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JuliaAcademy

Computational Modeling in Julia with Applications to the COVID-19 Pandemic

via JuliaAcademy

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Overview

Learn about how to do computational modeling in the Julia programming language with applications focused on the COVID-19 Pandemic.

Syllabus

  1. Welcome
  2. Data Analysis
  3. Modeling Exponential Growth
  4. Stochastic Thinking
  5. Random Walk Models
  6. Characterizing Variability
  7. User Defined Types
  8. Markov Chains
  9. Continuous Random Variables
  10. Exponential Distribution
  11. Differential Equations
  12. Optimization and Linear Regression
  13. Networks

Taught by

Alan Edelman & David Sanders

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