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  • 3.00 Credits

    Credits: 3 Studies components and integration of fiber-optic transmission systems. Topics include optical fibers, signal degradation, optical sources, power launching and coupling, photodetectors, receiver circuits, link analysis, and optical measurements. Prerequisites ECE 565 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 Imaging sensors are being used extensively in defense, homeland security, biomedical, scientific and consumer applications. This course provides introduction to the operating principles of the front-end optics and sensor technologies. In addition to the familiar cameras, the course will also discuss advanced microscopy, 3D medical imaging (tomography, MRI) and radar-imaging systems. Prerequisites Graduate status or permission of instructor.
  • 3.00 Credits

    Credits: 3 Studies principals of operation of semiconductor devices based on solid state physics. Topics include band theory of solids, intrinsic and extrinsic semiconductor properties, pn junction diode, bipolar junction transistor, Schottky diode, metal insulator semiconductor junctions, field-effect transistors, and hetero-structures. Prerequisites ECE 430 or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
  • 3.00 Credits

    Credits: 3 Studies design and analysis of digital integrated circuits, emphasizing CMOS technology. Reviews MOSFET operation and SPICE modeling. Covers analysis and design of basic inverter circuits, structure and operation of combinational and sequential logic gates, dynamic logic circuits, chip I/O circuits, and brief introduction to VLSI methodologies. Prerequisites ECE 331 and 430, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
  • 3.00 Credits

    Credits: 3 Studies design methodologies of CMOS-based analog integrated circuits. Topics include differential amplifiers, current sources, output stages, operational amplifiers, comparators, frequency response, noise, and computer-aided design. Prerequisites ECE 333 and 430, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0 When Offered F
  • 3.00 Credits

    Credits: 3 Selected topics from recent developments, and applications in various engineering disciplines. Designed to help professional engineering community keep abreast of current developments. Prerequisites Graduate standing or permission of department. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
  • 3.00 Credits

    Credits: 3 Covers principles of advanced 32-bit and 64-bit microprocessors. Includes microprocessor structure and architecture, pipeline hazards, instruction-level parallelism, superscalar and superpipelined execution, thread-level parallelism; and RISC principles and advantages. Offers examples of RISC-type microprocessors. Studies in detail Intel IA-32, Intel and HP IA-64, and Motorola M68000 families. Prerequisites ECE 511 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 Study of real-time operating systems and device drivers for embedded computers. Emphasizes microprocessor systems and associated input device sampling strategies, including interrupt driven and polled I/O. Covers basic input/output operations, analog to digital conversion methods, I/O programming techniques and process, and communication control methodologies. Involves design project. Prerequisites ECE 511 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 Detailed treatment of optimal control theory and its applications. Topics include system dynamics and performance criteria, calculus of variations and Pontryagin's minimum principle, computational methods in optimal control, and applications of optimal control. Prerequisites ECE 521 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 Foundations of parameter estimation using the least squares method. Identification of static and discrete dynamic system models. Batch and recursive (online) approaches. Model order estimation. Persistent excitation requirements. The effect of noise on model accuracy. Nonlinear estimation methods: generalized least squares and maximum likelihood. Applications in control, diagnostics, and economy. Prerequisites ECE 521 and 528, or permission of instructor. Hours of Lecture or Seminar per week 3 Hours of Lab or Studio per week 0
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