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
Probability - The Science of Uncertainty and DataMassachusetts Institute of Technology via edX Introduction to Probability, Statistics, and Random Processes
University of Massachusetts Amherst via Independent Bioinformatique : algorithmes et génomes
Inria (French Institute for Research in Computer Science and Automation) via France Université Numerique Algorithms for Big Data
Indian Institute of Technology Madras via Swayam Quantitative Model Checking
EIT Digital via Coursera