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MSE 582 Lecture 3: Lenses, Apertures and Resolution
out of 5 stars
20 Sep 2017 | | Contributor(s):: Eric Stach
ECE 612 Lecture 9: Subthreshold Conduction
25 Jan 2014 | | Contributor(s):: Mark Lundstrom
Please view ECE 612 Lecture 12: Subthreshold Conduction from the 2006 teaching.
ECE 612 Lecture 10: Threshold Voltage and MOSFET Capacitances
Please view ECE 612 Lecture 13: Threshold Voltage and MOSFET Capacitances 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...
ECE 695A Lecture 32R: Review Questions
17 Apr 2013 | | Contributor(s):: Muhammad Alam
Review Questions:Why do people use Normal, log-normal, Weibull distributions when they do not know the exact physical distribution?What is the problem of using empirical distributions? What are the advantages?If you must choose an empirical distribution, what should be your criteria? (Nos. of...