Computational Modeling in Julia with Applications to the COVID-19 Pandemic
Offered By: JuliaAcademy
Course Description
Overview
Learn about how to do computational modeling in the Julia programming language with applications focused on the COVID-19 Pandemic.
Syllabus
- Welcome
- Data Analysis
- Modeling Exponential Growth
- Stochastic Thinking
- Random Walk Models
- Characterizing Variability
- User Defined Types
- Markov Chains
- Continuous Random Variables
- Exponential Distribution
- Differential Equations
- Optimization and Linear Regression
- Networks
Taught by
Alan Edelman & David Sanders
Related Courses
Data Manipulation in JuliaDataCamp Intermediate Julia
DataCamp Introduction to Julia
DataCamp Decision Tree and Random Forest Classification using Julia
Coursera Project Network via Coursera Eine Kurze Einführung in Julia
Coursera Project Network via Coursera