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SIMIODE EXPO 2021 - Keynote Speaker - An Overview of Data Science Problems in the Sports Industry
16 Mar 2021 | Contributor(s):: Brian Macdonald
SIMIODE EXPO 2021 - Keynote Speaker - An Overview of Data Science Problems in the Sports IndustryBrian Macdonald, Statistics and Data Science, Carnegie Mellon University, Pittsburgh PA USA (Video)This was a presentation made at the SIMIODE EXPO 2021 -...
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SIMIODE EXPO 2021 - B4-R4 - Jeffrey Alden - Analytics at GM, Briefly
23 Feb 2021 | Contributor(s):: Jeff M Alden
SIMIODE EXPO 2021 - B4-R4 - Jeffrey Alden - Analytics at GM, BrieflyJeffrey M. Alden, General Motors (GM), Ypsilanti MI USAThis was a presentation made at the SIMIODE EXPO 2021 - see program.Abstract: A brief overview of an analytics career at GM with an example of using...
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1-096-S-OpAmpDifferentiator
09 Aug 2020 | | Contributor(s):: Virgil Ganescu
In this validation-oriented setup, the output waveform (function) of a operational amplifier type of differentiator circuit is determined analytically from the first order governing ordinary differential equation and the results are compared with the data acquired from analyzing the numerical...
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10-001-S-TilingHallway
12 Sep 2019 | | Contributor(s):: Rob Krueger, Eric Stachura
Students will investigate difference equations through the context of tiling hallways. Students will observe patterns in the tiling which will lead to a difference equation model. Solutions will be calculated by iteration. Then students will be introduced to the concept of the shift...
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1-060-Text-S-RegularPerturbation
21 Apr 2019 | | Contributor(s):: Mark Lau
This Technique Narrative presents an introduction to a set of analytical approximations referred to as regular perturbation.This is a particular mathematical tool within the broader set of perturbation methods. In general, perturbation methods are analytical techniques for obtaining...
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1-003-S-Text-IntroNumericalMethods
10 Jan 2019 | | Contributor(s):: Brian Winkel
We ask students to develop two numerical methods for solving first order differential equations geometrically and to compute numeric solutions and compare them to the analytic solutions for a number of different step sizes.
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1-053-S-SlimeSpread
30 Aug 2018 | | Contributor(s):: Brian Winkel
We offer a video showing real time spread of a cylinder of slime and challenge students to build a mathematical model for this phenomenon.
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2015-Knott, G. D. and D. Kerner - Numerical to Closed Form Solution - Derivation
16 Sep 2015 | | Contributor(s):: Brian Winkel
Knott, G. D. and D. Kerner. 2015. Derivatives. Civilized Software, Inc. Publishers of MLAB: www.civilized.com.This is a very nice technical paper on moving from numerical solutions to closed form analytic solutions as evidence of convergence of numerical efforts and is offered by the...
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1-031-S-CoolIt
02 Jun 2015 | | Contributor(s):: Brian Winkel
We offer data on the temperature of water in a beaker which resides in a room of constant temperature and also in an environment of nonconstant temperature. Students are encouraged to consider both empirical and analytic modeling approaches. We offer additional data sets in Excel spreadsheets...