols and standards relating to OSI Reference Model at layers 1-4, including the following: asynchronous transfer mode, serial interfaces, synchronization issues, link protocols, error detection, multiplexers, packet switching, virtual networks and services, local area networks, bridges, routers, hubs, narrowband and broadband ISDN, TCP/IP and optimization techniques.
7320. Digital Telecommunications Technology. Introduction and overview of advanced electronics technologies in telecommunications. The objective of this course is to give the student an understanding of the relevant technology to support proper decision making in the design, installation and operation of telecom systems. Stresses that telecom systems must provide technology supporting a useful service at an economically attractive price. Prerequisite: EETS 7315.
8305. Telecommunications Software Design. Comprehensive course to familiarize telecommunications professionals with the state-of-the-art software concepts and technology in modern telecommunications applications. Focuses on software process modeling, user interface design, CASE tool, reusability, quality assurance, reliability, distributed computing, real-time operating system and database and understanding of Real-Time Object-Oriented Modeling (ROOM) in analysis and design and high-level programming language design concepts such as C++ as required in telecommunications software development. Heavy emphasis on real-world applications, including Central Office (CO) or Private Branch Exchange (PBX) switch, Computer Telephone Integration (CTI), LAN-to-WAN Node Processor, Advanced Intelligent Network (AIN), Cellular/Personal Communications Service (PCS), Asynchronous Transfer Mode (ATM), Integrated Services Digital Network (ISDN) and demonstration of ObjecTime, a Real-Time Object-Oriented Modeling software tool. Prerequisites: EETS 7301 or permission of the instructor, plus knowledge of one high-level programming language, preferably Pascal, C or C++.
8307. Telecommunications Network Management. Comprehensive course in the important issues in telecommunications network management. Overview of the underlying principles-Operation, Administration, Maintenance and Provisioning (OAM&P) – which are often the most expensive and labor-intensive aspects of telecommunications. Includes different paradigms for network management such as the Internet Simple Network Management Protocol (SNMP, SNMPv2) and the Open System Interconnection Common Management information protocol (OSI CMIP). Covers the object-oriented modeling approach such as the ITU-T Telecommunications Management Network (TMN) and Bellcore’s Information Networking Architecture (INA). Also, implementation issues of architectural concepts into network products and systems such as the translation from ISO Guidelines for the Definition of Managed Objects (GDMO) into C++. Network simulation, configuration, fault, security, accounting, performance management and the Quality of Service (QoS) concepts. Drivers for network management and its traditional practice, as well as future needs. Case studies in Intelligent Network (IN) and Synchronous Optical Network (SONET). Prerequisites: EETS 8305 or permission of the instructor, plus knowledge of one high-level programming language, preferably PASCAL, C or C++.
8311. Intelligent Networks (IN). A comprehensive course in providing broad knowledge in IN by exploring the theoretical network/call models of the ITU-T and ANSI and practical experiences of implementing IN technologies and services. Explains in detail important IN elements such as the Service Creation Environment (SCE), Service Management Systems (SMS), Service Control Point (SCP), Signal Transfer Point (STP), Service Switching Point (SSP), Intelligent Peripheral (IP). Includes implementation scenarios for IN elements starting with the ITU-T Service Independent Building Blocks (SIB) to actual service deployment. Covers harmonization of IN with Telecommunications Management Network (TMN), the future of IN with migration to Telecommunication Information Networking Architecture (TINA) and hurdles to IN, e.g., feature interaction, Local Number Portability (LNP) example and IN/IP/CTI integration. Live demos of IN service creation and execution. Prerequisite: permission of the instructor.
8313. Internet Telephony. A comprehensive introduction to the background, protocols, standards and issues related to Internet telephony. Describes the changing telecommunications environment that motivates the transition from today’s telephone network to voice over IP (VoIP) and strategies being used by companies and individuals to implement VoIP. Covers as an umbrella protocol the Session Internet Protocol (SIP) with its partner Session Description Protocol (SDP). Also, other protocols including H.323, RSVP, RTP, DNS, TRIP, ISUP and SS7. Issues including emergency services, security, mobility and quality of service. On-campus students and off-campus students with high-speed Internet access will have access to SIP lab equipment. Prerequisites: EETS 7301 and EETS 7315 or permission of the instructor.
8315. Advanced Topics in Wireless Communication. Focuses on third generation systems, wireless data and emerging wireless systems and technologies. Covers the IMT2000 requirements, proposals and evolution path for CDMA and TDMA technologies towards 3G. Detailed study of Radio Access network for the GPRS (General Pack Radio Services), EDGE (Enhanced Data for Global TDMA Evolution), WCDMA and CDMA2000 as well as core network evolution. Also covers second generation wireless data systems such as CDPD (Cellular Digital Packet Data) and SMS (Short Message Services). Mobile IP and Wireless Application Protocol (WAP). Other topics that may be covered include LMDS, WILL, indoor systems, cordless phones and WLAN. Prerequisite: EETS 7306 or permission of the instructor.
8316. Wireless Networks. A comprehensive introduction to various transport layer protocols especially focusing on wireless networks. Begins with a study of various traffic scenarios in different elements of a wireless network. Then, looks at various applications using 3G. Finally, discusses methods for performance monitoring and network testing. Prerequisite: EETS 7306.
8317. Switching and QoS Management in IP Networks. A comprehensive course on Internet Protocol (IP) Switching and Quality of Services (QoS) management technology, protocols and applications. Part I concentrates on the fundamentals of IP and ATM switching architecture, including the Internet Engineering Task Force (IETF) efforts on IP switching technology and the commercial deployment of Multi-Protocol Label Switching (MPLS) equipment and its evolution toward IETF MPLS architecture. In contrast to the current data-oriented best-effort IP network, the next-generation IP network will have to carry time-critical and QoS sensitive real-time traffic, such as voice and video. Thus, the mechanisms for guaranteeing QoS for service requirements are critical in an MPLS network. Part II addresses the mechanisms for end-to-end QoS management in an MPLS network, including MPLS traffic engineering, MPLS support for Integrated and Differentiated services, QoS routing algorithms and MPLS signaling support for RSVP-TE and CR-LDP. Bandwidth Broker (BB) and Service Level Agreement (SLA) server. Policy-based architecture for QoS management methods will also be discussed. Part III focuses on the applications and network-evolution issues of MPLS technology, including MPLS-based VPN architecture and MPLS over DWDM networks and GMPLS.
8318. Wireless Internet. A comprehensive course in providing broad knowledge on Bluetooth and WAP wireless standards, technologies, protocols and applications. Bluetooth is a wireless technology for small devices such as PDAs, cell phones and computers to communicate seamlessly without cables or wires. The goal of WAP is to bring Internet content and advanced services to wireless handsets and other wireless terminals and to create a global wireless protocol specification to work across differing wireless network technologies. WML serves as the markup language for browser display on wireless devices This unique class is to baseline the current Bluetooth and WAP/WML standard effort and to define the parameters of the technical wireless communications environment. The course explains the contributing technologies of the Bluetooth and WAP/WML in detail, outlining new directions and products already emerging and surveying the imminent technologies that create a brand of new telecommunications environment. Students will acquire hand-on experience in writing WAP/WML software applications as a term project.
8319. Optical DWDM Networks. Provides a basic understanding of the underlying optical networking technologies from concept and design to deployment. Optical networks, especially the Dense wavelength division multiplexing (DWDM), are not just for long-haul systems anymore. Using DWDM adds an important new dimension to existing fiber networks in metropolitan and local access network environment. This course begins with a look at the bandwidth drivers that will determine the coming requirements for this novel technology and considers the business case for its deployment. Reviews fiber-optic technology with an emphasis on the characteristics of particular fiber types used to support DWDM technology, as well as the workings of a DWDM system. Also discusses key DWDM technologies, such as optical filters, optical amplifiers, optical add/drop multiplexing systems, optical cross connect switches and other optical communication devices, keeping in mind the impairments that can limit DWDM transmission distances and speeds. Finally, presents current DWDM network configurations and architectures with a focus on the real-world applications of this promising new technology. Emphasizes DWDM system design issues, DWDM ring and mesh network topologies, fault avoidance, provisioning, performance monitoring and issues of current researches. Prerequisite: EETS 7301. Recommended: EETS 7303.
8321. Telecommunications Network Security. A graduate-level survey of the technologies underlying network security. First, covers the principles of private and public key cryptography. Describes a number of example encryption algorithms, including DES and AES. Includes the use of encryption with hash functions for digital signatures and certificates. Second, covers perimeter security including firewalls, intrusion detection systems, viruses and worms. Finally, covers a number of secure protocols including secure e-mail, secure HTTP, IPSec and virtual private networks. Does not cover topics that are part of general security but peripheral to network security, e.g., physical tamper resistance, security policies, digital rights management and biometrics. Prerequisite: EETS 7315.
8322. Data Compression for Multi-Media Applications. An introduction to techniques for efficient compression and coding of audio and video signals for multimedia applications. Includes speech and vision models, sampling and quantization of one- and two-dimensional signals, coding techniques for audio and video signals and existing and evolving standards for audio and video coding. Prerequisite: EETS 7315 or permission of the instructor.