Electrical Engineering 


Undergraduate Programs

The undergraduate program in electrical engineering is accredited by the Engineering Accreditation Commission of ABET (Accreditation Board for Engineering and Technology). Students enter the junior year from the Watson School Division of Engineering Design, or have completed the associate of science in engineering science (or equivalent) elsewhere. The undergraduate electrical engineering curriculum provides a broad-based education with an opportunity for specialization. The primary goal is to prepare the graduate for a creative, lifelong engineering career by providing the necessary fundamentals and skills as well as motivation for continued self-education. The essence of engineering is design, and experience in the design process is provided by the program in multiple stages by the use of open-ended problem solving and in laboratories. There are two senior design projects. The first is an individual project requiring the formulation of specifications, scheduling, construction, and test. The second is a group design project sponsored by industry, in which students work closely with both faculty and local engineers. Students may also gain experience in engineering practice after completing the junior year by applying for paid, full-time industrial internships of length from six to 15 months while earning up to six credits of technical elective, and returning for their senior year. Students may apply for an extended program leading to dual BSEE/BS computer science degrees. The programs must be organized early, with the assistance of the Watson School Advising Office. Students may earn an international studies certificate by selecting courses in a foreign language and culture to satisfy liberal arts electives. High school language study is a prerequisite. A semester overseas at a participat ing institution may be arranged for qualified applicants. Students interested in the ISC program should contact the Watson School Advising Office prior to initial registration.

Requirements for BS in Electrical Engineering
To receive the BS degree in electrical engineering, students must complete 72 credits beyond the associate of science degree in engineering science (or equivalent). Transfer students without the associate of science degree in engineering science should refer to the Engineering Design Division requirements for admission into the junior-level program. A minimum grade average of C in the engineering courses is required for graduation. All Binghamton University freshmen must also meet the University's General Education requirements. However, those requirements are waived for all junior transfers who have earned a minimum of 57 credits prior to entering the University. Any student with the associate degree in engineering science, or equivalent courses, will have this waiver. For more details, refer to the General Education section of this Bulletin .
 
Junior Year/Fall Semester  credits
(Lecture + Laboratory) 3 + 0 
EE 301. Signals and Systems 3 + 0 
EE 315. Electronics I 3 + 0 
EE 341. Fundamentals of Electro-mechanics 3 + 0 
EE 352. Digital Systems I 3 + 0 
EE 385. Engineering Practice I  1 + 2 
MATH 341. Probability and Statistics  3 + 0 
 TOTAL 16 + 2
Junior Year/Spring Semester
EE 302. Discrete and Random Signal Processing  3 + 0
EE 316. Electronics II  3 + 0
EE 322. Transmission Lines and Fields 3 + 0
EE 332. Semiconductor Devices 3 + 0
EE 361. Introduction to Control Systems  3 + 0
EE 386. Engineering Practice II 1 + 2 
TOTAL 16 + 2
Senior Year/Fall Semester
EE 423. Electromagnetic Waves & Antennas   3 + 0 
EE 487. Engineering Practice III 1 + 2 
EE 489. Engineering and Society *** 2 + 0 
Technical elective*  3 + 0 
Technical elective*  3 + 0 
Humanities/social sciences elective** 4 + 0
TOTAL  16 + 2 
Senior Year/Spring Semester 
EE 488. Engineering Practice IV  1 + 2 
ME 440. Heat Transfer Applications in Electronics 3 + 0
Technical elective* 3 + 0
Technical elective*  3 + 0
Humanities/social sciences elective** 4 + 0 
Free elective*** 2 + 0 
TOTAL  16 + 2
 * Technical electives must be selected from an approved list of courses with design content and prerequisites. ** Must be selected from an approved list of upper-division liberal arts courses. *** Offered fall and spring.

Minor In Computer Science
A minor in computer science is available for BSEE majors. For details see computer science.

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Graduate Programs

Master of Science in Electrical Engineering

The program leading to the master of science degree in electrical engineering provides the balance of advanced theory and practical knowledge necessary for either professional practice or for continuation into a doctoral program. Within the broad field of electrical engineering, students must specialize in one of three designated areas: computer engineering, systems (controls, communication, or signal processing), or electro-physics (microelectronics, electromagnetics, or electro-optics). Specialization is achieved by selection of course work and thesis topic. Under appropriate circumstances, a research project may be carried out in industrial laboratories, with joint supervision of the thesis by a co-advisor at the student's place of work and a professor from the Watson School regular faculty.
    The program has the flexibility required by part-time students and takes advantage of their industrial experience. The master of engineering (M.Eng.) program enables students to combine a specialization in electrical engineering with coursework in several related disciplines. The department is also enriched by adjunct faculty members employed in local industry. Graduate students are encouraged to apply for part-time work as teaching assistants, research assistants, or casual technical assistants to gain practical experience as well as financial aid and a tuition waiver.

Admission Requirements

Degree Requirements
The student must maintain at least a B average in one of the following plans of study:
  • Thesis option
  • Project option (normally approved only for part -time students)
  • Master of Engineering with Specialization in Electrical Engineering

    Degree Requirements

    The student must maintain a B average in the following plan of study: For more information on this degree, see also the School-Wide section on the Master of Engineering Degree. Doctoral Program in Electrical Engineering The PhD in electrical engineering is described under Watson School "Graduate Information."
     
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    Course Offerings/ Undergraduate

    EE 301. SIGNALS AND SYSTEMS
                                                                    fall, 3 + 0
    Steady state and transient analysis of linear systems; Fou rier and LaPlace transforms, convolution, impulse re sponse, transfer function. Design of elementary electrical filter circuits. Prerequisites: differential equations and electric circuits.

    EE 302. DISCRETE AND RANDOM SIGNAL PROCESSING
                                                                  spring, 3 + 0
    Discrete time and frequency analysis of linear systems. Random signals, probability density, correlation func tions, power spectrum. Design of elementary digital filters. Prerequisites: EE 301 and MATH 341, or PHYS 407.

    EE 315. ELECTRONICS I
                                                                      fall, 3 + 0
    Introduction to electronics concentrating on the funda mental devices (diode, transistor, operational amplifier, logic gate) and their basic applications; modeling techniques; elementary circuit design based on devices. Prerequisites: electric circuits.

    EE 316. ELECTRONICS II
                                                                       spring, 3 + 0
    Continuation of EE 315 with emphasis on electronic circuit design and system applications (filters, power regulation, oscillators, timing). Prerequisite: EE 315.

    EE 322 TRANSMISSION LINES AND FIELDS
                                                                      spring, 3 + 0
    Distributed circuits as one-dimensional transmission lines, characteristic impedance, reflection coefficient. Static electromagnetic fields, design of capacitance, and inductance elements. Introduction to Maxwell's equations. Prerequisite: EE 301.

    EE 332. SEMICONDUCTOR DEVICES
                                                                            spring, 3 + 0
    Basic theory of semiconductors, p-n junctions, bipolar junction transistors, junction and MOS field effect devices; device design and modelling, fabrication. Prerequisites: one course in chemistry, a course in materials science, or modern physics or second chemistry course.

    EE 340. SIGNALS AND SYSTEMS FOR MECHANICAL ENGINEERS
                                                                                fall, 3 + 0
    Steady state and transient analysis of linear systems; introduction to analog and digital electronics, electrical machines. Design of elementary electrical and electronic systems. Prerequisites: MATH 471 and electric circuits. (For mechanical engineering students only.)

    EE 341 FUNDAMENTALS OF ELECTRO-MECHANICS
                                                                                     fall, 3 + 0
    Principles of electro-mechanical energy conversion; mechanical and electrical forces related to currents and velocities. DC machines, transformers and AC machines, stepping motors, transducers. Three phase power. Terminal characteristics and equivalent circuits. Prerequisites: college physics, calculus, engineering mechanics, electric circuits.

    EE 352. DIGITAL SYSTEMS I
                                                                                         fall, 3 + 0
    The fundamental concepts of digital systems. Number systems and codes, combinational logic, sequential logic, register transfers, controllers, memory, software and computer organization, input/output interfaces. Prerequisites: proficiency in a computer language and a course in electric circuits.

    EE 361. INTRODUCTION TO CONTROL SYSTEMS
                                                                                               spring, 3 + 0
    Introduction to analysis, design, and modeling of control systems. LaPlace transforms, transfer functions, and tran sient analysis. Concepts of stability; polar and log-frequency plots. Numerical simulation and design of simple control systems. Prerequisite: EE 301 or PHYS 407.

    EE 385. ENGINEERING PRACTICE I
                                                                                                        fall, 1 + 2
    Laboratory experiments for electronics and digital systems courses. Technical communication with emphasis on written presentation: proposals, reports, research papers, memoranda, resumes; word processing, spread sheets, and graphs; writing evaluation. Corequisites: EE 315 and EE 352.

    EE 386. ENGINEERING PRACTICE II
                                                                                                     spring, 1 + 2
    Composite electronics and electrical engineering labora tory experiments. Safety and physical hazards. Technical communication with emphasis on oral presentations: public speaking, and audio-visual techniques; listening and evaluation; videotaping for self-evaluation; ethical and professional issues. Prerequisite: EE 385. Corequisites: EE 302, 316, 322, 332, 361.

    EE 418 LINEAR INTEGRATED CIRCUIT APPLICATIONS
                                                                                                   alternate years, 3 + 0
    Analog filters, power amplifiers, oscillators, phase lock loops, analog/digital interface. Technical elective. Prerequisite: EE 316 or equivalent with consent of department chair.

    EE 419 POWER ELECTRONICS
                                                                                                               fall, 3 + 0
    Electronic processing of electrical energy. Overview of power electronics devices such as DMOSFET, IGBT, and Thyristor. Power supply circuits from AC or DC sources as used in computers, inverters, and variable-speed motor drives. Analytical and numerical techniques for simulation. Technical elective. Prerequisite: EE 316.

    EE 423. ELECTROMAGNETIC WAVES AND ANTENNAS
                                                                                                                fall, 3 + 0
    Maxwell's equations, plane waves, reflections, guided waves, resonators, antennas and radiating apertures, fiber optics. Design of systems for transmission of electrical energy by conductors, dielectrics, and propagation in free space. Concepts of electromagnetic interference and compatibility. Prerequisite: EE 322.

    EE 433. MATERIALS AND DEVICES
                                                                                                              fall, 3 + 0
    Properties of electrical engineering materials; device design and fabrication, parameter measurement. Technical elective. Prerequisite: EE 332.

    EE 435. ELECTRONIC APPLICATIONS OF MATERIALS
                                                                                                             alternate years
    Device and circuit properties of emerging electronic devices. High- and low-temperature superconductive de vices; the voltage standard; GaAs MESFETs for high speed digital applications; display devices; crystalline and amor phous solar cells; vacuum electronics; applications of plasmas; surface acoustic wave devices. Technical elective. Prerequisites: EE 322 and 332.

    EE 452. DIGITAL SYSTEMS II
                                                                                                   fall and summer, 3 + 0
    Design of software and hardware for microprocessor ap plications. Processor architecture, microprogramming, and computer design. Technical elective. Prerequisite: EE 352.

    EE 453. COMPUTER SYSTEMS
                                                                                                             spring, 3 + 0
    Computer systems description, arithmetic algorithms, CPU, memory hierarchy, I/O, multiprocessor architectures, operating systems and compilers, neurocomputers, VLSI technology. Technical elective. Prerequisite: EE 352.

    EE 462. LINEAR AND SAMPLED DATA CONTROL SYSTEMS
                                                                                                        fall and summer, 3 + 0
    Conventional and state variable techniques for the analysis and design of digital and analog control systems. Z -transform. Sampled data systems. Discrete state variable. Numerical simulation and computer-aided design of con trol systems. Technical elective. Prerequisite: EE 361.

    EE 474. INTRODUCTION TO ELECTRO-OPTICS
                                                                                                          spring, 3 + 0
    Electro-optic devices and systems. Blackbody, LED and laser sources, photodetectors, modulators, fiber optics, Fourier optics. Design of electro-optic systems. Technical elective. Prerequisites: EE 423 and college physics.

    EE 475. DIGITAL AUDIO AND ELECTROACOUSTICS
                                                                                                               fall, 3 + 0
    Fundamentals of acoustics, digital signal processing, digital audio technology, selected topics from current literature. Technical elective. Prerequisites: EE 302 and 352.

    EE 477. COMMUNICATIONS SYSTEMS
                                                                                                              spring, 3 + 0
    Modulation and demodulation: AM, FM, PCM, SSB, TV. Noise, channel capacity, optimum detection. Design of communications systems. Technical elective. Prerequisite: EE 302

    EE 487. ENGINEERING PRACTICE III
                                                                                                              fall, 1 + 2
    Lab experiments relating to both the required and elective courses. Individual design projects proposal, time sched ule, prototype and test, construction of functioning system. Evaluation is based on written and oral reports and final hardware demonstration. Prerequisites: EE 316, 341, 352, and 386. Corequisites: EE 423 and two senior electives.

    EE 488. ENGINEERING PRACTICE IV
                                                                                                                spring, 1 + 2
    Laboratory experiments self-paced and unscheduled. Group design projects in cooperation with local industry. Evaluation is based on written and oral reports, and final hardware demonstration. Corequisites: ME 440 and two senior electives.

    EE 489. ENGINEERING AND SOCIETY
                                                                                                             every semester, 2 + 0
    Preparation for employment and graduate education. Patent law, case studies in professional ethics, historical perspec tives of technology, environmental issues, introduction to business and management. Guest lectures; field trips; written reports and oral presentations required.

    EE 491. TEACHING PRACTICUM
                                                                                               every semester, variable credit
    Assist with undergraduate instruction of a formal course under the direct supervision of the course instructor. Prerequisites: approval of the faculty member and the depart ment chair.

    EE 494. INDUSTRIAL INTERNSHIP
                                                                                                    every semester, variable credit
    Engineering work experience in industry. Daily log book, memo progress reports, and formal final report required. May replace no more than one technical elective. Prereq uisite: permission of department chair.

    EE 497. INDEPENDENT STUDY
                                                                                                   every semester, variable credit
    Individual study under direct supervision of a faculty member. Prerequisites: approval of proposed subject by the faculty member and department chair.

    EE 499. UNDERGRADUATE RESEARCH
                                                                                                     every semester, variable credit
    Assist with faculty research. Prerequisites: approval of proposed subject by the faculty member and the department chair.

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    Course Offerings/Graduate

    NOTE: Unless otherwise noted, graduate courses carry 3 credits.

    EE 501. LINEAR SYSTEMS THEORY
                                                                               fall
    State space models for linear systems. Controllability and observability. Eigenvalues and eigenvectors. Least squares and singular value decomposition. Computational considerations. Prerequisite: EE 361 or equivalent.

    EE 502. EMBEDDED CONTROL
                                                                          alternate years
    Embedded microcontrollers and digital signal processors in control systems; transducer and instrumentation models. Prerequisites: EE 352 and 361 or equivalent.

    EE 503. NONLINEAR SYSTEMS DESIGN
                                                                           alternate years
    Characteristics of nonlinear systems, stability theories, design of controllers, computer simulation. Prerequisite: EE 462 or equivalent.

    EE 505. ANALYSIS AND DESIGN OF CONTROL SYSTEMS
                                                                                 fall
    Advanced techniques for analysis and design of analog linear and non-linear control systems. Topics include conventional and state variable techniques for the math ematical description of control systems, stability analysis, conventional and modern design techniques, numerical simulation, and computer-aided design of control systems. Prerequisite: EE 462 or equivalent.

    EE 506. ADVANCED DIGITAL CONTROL
                                                                         alternate years
    A background overview of S- and Z- transforms and analysis of transfer functions. Introduction of multi-rate sampling techniques. Description of phantom sampling techniques and Krane Vector Switched Decomposition. Analysis of digital systems. Advanced topics in multi-rate controls using state space techniques. Prerequisite: EE 462 or equivalent.

    EE 507. ADAPTIVE CONTROL SYSTEMS
                                                                          spring
    Techniques for the mathematical description, analysis, and design of adaptive control systems. Concept of adaptation, model reference, and self-tuning approaches to system identification. Computer simulation exercises with formal reports required. Prerequisites: EE 462 and approval of graduate advisor.

    EE 508. INTRODUCTION TO PROCESS CONTROL
                                                                              fall
    Applications of statistical, optimization, and advanced control techniques for mathematical description, analysis optimization, and control of multivariable processes. Topics include: regression analysis, linear, nonlinear and dy namic programming, adaptive control. Prerequisite: EE 361 or equivalent.

    EE 509. STOCHASTIC CONTROL
                                                                           alternate years
    Statistical techniques for the description, analysis, and design of control systems. Estimation, prediction, and Kalman filtering in advanced systems. Prerequisites: EE 505 and a course in probability or equivalent.

    EE 510. LINEAR AND SAMPLED DATA CONTROL SYSTEMS
                                                                                  fall and summer
    Conventional and state variable techniques for the analysis and design of digital and analog control systems. Z -transform. Sampled data systems. Discrete state variable. Numerical simulation and computer-aided design of control systems. Four laboratory exercises with formal reports are required. Lecture portion meets with EE 462. Prerequisites: EE 361 and approval of the graduate advisor.

    EE 515. ELECTROMAGNETIC MODELING FOR MICROELECTRONICS
                                                                                           spring
    Numerical simulation techniques for the solution of charge, current and electromagnetic field distributions in semicon ductor devices, transmission lines, electronics packaging components, and other electromagnetic devices. The numerical techniques includes integral equations, finite difference, and finite element methods. Prerequisite: EE 423 or equivalent.

    EE 516. MATHEMATICAL METHODS IN ELECTRICAL ENGINEERING
                                                                                              summer
    Selected topics in applied mathematics stressing the unify ing concept of the function. Functions are introduced from the computer engineering point of view as notions of set, relation, and algebraic structure. The function concept is illustrated by homomorphism and isomorphism. Next, the function concept is interpreted in linear systems as transfor mation, illustrated with the Z, Laplace, and Fourier trans forms. The role of equations is considered. Finally, trans form methods are applied to the solution of partial differential equations of electro-physics, particularly the heat and wave equations. Prerequisite: Calculus and differential equations.

    EE 520. POWER ELECTRONICS
                                                                                                    fall
    Electronic processing of electrical energy. Overview of power electronics devices, such as DMOSFET, IGBT, and Thyristor. Power supply circuits from AC or DC sources as used in computers, inverters, and variable-speed motor drives. Analytical and numerical techniques for simula tion. Four laboratory exercises with formal reports are required. Lecture portion meets with EE 419. Prerequisites: EE 316 and approval of the graduate advisor.

    EE 521. DIGITAL SIGNAL PROCESSING
                                                                                                   spring
    Transversal and recursive filters, random discrete-time signals, spectral analysis, detection of signals in noise, estimation of signal parameters. Prerequisite: EE 302 or equivalent.

    EE 522 ESTIMATION THEORY
                                                                                                         alternate years
    Random processes and their characteristics. Random signals in linear systems. Methods of trend analysis and prediction. System identification. Least square estimation and Kalman filtering. Suboptimal filters. Noise in the information channels and sensitivity of estimation proce dures. Confidence analysis of estimates. Prerequisite: courses in probability and linear systems, or equivalent.

    EE 530. ELECTRONIC APPLICATIONS OF MATERIALS
                                                                                                    alternate years
    Device and circuit properties of emerging electronic devices. High- and low-temperature superconductive de vices; the voltage standard; GaAs MESFETs for high speed digital applications; display devices; crystalline and amor phous solar cells; vacuum electronics; applications of plasmas; surface acoustic wave devices. Four laboratory exercises with formal reports. Lecture portion meets with EE 435. Prerequisites: EE 332, 423, and approval of graduate advisor.

    EE 531. ELECTROMAGNETIC FIELD THEORY
                                                                                                              fall
    Topics in classical electromagnetic field theory with em phasis on time-varying fields including guided waves and radiation. Prerequisite: EE 322 or equivalent.

    EE 532. MICROWAVE ENGINEERING
                                                                                                          alternate years
    Apertures, waveguides; microwave network theory; analy sis and design of microwave circuits and systems; microwave devices. Prerequisite: EE 322 or equivalent.

    EE 533. ELECTROMAGNETIC COMPATIBILITY
                                                                                                            alternate years
    Signal paths: conductive, inductive, capacitive, electro magnetic. Shielding and grounding concepts. Methods of measurement. EMC specifications and standards. Prerequisite: EE 322 or equivalent.

    EE 534. SIGNAL TRANSMISSION IN ELECTRONICS PACKAGING
                                                                                                          alternate years
    General transmission line theory as applied to electronics packaging; digital signal transmission; interconnections; transient analysis of transmission lines by LaPlace Trans form. Prerequisite: EE 322 or equivalent.

    EE 540. COMMUNICATIONS SYSTEMS
                                                                                                                     spring
    Modulation and demodulation: Noise, channel capacity, optimum detection. Design of communication systems. Four laboratory exercises with formal reports required. Lecture portion meets with EE 477. Prerequisites: EE 302 and approval of graduate advisor.

    EE 541. COMMUNICATION SYSTEM ENGINEERING
                                                                                                                    alternate years
    Fundamentals of communication theory. Channel capacity, signal-noise ratio and error probability, information -theoretic bounds on transmission. Prerequisite: EE 477 or equivalent.

    EE 545. DIGITAL COMMUNICATION SYSTEMS
                                                                                                                            spring
    Transmission of information in digital form; coding; pack ets; error detection, correction; carriers; multipath and intersymbol interference; spread spectrum. Prerequisite: EE 477 or equivalent.

    EE 550. DIGITAL SYSTEMS II
                                                                                                                              spring
    Design of software and hardware for microprocessor appli cations. Processor architecture, microprogramming, and computer design. Four laboratory exercises with formal reports required. Lecture portion meets with EE 452. Pre requisite: EE 352 and approval of graduate advisor.

    EE 551. DIGITAL SYSTEMS DESIGN
                                                                                                                        alternate years
    Arithmetic and logic units, control units. Hardware de scription languages, design verification by simulation, subsystem design using primitives, microprogramming, interrupt, and input-output. Prerequisite: EE 452 or equiva lent.

    EE 552. COMPUTER DESIGN
                                                                                                                                  fall
    Computer architectures, virtual memory organization, in put-output, microprogramming, multiprocessor systems, memory hierarchies, pipelined architecture, RISC ma chines, fault-tolerant machines. Prerequisite: EE 452 or equivalent.

    EE 553. ADVANCED MICROPROCESSOR SYSTEMS
                                                                                                                               alternate years
    Advanced microprocessors, architectures, instruction sets. Memory and interface design consideration, performance evaluation. Prerequisite: EE 452 or equivalent.

    EE 554. VLSI CIRCUIT DESIGN ARCHITECTURES
                                                                                                                                            fall
    The MOS transistor, circuit characterization, and perfor mance estimation. CMOS logic and structured design: electrical design of logic circuits, clocking strategies, and design rules. CMOS systems and RISC architectures. Prerequisite: EE 452 or equivalent.

    EE 555. DIGITAL COMPUTER ARITHMETIC
                                                                                                                                        spring
    Classification and structure of finite number systems. Theory of modern high speed computer arithmetic, array arith metic processing techniques, case studies of representative arithmetic processors. Prerequisite: EE 452 or equivalent.

    EE 557. NEURAL NETWORK COMPUTERS
                                                                                                                                            fall
    Topics on neural network computing; such as network structure, retrieval and learning phases, computational requirements, and types of applications of neural net works. A number of neurocomputers are studied. This study includes digital as well as analog implementations and VLSI approaches. Prerequisite: EE 452 or equivalent.

    EE 559. MACHINE VISION
                                                                                                                                                   spring
    Discusses low and high level machine vision issues by using methods and tools (architectures, languages, and algorithms). Grouping of machine vision methods; image preprocessing; image processing; image compression; computer graphics (in brief); image analysis; pattern recog nition (syntactic methods); OCR systems and methods; image understanding; image interpretation; design project. Prerequisites: high-level programming languages (C or Pascal or Lisp or Prolog) and multiprocessor systems architectures, and EE 452 or equivalent.

    EE 560. INTRODUCTION TO ELECTRO-OPTICS
                                                                                                                                                     spring
    Electro-optic devices and systems. Black-body, LED and laser sources, photodetectors, modulators, fiber optics, Fourier optics. Design of electro-optic systems. Four laboratory exercises with formal reports required. Lecture portion meets with EE 474. Prerequisites: EE 423, college physics, and approval of the graduate advisor.

    EE 562. LINEAR INTEGRATED CIRCUIT APPLICATIONS
                                                                                                                                             alternate years
    Analog filters, power amplifiers, oscillators, phase lock loops, analog/digital interface. Four laboratory exercises with formal reports required. Lecture portion meets with EE 418. Prerequisites: EE 316 and approval of graduate advisor.

    EE 564. OPTOELECTRONICS AND FIBER OPTICS
                                                                                                                                                fall
    Optical fiber waveguides; single and multimode propagation; coupling and splicing; optical sources and detectors; introduction to holography. Prerequisites: EE 332 and 423, or equivalents.

    EE 567. POWER SUPPLY DESIGN
                                                                                                                                           summer
    Switched-mode power supply topologies, design, modeling, and test; related topics. Prerequisite: EE 419 or equivalent.

    EE 570. MATERIALS AND DEVICES
                                                                                                                                              fall
    Properties of electrical engineering materials; device design and fabrication, parameter measurement. Four labo ratory exercises with formal reports required. Lecture portion meets with EE 433. Prerequisites: EE 332 and approval of graduate advisor.

    EE 571. ELECTRONIC PROPERTIES OF MATERIALS
                                                                                                                                         alternate years
    Selected theory and application of solid state principles in electrical engineering: quantum mechanics, dielectrics, ferromagnetics, piezoelectrics, superconductors, amorphous materials, surfaces, optical interactions. Prerequisite: EE 332 or equivalent

    EE 574. MOS VLSI DESIGN
                                                                                                                                               alternate years
    NMOS and CMOS review; design rules; clocking and delays; system design examples. Prerequisites: EE 352 and 433, or equivalents.

    EE 575. SEMICONDUCTOR DEVICE PROCESSING
                                                                                                                                                spring
    Semiconductor device fabrication (crystal growth, oxidation, diffusion, etching, lithography, yield), theoretical foundations; process modeling and simulation. Computer simulations or laboratory exercises with formal reports required. Prerequisites: EE 433 and approval of graduate advisor.

    EE 576. SEMICONDUCTOR DEVICE DESIGN
                                                                                                                                                    fall
    Design of bipolar and MOS devices and IC systems; design examples; selected discrete device design; simulation. Prerequisite: EE 433 or equivalent.

    EE 577. SEMICONDUCTOR DEVICE PACKAGING
                                                                                                                                               alternate years
    Electrical, thermal, and mechanical design aspects of packaging. Devices and printed circuit boards, wire-bonding, die attachment, hybrids; electrical interconnections, materials, adhesion; reliability. Prerequisite: EE 332 or equivalent.

    EE 578. THIN FILMS AND NANOELECTRONICS
                                                                                                                                              alternate years
    Vacuum principles and instrumentation, deposition techniques (thermal, ion-beam, plasma sputtering), nucleation and growth; electrical, optical, mechanical properties; hybrid microelectronics, integrated optics; analytical techniques. Prerequisite: EE 332 or equivalent.

    EE 594. INDUSTRIAL INTERNSHIP
                                                                                                                             every semester, variable credit
    Engineering work experience in industry. Daily logbook, memo progress reports, and formal final report required. Prerequisite: permission of department chair.

    EE 595. RESEARCH SEMINAR AND LITERATURE
                                                                                                                                  every semester, 1 credit
    Presentation of the prospectus for the MSEE project or thesis. Attendance at weekly department research seminars, preparation of written summaries, and completion of library search in area of proposed research required.

    EE 596. THESIS SEMINAR
                                                                                                                                every semester, 2 credits
    Thesis students must demonstrate proficiency formulating their research results into short seminar presentations and also must prepare a research paper to professional journal standards. Attendance at weekly department research seminars and preparation of written summaries required. Prerequisites: EE 595 and 599. Seminar portion meets with EE 595.

    EE 597. INDEPENDENT STUDY
                                                                                                                              every semester, variable credit
    Independent study or graduate laboratory exercises supervised by electrical engineering faculty member. Prerequi sites: consent of instructor and department chair.

    EE 598. MSEE PROJECT
                                                                                                                              every semester, variable credit
    Hardware and software design and development or other project as defined by a learning contract, approved by major professor and project advisor. Seminar presentation required. Formal report submitted to EE department library.

    EE 599. RESEARCH THESIS
                                                                                                                                 every semester, variable credit
    Mentoring in the methods of research. Theoretical analy sis, computer modeling, software and hardware develop ment, and experimentation as determined by a thesis committee, faculty advisor, second reader or co-advisor, and department chair. Oral defense. Preparation of journal article required. Bound thesis submitted to Graduate School for the University Library.

    EE 606. ROBUST CONTROL OF MULTIVARIABLE SYSTEMS
                                                                                                                                  spring
    Comprehensive treatment of linear multivariable control: Stability and performance robustness analysis; computer -aided robust control system design frequency-domain minimax (H-infinity) synthesis and Linear-Quadratic -Gaussian synthesis with Loop-Transfer-Recovery. Prerequisite: EE 505 or equivalent.

    EE 652. PARALLEL COMPUTER ARCHITECTURES
                                                                                                                                      spring
    Parallel processing overview, multiple instruction multiple data (MIMD) architectures: wave front arrays, dataflow, reduction machines. Interconnection networks, parallel algorithm implementation, and memory organization for parallel machines. Prerequisite: EE 552 or equivalent.

    EE 656. MULTIPROCESSOR DESIGN EVALUATION
                                                                                                                              alternate years
    Stochastic models for the evaluation of multiprocessor systems design; stochastic processes, queuing models; stochastic Petri-nets; analysis of crossbar multiprocessor architectures; aspects of multiprocessor performance evalu ation; failures in multiprocessor and recovery techniques. Design project. Prerequisites: EE 552 and a course in probability or equivalent.

    EE 659. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
                                                                                                                                  fall
    Fundamental and advanced methods of artificial intelligence with applications to industry. Knowledge-based systems (knowledge representation, acquisition, conversion, manipulation, KB development, expert systems); AI languages (natural languages, NL translations, special AI languages); perception, learning and planning schemes (symbolic, connectionist, genetic algorithms, vision, speech, path planning); design project. Prerequisite: EE 559 or equivalent.

    EE 665. OPTICAL INFORMATION PROCESSING
                                                                                                                                    spring
    Applications of Fourier optics; optical processing elements; modulation and optical transfer functions; filtering, convolution and correlation; pupil synthesis, textural edge extraction; homodyning and heterodyning; wave mixing, harmonic generation; quantum well lasers, fiber optic amplifiers; optical computing; optical storage in photon echo systems; dichromated gelatin, photorefractive and computer-generated holograms. Prerequisite: EE 564 or equivalent.

    EE 667. MODELING SIMULATION AND CONTROL OF POWER SUPPLIES
                                                                                                                                      summer
    A practical course on the modeling, simulation, and control of hard and soft-switched circuits including demonstration of measurement techniques of loop gain, audio-susceptibility, and input and output impedances. A comprehensive course in control of power supplies. Prerequisite: EE 462 or 510 or equivalent or consent of graduate advisor.

    EE 697. INDEPENDENT STUDY
                                                                                                     every semester, variable credit
    Independent study supervised by electrical engineering faculty member. Student must obtain consent of instructor and department chairperson, who then determine description of program and number of credits.

    EE 698. PRE-DISSERTATION RESEARCH
                                                                                                      every semester, variable credit
    Exploratory research oriented toward PhD dissertation.

    EE 699. DISSERTATION
                                                                                                  every semester, variable credit
    Research for and preparation of PhD dissertation.

    EE 700. CONTINUOUS REGISTRATION
                                                                                                  every semester, 1 credit
    Required to maintain matriculation through any spring or fall semester when no other courses are taken. If the minimal one credit registration is not maintained, student must reapply for admission.

    EE 701. PRACTICUM FOR RESEARCH AND TEACHING ASSISTANTS
                                                                                                    every semester
    Required for all funded graduate assistants. Research or teaching supervised by faculty advisor.
     

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