• ECE 5330: Health Technology

  3.00 Credits

  University of Utah

  
  Introduction to sensor, design of amplifiers to measure biopotentials, measurement of cardiovascular dynamics (pressure, sound, flow, volume of blood), respiratory system (pressure, flow, concentration of gases), biosensor to measure chemical concentrations within the body via catheters or implants, medical imaging (x-ray, MRI, PET, Doppler ultrasound), and therapy (pacemakers, defibrillator).
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• ECE 5331: Optics for Energy

  3.00 Credits

  University of Utah

  
  In this class, we will study the exciting intersection of optics and the engineering challenges associated with generation, distribution and utilization of energy with the specific goal of generating novel ideas and business plans for commercialization.
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• ECE 5340: Comp EM w/ Code Writing

  3.00 Credits

  University of Utah

  
  Students will formulate and solve real-world electromagnetics problems computationally. Applications areas range from geolocation to next-generation prosthetic limbs. Emphasis will be on two of the most popular computational electromagnetic techniques: the finite-difference time-domain (FDTD) method and the finite element method (FEM). Students will write their own codes from scratch. For students who already or might use commercially available electromagnetic software, this course will provide an understanding of the internal workings of such 'black box' programs. Prerequisites: "C-" or better in ECE 3300 AND Full Major status in (Electrical Engineering OR Computer Engineering).
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• ECE 5350: Comp EM w/ Comm Solvers

  3.00 Credits

  University of Utah

  
  Introduction to commercial computation electromagnetics solvers. Solvers can include: CST Studio Suite, Ansys HFSS and COMSOL Mulitphysics. Application projects draw from: antenna design, metamaterials, signal integrity, implanted device telemetry, electromagnetic exposure and other topics of interest in electrical engineering. Prerequisites: "C-" or better in ECE 3300 AND Full Major status in (Electrical Engineering OR Computer Engineering).
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• ECE 5360: Bioinstrumentation

  3.00 Credits

  University of Utah

  
  Introduction to bioelectrical phenomena taking place in the organism in the context of medical diagnosis, monitoring, and therapy techniques. Low-frequency Maxwell's equations under quasi-static approximation, electrical properties of biological tissues, electrical potential distribution in tissues. Systems for measuring biologic signals will be discussed including biopotentials. Electrical hazards, safety, measuring instruments, and techniques will be discussed. There will be applications to engineering design including systems and sensing and driving circuits. There are guest lectures from experts in bioelectricity fields.
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• ECE 5410: Intro Optics

  3.00 Credits

  University of Utah

  
  This is an introductory course to the principles of light propagation through optical components and in optical systems. Topics covered in geometrical optics include ray propagation through and imaging with single and multi-lens systems, the ray transfer matrix approach for analyzing optical systems, and simple optical instruments. Topics covered in physical optics include wave interference, wave and Gaussian beam propagation, and light diffraction and imaging via the spatial frequency representation. Prerequisites: 'C-' or better in ECE 3300 AND Full Major status in (Electrical Engineering OR Computer Engineering)
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• ECE 5411: Optical Comm. Syst.

  3.00 Credits

  University of Utah

  
  Systematic study of modern optical-fiber communication systems; Loss-limited systems vs. dispersion-limited systems; Point-to-point links, broadcast and distribution systems, and optical networks; Wavelength-division multiplexing (WDM) and sub-carrier multiplexing (SCM); optical amplifiers and dispersion compensation; Emphasis is on system design. Includes hands-on laboratory experience. Prerequisites: ECE 3300 AND Full Major status in (Electrical Engineering OR Computer Engineering).
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• ECE 5412: Fund of Optoelectronics

  3.00 Credits

  University of Utah

  
  This is an introductory lecture course to the fundamental principles of semiconductor optoelectronic devices. Together with ECE 5410, these two courses provide a full introduction to fundamentals of optics and optoelectronics. This course will first review basic elements of quantum mechanics, light-matter interaction, and semiconductor physics. After that, we will study modern optoelectronic devices for the generation, detection, and modulation of light. Device examples include laser diodes, light-emitting diodes, optical modulators, photoconductors and photodiodes. At the end of this course, cutting-edge research such as optical machine learning hardware will be introduced. Prerequisites: 'C-' or better in (ECE 3200 OR ECE 3300) AND (Full Major status in Electrical Engineering OR Computer Engineering)
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• ECE 5440: Integrated Photonics

  3.00 Credits

  University of Utah

  
  This course introduces the theory and applications of nanophotonic devices built with high refractive index contrast, especially those based on silicon. Topics include waveguides, couplers, resonators, photonic crystals, and nonlinear optical devices. Both analytical and numerical techniques for device design will be discussed. A few cutting-edge research topics will be discussed, including devices based on emerging materials and integrated optical computing systems. Prerequisites: ECE 3300 AND Full Major status in (Electrical Engineering OR Computer Engineering)
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• ECE 5480: Diag & Thera Ultrasound

  3.00 Credits

  University of Utah

  
  This class provides an introduction to ultrasonic imaging and therapies. The class covers the principles of acoustic wave propagation in materials and tissues and demonstrates how these interactions are used for diagnostic imaging and for noninvasive and targeted therapies. New, emerging types of imaging and therapies are also presented. Prerequisites: "C-" or better in ((PHYS 2220 OR PHYS 3220) OR AP Physics C Electricity & Magnetism score of 4 or better) AND Full Major status in (Electrical Engineering OR Computer Engineering).
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