Introduction to Computational Science
Angela B. Shiflet and George W. Shiflet 
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Chapter 1 | Chapter 2 | Chapter 3 | Chapter 4 | Chapter 5 | Chapter 6 | Chapter 7

Chapter 8 | Chapter 9 | Chapter 10 | Chapter 11 | Chapter 12 | Chapter 13
 

Chapter 1                  Overview

Module 1.1      Overview of Computational Science

Module 1.2      The Modeling Process

Chapter 2                  Fundamental Considerations

          Module 2.1      Computational Toolbox—Tools of the Trade: Tutorial 1

Module 2.2      Errors

Module 2.3      Rate of Change

Module 2.4      Fundamental Concepts of Integral Calculus

Chapter 3                  System Dynamics Problems with Rate Proportional to Amount

         Module 3.1       System Dynamics Tool: Tutorial 1            

Module 3.2      Unconstrained Growth and Decay

Module 3.3      Constrained Growth

Module 3.4      System Dynamics Tool : Tutorial 2

Module 3.5      Drug Dosage

Chapter 4                  Force and Motion

Module 4.1      Modeling Falling and Skydiving

Module 4.2      Modeling Bungee Jumping

Module 4.3      Tick Tock—The Pendulum Clock

Module 4.4      Up, Up, and Away—Rocket Motion

Chapter 5                  Simulation Techniques

         Module 5.1       Computational Toolbox—Tools of the Trade: Tutorial 2

Module 5.2      Euler's Method

Module 5.3      Runge-Kutta 2 Method

Module 5.4      Runge-Kutta 4 Method

Chapter 6                  System Dynamics Models with Interactions

Module 6.1      Competition

Module 6.2      Spread of SARS

Module 6.3      Enzyme Kinetics

Module 6.4      Predator-Prey Models

Module 6.5      Modeling Malaria

Chapter 7                  Additional Dynamic Systems Projects

Module 7.1      Radioactive Chains—Never the Same Again

Module 7.2      Turnover and Turmoil—Blood Cell Populations

Module 7.3      Deep Trouble—Ideal Gas Laws and Scuba Diving

Module 7.4      What Goes Around Comes AroundThe Carbon Cycle

Module 7.5      A Heated Debate—Global Warming

Module 7.6      Cardiovascular System—A Pressure Filled Model

Module 7.7      Electrical Circuits—A Complete Story

Module 7.8      Fueling Our Cells—Carbohydrate Metabolism

          Module 7.9      Mercury Pollution—Getting on Our Nerves

Module 7.10    Managing to Eat—What’s the Catch?

Chapter 8                  Data-Driven Models

          Module 8.1      Computational Toolbox—Tools of the Trade: Tutorial 3

Module 8.2      Function Tutorial

Module 8.3      Empirical Models

Chapter 9                  Monte Carlo Simulations

Module 9.1      Computational Toolbox—Tools of the Trade: Tutorial 4

Module 9.2      Simulations

Module 9.3      Area Through Monte Carlo Simulation

Module 9.4      Random Numbers from Various Distributions

Chapter 10                 Random Walk Simulations

Module 10.1    Computational Toolbox—Tools of the Trade: Tutorial 5

Module 10.2    Random Walk

Chapter 11                 Diffusion

Module 11.1     Computational Toolbox—Tools of the Trade: Tutorial 6

Module 11.2     Spreading of Fire

Module 11.3     Movement of Ants

Chapter 12                  High Performance Computing

Module 12.1     Concurrent Processing

Module 12.2     Parallel Algorithms

Chapter 13                  Additional Cellular Automata Projects

Module 13.1     Polymers—Strings of Pearls

Module 13.2     Solidification—Let’s Make It Crystal Clear!

Module13.3      Foraging—Finding a Way to Eat

Module 13.4     Pit Vipers—Hot Bodies, Dead Meat

Module 13.5     Mushroom Fairy Rings—Just Going in Circles

Module 13.6     Spread of Disease—"Gesundheit!"

Module 13.7     HIV—The Enemy Within

Module 13.8     Predator-Prey—"Catch Me If You Can"

Module 13.9     Clouds—Bringing It All Together

Module 13.10   Fish Schooling—Hanging Together, Not Separately