Student Info > Professional Masters Program in Electrical Engineering
PMP Curriculum
The PMP is designed to allow students to earn the MSEE on a part-time basis over 9 regular academic quarters (Autumn, Winter, Spring) over three calendar years, excluding Summer enrollment, which is optional. Typical quarterly enrollment for PMP students (during Autumn, Winter, and Spring quarters) includes one 4-credit class and 1 credit of Seminar (EE 500), for a total of 5 credits during any given quarter. Courses in the PMP are scheduled in the evening, and designed so that students generally need come to campus only once per week. |
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The curriculum is organized around 5 Subject Areas |
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Students may choose courses from any combination of Subject Areas to complete the minimum credits required for the degree.
Subject Areas |
In addition to courses listed under each Subject Area, a fundamentals/prerequisite course (EE 505, Probability and Random Processes) is offered in Autumn quarter to prepare incoming students for success in subsequent PMP courses.
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The PMP requires 45 credits for completion of MSEE degree requirements |
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36 credits from completion of nine regular courses (at 4 credits each) 9 credits earned cumulatively (at 1 credit per quarter completed) as part of a quarterly Seminar series, EE 500.
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EE 500 is offered Autumn, Winter, and Spring quarters. It is generally not available during the optional Summer quarter.
Students may also register for Master's Independent Study, EE 599. A maximum of 5 credits of EE 599 may be applied to PMP Seminar requirements (substituting for a portion of the 9cr required of EE 500). |
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Sample of representative courses in the PMP curriculum
Students' first choice subject area may not always be available and will depend upon demand and instructor availability.
General fundamentals:
EE 505 Probability and Random Processes (4)
Foundations for the engineering analysis of random processes: set theoretic fundamentals, basic axioms of probability models, conditional probabilities and independence, discrete and continuous random variables, multiple random variables, sequences of random variables, limit theorems, models of stochastic processes, noise, stationarity and ergodicity, Gaussian processes, power spectral densities.
Electromagnetics:
EE 467 Antennas: Analysis and Design (4)
Fundamentals of antennas, analysis, synthesis and computer-aided design, and applications in communications, remote sensing, and radars. Radiation pattern, directivity, impedance, wire antennas, arrays, numerical methods for analysis, horn antennas, microstrip antennas, and reflector antennas.
EE 571 High Frequency Circuits and Antennas: Computation of Fields and Waves (4)
Planar microstrip structures are high frequency circuits and antennas used in communication, aerospace and computer industries. Examines the computation of fields and waves in such structures. How to calculate circuit parameters and radiation characteristics. Structures studied include microstrip lines, coupled lines, antennas, resonators, and discontinuities. Pre-req: EE 572
EE 572 Electromagnetic Theory and Applications I (4)
Electromagnetic waves in layered media; complex waves, leaky and slow waves, waves in periodic structures, optical fibers, ionosphere and other guiding structures; transients and dispersive media; waveguides and cavities; beam waves; eigenfunctions and eigenvalues.
E E 573 Electromagnetic Computations and Applications I (4)
Fundamentals of computational electromagnetics, method of moments, integral equations, basis functions, iterative methods, periodic structures and Green's Functions finite difference time domain method, Yee's lattice, absorbing boundary conditions, variational principles, and finite element method. Applications in antennas, waveguides, and scattering problems. Pre-req: EE 572
EE 579 Advanced Topics in Electromagnetics, Optics, and Acoustics (4)
Topics include "Microwave and RF Devices and Systems" - Expose students to microwave and RF circuit analysis and design. Both passive and active devices and circuits will be discussed. Students will also learn microwave CAD software and measurement techniques.
Signal, Image, and Video Processing:
EE 518 Digital Signal Processing (4)
Digital representation of analog signals. Frequency domain and Z-transforms of digital signals and systems design of digital systems; IIR and FIR filter design techniques, fast Fourier transform algorithms. Sources of error in digital systems. Analysis of noise in digital systems.
EE 586 Digital Video Coding Systems (4)
Introduction to digital video coding algorithms and systems. Theoretical and practical aspects of important topics on digital video coding algorithms, motion estimation, video coding standards, systems issues, and visual communications.
EE 587 Multimedia Compression and Networking (4)
Addresses four major components of multimedia: 1) data compression of multimedia (e.g., speech, audio, image, and video); 2) quality of service (QoS) issues for data transmission over IP; 3) multimedia streaming and conferencing applications; and 4) intellectual property management and protection (IPMP) of multimedia contents. Co-req: EE 518
Wireless Communications:
EE 506 Fundamentals of Wireless Communication (4)
Reviews fundamentals of wireless communications including signal and noise theory, modulation techniques, fading channels, error analysis, synchronization, and coding. Pre-req: EE 505
EE 565 Computer-Communication Networks I (4)
Network architectures and protocols; layered model; reliable transmission protocols at the data control layer; Transmission Control Protocols (TCP); routing algorithms; performance modeling, and analysis of packet-switched networks. Multi-access. Projects involving routing and multi-access principles. Pre-req: EE 505
EE 567 Mobile Radio Networks (4)
Wireless communication networks, including digital broadcasting, wireless LAN, wireless access networks and ultra wide band (UWB); OFDM modem design; MAC and RLP; TCP/UDP over wireless; cross-layer protocol optimization; radio network planning. Pre-req: EE 506 and 565
Controls:
EE 447 Control System Analysis I (4)
Linear Servomechanism theory and design principles. Pole-zero analysis, stability of feedback systems by root locus and real-frequency response methods. Design methods of Bode and Nichols. Introduction to advanced topics in automatic control theory, state variable methods.
MEMS:
EE 502 Introduction to Microelectro Mechanical Systems (4)
Theoretical and practical aspects in design, analysis, and fabrication of MEMS devices. Fabrication processes, including bulk and surface micromachining. MEMS design and layout. MEMS CAD tools. Mechanical and electrical design. Applications such as micro sensors and actuators, or chemical and thermal transducers, recent advances.
Contact Us
For additional information please contact DJ Miller (Manager of Industry Relations and Professional Programs) at mrmiller@u.washington.edu , or call the PMP Advising Office at 206-616-1351.
