Test 2: Report on Capitalism Simulation Game On February 20th‚ 2014‚ in Values in the Workplace‚ we played a game simulating capitalism. The goal of the game was to get into teams; each team had a certain amount of the same resource. These resources could be traded and bought from one another‚ with a goal of creating “Widgets”. These widgets are then bought from the consumer. The team‚ who ends up with the most amount of money‚ wins the game. The strategies that arose during the simulation were common
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Jordan Toschak Kevin Hannon and Megan Blanford Physical Properties of Clusters of Galaxies Monday (4/15/2013) Procedure For this experiment‚ a photograph of the Virgo Cluster of Galaxies will be needed to observe. The photograph will be sectioned into specific areas with coordinates like a map. Locate the area and identify the galaxies. Classify the galaxies as elliptical‚ spiral‚ or irregular. An elliptical galaxy will appear solid with not real defined “arms” or spirals coming from the
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SIMULATION OPTIMIZATION: APPLICATIONS IN RISK MANAGEMENT[1] MARCO BETTER AND FRED GLOVER OptTek Systems‚ Inc.‚ 2241 17th Street‚ Boulder‚ Colorado 80302‚ USA {better‚ glover}@opttek.com GARY KOCHENBERGER University of Colorado Denver 1250 14th Street‚ Suite 215 Denver‚ Colorado 80202‚ USA Gary.kochenberger@cudenver.edu HAIBO WANG Texas A&M International University Laredo‚ TX 78041‚ USA hwang@tamiu.edu Simulation Optimization is providing solutions to
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Title: Physical and Chemical Properties Purpose: To investigate the physical and chemical properties of pure substances as distinguishing characteristics. Procedure: 1. Set up a well plate with 24 pieces and fill two with either Dilute HCl or Dilute NaOH. 2. Set up four test tubes with any single substance in each one. 3. Observe and record original color and odor of substance. 4. Light flame with matches. -Hold test tube with substance in it over flame with clamps -Observe and record
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Chapter 1: Types of Simulation Contents Introduction ................................................................................................................................ 2 The Basic Simulation Process................................................................................................... 2 Figure 1.01: Basic Simulation Process............................................................................ 2 Figure 1.02: Decision Cycle.........................................
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Suggested Books: • Discrete-event System Simulation J. Banks‚ J.S. Carson and B.L. Nelson Prentice Hall International‚ 1994 SIMULATION AND MODELLING Tony Field and Jeremy Bradley {ajf‚jb}@doc.ic.ac.uk • Simulation Modeling and Analysis A.M. Law and W.D. Kelton McGraw Hill‚ 2000 • Probabilistic Modelling I. Mitrani Cambridge University Press‚ 1998 1 2 • A Compositional Approach to Performance Modelling (first three chapters) J. Hillston Cambridge University Press‚ 1996. On-line at:
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UNIVERSITY OF CALIFORNIA Los Angeles A Player Based Approach to Baseball Simulation A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Statistics by Adam Philip Sugano 2008 © Copyright by Adam Philip Sugano 2008 The dissertation of Adam Philip Sugano is approved. _______________________________________ Jan de Leeuw _______________________________________ Rick Paik Schoenberg _______________________________________
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Simulation Strategy Summary (Team A) Introduction This report illustrates an analysis of the strategy our team is about to follow‚ and the success measures we had chosen to reflect our strategy‚ with exhaustive explanation of the reasons to choose such a strategy and success measures. We will then give an implementation planning concerning four basic domains within the simulation to get a better idea of how the strategy functions. Strategy Our team will adopt a Niche Differentiation strategy that
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1. INTRODUCTION Simulation history is viewed in different angles including: -simulation uses e.g. analysis‚ training‚ research. - types of simulation models e.g. discrete-event‚ continuous‚ combined discrete - simulation programming languages or environments e.g. Arena‚ SIMSCRIPT‚SLAM and - application domains or communities of interest e.g. communications‚ manufacturing‚ military‚ transportation). The objective of this history is to highlight people‚ places‚ and events that have marked
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Computer Simulation * A software program that runs on any computer that attempts to simulate some phenomenon based on a scientist’s conceptual and mathematical understanding of the given phenomenon. * The scientist’s conceptual understanding is reduced to an algorithmic or mathematical logic‚ which is then programmed in one of many programming languages (Fortran‚ C‚ C++‚ etc.) and compiled to produce a binary code that runs on a computer. * Have become a useful part of modeling
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