Capital University

Educational Materials for Undergraduate Computational Studies

This collection of Educational Materials for Undergraduate Computational Science was made possible by grants from the National Science Foundation, the W. M. Keck Foundation, and Battelle. Module descriptions, complete module information, and module author contact information is available by clicking on the disciplinary headings.

  • Modeling Populations and Habitats for Kirtland’s Warbler 
  • Classification of Hybrids Using Genetic Markers and Maximum-Likelihood Estimates 
  • Tumor Dynamics 
  • Gene Identification
  • Protein Identification 
  • Diffusion in Biology: A Mathematical Modeling Approach
  • Modeling the Cardiovascular System using STELLA®
  • Modeling Mushroom Fairy Rings
  • Modeling Malaria
  • Spread of SARS
  • Pharmacokinetics: Mathematical Analysis of Drug Distribution in Living Organisms
  • Biological Curve Fitting
  • Sequence Alignment
  • Modeling Neurophysiology Using STELLA®
  • Phylogeny Project
  • Sequence Analysis
  • Molecular Structure and Interaction 
  • Chemical Kinetics
  • Quantum Chemistry in the Environment
  • Molecular Mechanics
  • Introduction to Computational Chemistry
  • Diffusion Limited Aggregation
  • The 1-D Hydrogen Atom
  • Ablation, Aerobraking and Airbursting of a Hypersonic Projectile in Earth's Atmosphere 
  • Heat Flow on the Jovian Satellite Europa
  • Computational Analysis of the Orbital Motion in General Relativity and Newtonian Physics
  • Electric Potential Due to Continuous Charge Distribution
  • Enzyme Kinetics
  • Cost of Financial Portfolio
  • Spread of Infectious Disease
  • Satellite Surveillance
  • Computable Performance Metrics: Module 0: Floating Point Precision
  • Computable Performance Metrics: Module 1: Floating Point Precision: MACHAR – Test for IEEE 754
  • Computable Performance Metrics: Module 2: Computing Error and Work Estimators
  • Traveling Salesperson Problem: A Parallel Approach
  • The Edit Distance Problem: A Parallel Approach for Distributed Memory Machines
  • N-Body Problem: A Parallel Programming Approach 
  • Mandelbrot Set: A parallel Programming Approach 
  • Modeling the Performance of a Solar Heated Sunroom: Heat Gain, Storage, and Loss 
  • Well Hydraulics and Capture Zone 
  • A Tale of Two Lakes: Environmental Mass Balance Modeling
  • How Far Will It Go? Predicting the Extent of Groundwater Plumes
  • Global Climate Modeling
  • Groundwater Flow Modeling
  • Phosphorus Cycling Model 
  • Option Pricing 
  • Cash Flow Analysis and Capital Asset Pricing Model
  • Anatomy of a Large Company Acquiring a Small Privately-Owned Company
  • Exploring and Visualizing Strain 
  • Stresses and Faulting 
  • Spherical Magma Reservoir Failure: Exploring Some Geological Implications of Stress Concentration Around a Pressurized Cavity
  • Thermal Conduction: A Tool for Exploring Geological Processes 
  • Landslides and Slope Stability Analysis Module
  • First Order Difference Equations
  • First Order Differential Equations
  • Higher Order Differential Equations
  • Higher Order Linear Difference Equations
  • Laplace Transformations
  • Systems of Differential Equations
  • Systems of Difference Equations 
  • Fourier Transforms, Fourier Series and the FFT 
  • Did he do it? Evaluating Evidence Using Bayesian Networks
  • Pharmacokinetics: Mathematical Analysis of Drug Distribution in Living Organisms
  • Vector Spaces and Linear Transformations
  • Systems of Linear Equations
  • Street Lighting
  • Image Reconstruction in Emission Tomography I: Non-iterative Methods
  • Image Reconstruction in Emission Tomography II: Iterative Methods
  • Spontaneous Magnetization 
  • Computational Analysis of the Orbital Motion in General Relativity and Newtonian Physics
  • Projectile Motion
  • Artificial Neural Networks 
  • Discounting of Delayed Reinforcers under Asymmetrical Choice Conditions
  • Sex, Sex Role, and Relationships
  • Modeling Academic Achievement in the Context of AD/HD
  • Interactive Schedule
  • Rescorla Wagner Model of Associative Learning
  • Performance Anxiety and an Introduction to Catastrophe Theory
  • Modeling Self-Esteem
  • Optimal Foraging Theory
  • Marching Cubes 
  • Scientific Visualization
  • Volume
  • Vector
  • Visualization Pipeline
  • Isosurface
  • Notes
Capital University
1 College and Main, Columbus, OH 43209-2394
614-236-6011
Dr. Andrea M. Karkowski
Interim co-Director, Center for Computational Studies
Capital University
College of Arts and Sciences
1 College and Main
Columbus, OH
43209-2394
(614) 236-6449