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  • ECE 159: Discrete Mathematics

    1.00 Credits
    Duke University

    Mathematics as applied to finite and infinite collections of discrete objects, including techniques for solving engineering problems involving finite and infinite sets, permutations and combinations of elements, discrete numeric functions, finite and infinite sums. Mathematical methods needed to tackle real-world problems in computer engineering, applied mathematics, computer science, and engineering. Instructor: Staff
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  • ECE 162: Fundamentals of Microelectronic Devices

    1.00 Credits
    Duke University

    Fundamentals of semiconductor physics and modeling (semiconductor doping technology, carrier concentrations, carrier transport by drift and diffusion, temperature effects, semiconductor device models). Principles of semiconductor device analysis (current-voltage and capacitance-voltage characteristics). Static and dynamic operation of semiconductor contacts, PN junction diodes, MOS capacitors, MOS field-effect transistors (MOSFETs), and bipolar-junction transistors (BJTs). SPICE models and parameter extraction. Prerequisite: Electrical and Computer Engineering 51L. Instructor: Massoud
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  • ECE 163L: Introduction to Electronics: Integrated Circuits

    1.00 Credits
    Duke University

    Analysis and design of electronic circuits in bipolar and MOS technologies, with emphasis on both large-signal and small-signal methods. Circuits for logic gates, latches, and memories. Single-stage and multistage amplifiers and op amps. Circuits with feedback, including stability and frequency response considerations. Analog and mixed analog/digital circuit applications. Extensive use of SPICE for circuit simulation. Prerequisite: Electrical and Computer Engineering 51L. Instructor: Derby, Dwyer, or Fair
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  • ECE 164L: Electronic Design Projects

    1.00 Credits
    Duke University

    Electronics/photonics project laboratory in which multidisciplinary teams of students build and test custom designed circuits or electronic/photonic systems. Students gain experience in the design/build/test/demonstrate process. Requirements include: a design plan incorporating engineering standards and realistic constraints, a timeline indicating project milestones, a written project report, and oral presentations to the class. The completed design must consider most of the following: cost, environmental impact, manufacturability, ethics, health and safety, social and political impact. Prerequisites: Electrical and Computer Engineering 163L (or Biomedical Engineering 154L with consent of instructor) and at least one of 52L, 141 or 180. Instructor: Brooke, George, Jokerst, Ybarra
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  • ECE 171: Applications of Electromagnetic Fields and Waves

    1.00 Credits
    Duke University

    Solution techniques applied to static and dynamic field problems. Discussions and example applications include the following topics: waves and transmission lines, waveguides and resonators, antennas and radiation, and electromagnetic forces and energy. Prerequisite: Electrical and Computer Engineering 53L. Instructor: Carin or Joines
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  • ECE 176: Thermal Physics

    1.00 Credits
    Duke University

    Thermal properties of matter treated using the basic concepts of entropy, temperature, chemical potential, partition function, and free energy. Topics include the laws of thermodynamics, ideal gases, thermal radiation and electrical noise, heat engines, Fermi-Dirac and Bose-Einstein distributions, semiconductor statistics, kinetic theory, and phase transformations. Also taught as Physics 176. Prerequisites: Mathematics 103 or equivalent and Physics 51L, 62L or equivalent. Instructor: Staff
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  • ECE 180: Fundamentals of Digital Signal Processing

    1.00 Credits
    Duke University

    An introduction to theory and applications of digital signal processing. Concepts, analytical tools and design techniques to process signals in digital form. Signal sampling and reconstruction, discrete-time transforms including the z-transform, discrete-time Fourier transform, and discrete Fourier transform. Discrete systems including the analysis and design of FIR and IIR filters. Introduction to applications of digital signal processing such as image processing, and optimal detection of signals in noise. Discrete system simulations using MATLAB. Prerequisite: Electrical and Computer Engineering 54L and Statistics 113 or Mathematics 135 or Electrical and Computer Engineering 255 or permission of instructor. Instructor: Huettel or Nolte
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  • ECE 182L: Sound in the Sea: Introduction to Marine Bioacoustics

    1.00 Credits
    Duke University

    Fundamentals of marine bioacoustics with a focus on current literature and conservation issues. Topics include: introduction to acoustics; acoustic analysis methods and quantitative tools; production and recording of sound; ocean noise; propagation theory; active and passive acoustics; hearing, sound production and communication in marine organisms, potential impacts of anthropogenic noise; and regulation of marine sound. Labs will focus on methodologies used for generating, recording and analyzing marine sounds. Taught in Beaufort. Course prerequisites: Biology 25L and Physics 41L or 53L (or equivalent Introductory Biology and Physics courses) or instructor consent. Instructor: Piniak
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  • ECE 184: Introduction to Digital Communication Systems

    1.00 Credits
    Duke University

    Introduction to the design and analysis of modern digital communication systems. Communication channel characterization. Baseband and passband modulation techniques. Optimal demodulation techniques with performance comparisons. Key information-theoretic concepts including entropy and channel capacity. Channel-coding techniques based on block, convolutional and Trellis codes. Equalization techniques. Applications to design of digital telephone modems, compact discs and digital wireless communication systems. Prerequisite: Electrical and Computer Engineering 54L and Statistics 113 or equivalent. Instructor: Krolik
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  • ECE 186: Wireless Communication Systems

    1.00 Credits
    Duke University

    Fundamentals of wireless system analysis and design; channel assignment, handoffs, trunking efficiency, interference, frequency reuse and capacity planning. Path loss models including large and small scale, multipath interference, diffraction, and scattering. Signal manipulation and conditioning including modulation/demodulation, equalization and speech coding. Air interference standards and multiple access techniques including CDMA, TDMA and OFDM. Prerequisites: ECE 54L and one of STAT 113, ECE 255 or MATH 135. Instructor: Ybarra
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