|
|
Course Criteria
Add courses to your favorites to save, share, and find your best transfer school.
-
3.00 Credits
Credits: 3 Representation analysis and design of digital signals and systems. Covers sampling and quantization, Z-transform and Discrete Fourier Transform, digital filter realizations, design techniques for recursive and nonrecursive filters, Fast Fourier Transform algorithms, and spectrum analysis. Additional topics may include adaptive filtering, homomorphic digital signal processing, digital interpolation and decimation, and VLSI signal processors. Prerequisites ECE 320 and 528, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered S
-
3.00 Credits
Credits: 3 First course in digital-image processing; introduces scanning systems, focal plane array detectors, data acquisition methods, display hardware, image preprocessing algorithms, feature extraction, and basic image processing methods. Semester-long image processing project includes utilizing modern image processing system prototyping software. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Cross-Listed with TCOM 500 Comprehensive overview of telecommunications including current status and future directions. Topics include review of evolution of telecommunications; voice and data services; basics of signals and noise, digital transmission, network architecture, and protocols; local area, metropolitan, and wide area networks and narrowband ISDN; asynchronous transfer mode and broadband ISDN; and satellite systems, optical communications, cellular radio, personal communication systems, and multimedia services. Uses examples of real-life networks to illustrate concepts and gain insight. Prerequisites Graduate standing Notes For students outside of the program. Cannot be applied toward degrees in electrical or computer engineering. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Survey of computer architectures. Covers basic concepts, definitions, single and multiple processor machines, multicore processors, parallel processing, pipelining, instruction level parallelism (ILP), simultaneous multithreading (SMT), and current trends in computer architectures. Course designed for MS AIT students. Cannot be used for credit in MSCpE or MSEE. Prerequisites IT 212 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Introduction to architectures and protocols of computer networks and concept of packet switching. Topics include ISO standard layer model, physical interfaces and protocols, data link control, multiaccess techniques, packet switching, routing and flow control, network topology, data communication subsystems, error control coding, local area network, satellite packet broadcasting, packet radio, interconnection of packet-switching networks, network security and privacy, and various examples of computer networks. Prerequisites STAT 344 or equivalent, and graduate standing in VSITE. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F, S, SUM
-
3.00 Credits
Credits: 3 Introduction to the design of complex digital systems using hardware description languages. Emphasizes the design methodology based on the partitioning of a digital system into a datapath and control unit. Introduces a clear sequence of steps leading from specification to synthesizable, register transfer level (RTL), and fully verified HDL code. Covers VHDL for digital circuit design, including dataflow, structural, and behavioral coding styles. Introduces and illustrates the concepts of VHDL simulation, verification, synthesis, mapping, placing, routing, timing analysis and performance optimization. Requires semester long project devoted to the design of a complex digital system using VHDL as a hardware description language and FPGA as an implementation platform. Prerequisites Graduate standing. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Theoretical study of sequential machines. Topics include sets, relations and lattices, switching algebra, functional decomposition, iterative networks, representation, minimization and transformation of sequential machines, state identification, state recognizers, and linear and stochastic sequential machines. Prerequisites ECE 331, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered S
-
3.00 Credits
Credits: 3 Emphasizes dynamical systems approach to neural networks. Covers simple tools for neural network analysis, Liapunov stability, gradient descent minimization techniques, simulated annealing, perceptron, learning in feedforward and recurrent networks, back propagation, Boltzmann machines, recurrent backpropagation, adaptive resonance theory, selforganizing feature maps, associative memory, neural networks for optimization, and implementation issues. Prerequisites ECE 320 or equivalent. Hours of Lecture or Seminar per week 0 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Studies propagation, storage of microwave signals. Examines transmission lines, waveguides, resonators, scattering parameters, Smith charts, measurement techniques, instrumentation, and microwave striplines and microstrips. Prerequisites ECE 305, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
-
3.00 Credits
Credits: 3 Introduces optoelectronic devices for generation, detection, and modulation of light. Topics include electro-optic modulators, gas, solid state and semiconductor lasers, photodetectors, and detector arrays. Prerequisites ECE 305 and 333. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|