# Julia_Tutorial_on_AI4MathBiology **Repository Path**: Tomhappy/Julia_Tutorial_on_AI4MathBiology ## Basic Information - **Project Name**: Julia_Tutorial_on_AI4MathBiology - **Description**: No description available - **Primary Language**: Unknown - **License**: MIT - **Default Branch**: main - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2026-01-08 - **Last Updated**: 2026-01-08 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Tutorial on coupling of transmission dynamics and deep learning For a 2-hour lecture in mathematical biology class (taught by Prof Jianhong Wu) in York University. [Websites](https://song921012.github.io/Julia_Tutorial_on_AI4MathBiology/) ## Set up the `Julia` environment Install `Julia` and `VSCode` as [basics](./1-basics.ipynb) guided. Then open vscode terminal (shortcuts "CTRL+`") ```bash $ julia _ _ _ _(_)_ | Documentation: https://docs.julialang.org (_) | (_) (_) | _ _ _| |_ __ _ | Type "?" for help, "]?" for Pkg help. | | | | | | |/ _` | | | | |_| | | | (_| | | Version 1.10.0 (2023-12-25) _/ |\__'_|_|_|\__'_| | Official https://julialang.org/ release |__/ | julia> ] (@v1.10) pkg> activate . (Julia_Tutorial_on_AI4MathBi...) pkg> precompile ``` ## Notes PDF and Website [Notes](./Julia-Tutorial-on-AI-for-Mathematical-Biology.pdf) [Websites](https://song921012.github.io/Julia_Tutorial_on_AI4MathBiology/) ## Slides [Slides](./20231022Epi_informed_deep_learning.pdf) ## References - [couple of DiffEq and DNN](./2022-JAAC-SongXiao.pdf) Song P, Xiao Y. Estimating time-varying reproduction number by deep learning techniques[J]. J Appl Anal Comput, 2022, 12(3): 1077-1089. - [Symbolic Regression](./2023WuDLBehaviourspringer.pdf) Song P, Xiao Y, Wu J. Discovering First Principle of Behavioural Change in Disease Transmission Dynamics by Deep Learning[M]//Mathematics of Public Health: Mathematical Modelling from the Next Generation. Cham: Springer International Publishing, 2023: 37-54. ## Acknowledgement Some contents are from - [Julia for Optimization and Learning](https://juliateachingctu.github.io/Julia-for-Optimization-and-Learning/stable/) - [Scientific Programming in Julia](https://juliateachingctu.github.io/Scientific-Programming-in-Julia/dev/)