Washington University, St. LouisEngineering

Graduate Courses

Register for these courses on WebSTAC
Dept # Course Name :  [Course Description On]  Credits
ESE 500 Independent Study 3
  Opportunities for graduate students to explore possible areas of interest with individual faculty members. Coordinated study programs dealing with areas not covered by formal course work are possible. Independent study credit can be changed to research credit (EE 599) any time during the semester if enrollment is appropriate. A final report is required to be submitted to the Department. 
ESE 501 Mathematics of Modern Engineering I 3
  Vectors and vector spaces, Matrix operations, System of linear equations, Eigenvalues and eigenvectors, Vector fields, Line and surface integrals, Solutions to ordinary and partial differential equations, Series expansions, Fourier Series. Prerequisite: ESE 318 and ESE 319 or ESE 317 or equivalent or consent of instructor. ESE Ph.D. students will not recieve credit for this course. 
ESE 520 Probability and Stochastic Processes 3
  Review of probability theory, models for random signals and noise, calculus of random processes, noise in linear and nonlinear systems, representation of random signals by sampling and orthonormal expansions. Poisson, Gaussian, and Markov processes as models for engineering problems. Prereq: ESE 326. 
ESE 523 Information Theory 3
  Discrete source and channel model, definition of information rate and channel capacity, coding theorems for sources and channels, encoding and decoding of data for transmission over noisy channels. Corequisite: ESE 520. 
ESE 532 Introduction to Nano-Photonic Devices 3
  Introduction to photon transport in nano-photonic devices. This course focuses on the following topics: light and photons, statistical properties of photon sources, temporal and spatial correlations, light-matter interactions, optical nonlinearity, atoms and quantum dots, single- and two-photon devices, optical devices, and applications of nano-photonic devices in quantum and classical computing and communication. Prerequisite: ESE 330 and Physics 217, or permission of instructor.  
ESE 543 Control Systems Design by State Space Methods 3
  Advanced design and analysis of control systems by state-space methods: review of linear algebra (vector space, change of basis, diagonal and Jordan forms), linear dynamic systems (modes, stability, controllability, observability, canonical forms), nonlinear dynamic systems and their linearization (stability, Lyapunov methods), servomechanism design, state feedback and output feedback control design, observers and state estimation, introduction to optimal control, state feedback optimal control design and analysis, multivariable frequency response methods, robustness theory. Design exercises with CAD (computer-aided design) packages for engineering problems. Prerequisite: ESE 441 or equivalent, or permission of instructor. 
ESE 551 Linear Dynamic Systems I 3
  Input-output and state-space description of linear dynamic systems. Solution of the state equations and the transition matrix. Controllability, observability, realizations, pole-assignment, observers and decoupling of linear dynamic systems. Prereq: ESE 351. 
ESE 572 Signaling and Control in Communication Networks 3
  The operation of modern communications networks is highly dependent on sophisticated control mechanisms that direct the flow of information through the network and oversee the allocation of resources to meet the communication demands of end users. This course covers the structure and operation of modern signaling systems and addresses the major design trade-offs which center on the competing demands of performance and service flexibility. Specific topics covered include protocols and algorithms for connection establishment and transformation, routing algorithms, overload and failure recovery and networking dimensioning. Case studies provide concrete examples and reveal the key design issues. Prerequisites: Graduate standing and permission of instructor. 
ESE 575 Fiber-Optic Communications 3
  Introduction to optical communications via glass-fiber media. Pulse-code modulation and digital transmission methods, coding laws, receivers, bit-error rates. Types and properties of optical fibers; attenuation, dispersion, modes, numerical aperture. Light-emitting diodes and semiconductor laser sources; device structure, speed, brightness, modes, electrical properties, optical and spectral characteristics. Prerequisites: ESE 330, 336. 
ESE 588 Quantitative Image Processing 3
  Introduction to the modeling processing and display of images. Two-dimensional linear systems and linear processing of images. Two-dimensional transform methods. Image acquisition and display technology. Psychophysical aspects of vision. Case studies in image processing (examples: tomography, radiology, ultrasonic imaging). Special algorithms for image processing (examples: boundary detection, segmentation, compression, interactive processing and display). Prerequisites: ESE 326, ESE 482. 
ESE 590 Electrical & Systems Engineering Graduate Seminar 0
  This satisfactory/unsatisfactory course is required for the M.Sc., D.Sc. and Ph.D. degrees in Electrical and Systems Engineering. A passing grade is required for each semester of enrollment and is received by attendance at regularly scheduled ESE seminars. M.Sc. students must attend at least 4 seminars per semester. D.Sc. and Ph.D. students must attend at least 7 seminars per semester. Part-time students are exempt except during their year of residency. Any student under continuing status is also exempt. Seminars missed in a given semester may be made up during the subsequent semester. 
ESE 591 Special Topics: Biomedical Optics I: Principles 3
    
ESE 596 Seminar in Imaging Science and Engineering 1
  This seminar course consists of a series of tutorial lectures on Imaging Science and Engineering with emphasis on applications of imaging technology. Students are exposed to a variety of imaging applications that vary depending on the semester, but may include multispectral remote sensing, astronomical imaging, microscopic imaging, ultrasound imaging, and tomographic imaging. Guest lecturers come from several parts of the university. This course is required of all students in the Imaging Science and Engineering program; the only requirement is attendance. This course is graded Pass/Fail. Prerequisite: Admission to Imaging Science and Engineering Program.  
ESE 599 Masters Research 3
   
ESE 600 Doctoral Research 9
   
ESE 883 Masters Continuing Student Status 0
   
ESE 884 Doctoral Continuing Student Status 0
   
ESE 885 Masters Nonresident 0
   
ESE 886 Doctoral Nonresident 0
   

Washington University in St. Louis School of Engineering & Applied Science, Department of Electrical & Systems Engineering

Green Hall, CB 1042, 1 Brookings Drive, Saint Louis, MO, USA 63130
Phone: (314) 935-5565, Fax: (314) 935-7500

Reduce Font SizeEnlarge Font SizePrint Page