Zombies ate my Project Made by Lifan Zhang

Slides:



Advertisements
Similar presentations
STUDENTS WILL DEMONSTRATE UNDERSTANDING OF THE CALCULATION OF STANDARD DEVIATION AND CONSTRUCTION OF A BELL CURVE Standard Deviation & The Bell Curve.
Advertisements

Any organism or particle that can get inside of you and make you sick is an infectious agent.
In this chapter we introduce the idea of a random variable as well as looking at its shape, center, and spread.
Fractals Joceline Lega Department of Mathematics University of Arizona.
Hilton’s Game of Life (HGL) A theoretical explanation of the phenomenon “life” in real nature. Hilton Tamanaha Goi Ph.D. 1st Year, KAIST, Dept. of EECS.
PROBABILITY WITH APPLICATION Random outcome  Example of rolling a die Repeating an experiment  Simulation using StatCrunch Software Probability in Real.
Katie Horton – EPS 109 Final Project. Method and Background  Create a 2d array of values to simulate coral growth in the Great Barrier Reef  One live.
Populations Chapter 5.
Vocabulary and pictures.  A group of organisms of one kind that live together in one location.
Contagion in Networks Networked Life NETS 112 Fall 2013 Prof. Michael Kearns.
Beyond Viruses…… Can create an “infection” that can lead to the death of the “infected organism? …appears to be able to replicate itself… …is not a bacteria!
Simulation of the Spread of a Virus Throughout Interacting Populations with Varying Degrees and Methods of Vaccination Jack DeWeese After doing some research.
CODE RED WORM PROPAGATION MODELING AND ANALYSIS Cliff Changchun Zou, Weibo Gong, Don Towsley.
By: Marlene Reyna and Guadalupe Esquivel
Jack DeWeese Computer Systems Research Lab. Purpose  Originally intended to create my own simulation with easily modified variables  Halfway through.
Modeling Interaction: Predator-Prey and Beyond CS 170: Computing for the Sciences and Mathematics.
2. PENCIL 3. GRAPHING CALCULATOR 1.NOTEBOOK AP Stats ‘Must Haves’
CS 110: Introduction to Computer Science Role Models in CS.
The Sampling Distribution of
Natural Selection Antibiotic Resistance. What is Antibiotic Resistance? Watch the Video Clip about tuberculosis in Russian prisons Why is the Russian.
Is there Hope for Children with Cancer? Yaritza Delgado.
Simulation of the Spread of a Virus Throughout Interacting Populations with Varying Degrees and Methods of Vaccination Jack DeWeese Computer Systems Lab.
Understanding Populations Chapter 8. Population: set of individuals within a species living in the same place at the same time. -Described in terms of.
The inference and accuracy We learned how to estimate the probability that the percentage of some subjects in the sample would be in a given interval by.
The expected value The value of a variable one would “expect” to get. It is also called the (mathematical) expectation, or the mean.
Viruses, Bacteria & Protists…oh MY! Disease causing agents that activate the immune system.
High School English Reading and Writing Reading 구문 해설 Lesson 6 A New Perspective 교과서 pp. 128~132 1.
Section 3: Bacteria, Viruses, and Humans
Section 7.3 Day 2.
ENCODING AND SENDING FORMATTED TEXT
Viruses Virus: A noncellular particle composed of genetic material that can invade living cells. Viruses are considered by most to be non-living since.
Teaching Computational Thinking with Games, Simulations and Animations
AP Statistics Empirical Rule.
CHAPTER 7 Sampling Distributions
Types of Diffusion Name: Period: Relocation Diffusion
Ecosystems.
Population – Limiting Factors
Differences between Bacteria & Viruses
The Dragon Curve (Jurassic Park Fractal) Kelsey Jones
Simple Erosion Model Made by Jeffrey Smith
Makin’ Mountains: by Chon Winger
STA 291 Spring 2008 Lecture 10 Dustin Lueker.
Unit 4 - Immunology and Public Health
Simulating the Spread of a Virus in a Modern Environment
Go to
Chapter 6: Random Variables
Population Ecology Chapter 14.
Viruses Virus: A noncellular particle composed of genetic material that can invade living cells. Viruses are considered by most to be non-living since.
Introduction to Artificial Intelligence Lecture 11: Machine Evolution
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Chapter 7: Sampling Distributions
1. You have sampled a population in which you know that the percentage of the homozygous recessive genotype (aa) is 36%. Using that 36%, calculate the.
Sampling Distribution Models
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
1/14/ Sampling Distributions.
Bio I – Unit 5 Review.
Modeling Heat Flow for a Lava Dike Intrusion Made by Ralph Till
Random deposition of particles:
Mechanisms of Evolution
Outbreaks of Disease.
Modeling the Spread of a Virus in a Modern Environment
The most exciting, in-depth, complicated movie you’ve ever seen
Arielle Little EPS 109, Fall 2009
Modeling the Spread of a Virus in a Modern Environment
Oscillating Wave Interference Pattern Nick Odlum
Particle Motion in an Electromagnetic Field Made by Shane Frewen
Presentation transcript:

Zombies ate my Project Made by Lifan Zhang In a world infected with zombies, what are your chances of survival? How does virus spread in a crowded area? What role does the density/the range/the probability of infection play in annihilating a population? There are three kinds of people: White dots : normal people Orange dots : infected people Red dots : diseased zombies The variables to manipulate: World = 50X50 grid Population = 100 Time = 400 Range = 3 Prob_infected = 0.5 Prob_diseased = 0.1 The initial conditions : Randomly placing 100 people in the world Randomly choosing a host zombie among the available population Let the infestation begin! My original plan was to simulate the growth of population, just like the lab we did for the sticky particles in diffusion limited aggregation simulation. However, it would be boring to see random particles (as humans) filling up the screen as time goes on. So the second idea I had was to introduce the death factor. I would first grow my world to a certain number of living organisms, then I’d release a virus, which kills and increases its range of infection as time goes on. After finishing the code, I didn’t think it was very interesting either, since the particles will just die out spreading from the infectious area. I need a new idea. The recent movies on the zombie apocalypse inspired me to improve upon my old ideas. Prepared for UC Berkeley course EPS 109 “Computer Simulations in Earth and Planetary Science”, fall 2009, Instructor: B. Militzer

Zombies ate my Project Made by Lifan Zhang