MSE 582 Lecture 3: Lenses, Apertures and Resolution
out of 5 stars
20 Sep 2017 | | Contributor(s):: Eric Stach
Hina Fakirabhai Badgujar
ECE 612 Lecture 10: Threshold Voltage and MOSFET Capacitances
25 Jan 2014 | | Contributor(s):: Mark Lundstrom
Please view ECE 612 Lecture 13: Threshold Voltage and MOSFET Capacitances from the 2006 teaching.
ECE 612 Lecture 9: Subthreshold Conduction
Please view ECE 612 Lecture 12: Subthreshold Conduction from the 2006 teaching.
[Illinois] ECE 460 Optical Imaging Fall 2011 Lecture 23: EM fields
12 Jun 2013 | | Contributor(s):: Gabriel Popescu
Scalar fields, geometrical optics, wave optics, Gaussian beams, Fourier optics, spatial and temporal coherence, microscopy, interference chromatic and geometric aberrations, Jones matrices, waveplates, electromagnetic fields, and electro-optic and acousto-optic effects. Laboratory covers...
[Illinois] ECE 460 Optical Imaging Fall 2011 Lecture 24: Propagation in Anisotropic Media
[Illinois] ECE 460 Optical Imaging Fall 2011 Lecture 26: Review
[Illinois] BioNanotechnology and Nanomedicine: Applications in Cancer and Mechanobiology Lecture 26: A few basics of mechanics in light of cell biology
12 Jun 2013 | | Contributor(s):: Taher A. Saif
BioNanotechnology and Nanomedicine: Applications in Cancer and Mechanobiology provides an introduction to basic concepts of nanotechnology in mechanobiology and in cancer. This is a highly interdisciplinary field of research where knowledge from various disciplines is presented and integrated....
[Illinois] BioNanotechnology and Nanomedicine: Applications in Cancer and Mechanobiology Lecture 27: Cancer Metastasis and Elasticity of Micro-Environment
[Illinois] ECE 416 SPR Sensors II
21 May 2013 | | Contributor(s):: Brian Cunningham
In this lecture, it is a continuation of the SPR Sensors discussed in the last one. We start off with the definition of a Surface Plasmon, which is an oscillation of electrons at the interface between a good conductor and a...
ECE 595E Lecture 36: MEEP Tutorial II
30 Apr 2013 | | Contributor(s):: Peter Bermel
Outline:Recap from MondayExamplesMultimode ring resonatorsIsolating individual resonancesKerr nonlinearitiesQuantifying third-harmonic generation
PHYS 620 Lecture 14 : Surface Plasmons
22 Apr 2013 | | Contributor(s):: Roberto Merlin
ECE 695A Lecture 37: Radiation Induced Damage – An overview
20 Apr 2013 | | Contributor(s):: Muhammad Alam
Outline:Introduction and short history of radiation damageRadiation damage in various types of componentsSources of radiationA basic calculation and simulation approachesConclusions
ECE 695A Lecture 37R: Review Questions
Review Questions:Why is SOI more radiation hard compared to bulk devices? What do you feel about radiation hardness of FINFET?What type of radiation issues could arise for thin-body devices like FINFET?What is error correction code? Why does it correct for MBU?What is the difference between SEE...
ECE 595E Lecture 35: MEEP Tutorial I
18 Apr 2013 | | Contributor(s):: Peter Bermel
Outline:MEEP InterfacesMEEP ClassesTutorial examples:WaveguideBent waveguide
ECE 595E Lecture 34: Applications of Finite-Difference Time-Domain Simulations
Outline:Recap from WednesdayPeriodic and randomly textured light-trapping structuresOverviewExperimental motivationComputational setupSimulated field evolutionAbsorption spectraFront coatingsCorrelated random structures
ECE 695A Lecture 34: Scaling Theory of Design of Experiments
18 Apr 2013 | | Contributor(s):: Muhammad Alam
Outline:IntroductionBuckingham PI TheoremAn Illustrative ExampleRecall the scaling theory of HCI, NBTI, and TDDBConclusions
ECE 695A Lecture 34A: Appendix - Variability by Bootstrap Method
ECE 695A Lecture 33: Model Selection/Goodness of Fit
Outline:The problem of matching data with theoretical distributionParameter extractions: Moments, linear regression, maximum likelihoodGoodness of fit: Residual, Pearson, Cox, AkikaConclusion
ECE 695A Lecture 33R: Review Questions
Review Questions:With higher number of model parameters, you can always get a good fit – why should you minimize the number of parametersLeast square method is a subset of maximum likelihood approach to data fitting. Is this statement correct?What aspect of the distribution function does...