During this course, you will develop a computational prowess that will aid in your understanding of physical biology. These will be done using Jupyter notebooks through Google Colab, so you will need to sign into a Google Account to create new notebooks.

We will post links to Jupyter Notebooks hosted on Colab of the tutorial sessions here.

Tutorials

Tutorial 0.0 – A Primer On Jupyter Notebooks and Google Colab| This tutorial explains what a Jupyter Notebook is and how to use it on Google Colab.
Tutorial 0.1 – A Primer On Python Syntax| This tutorial gives a quick intro to programming in Python.

Exercises

Exercise 1 - Day 1| Exponential growth; numerical integration by Forward Euler
Exercise 2 - Day 2| Simulating chemical master equations through production and degradation, as well as age distribution amongst a population.
Exercise 3 - Day 3| Stochastic 1D diffusion applied to a diffusing element reaching a target. Spoiler this take infinite time. So one can add some resets to the origin? What happens them? Stay tuned….
Exercise 4 - Day 4| Natural mixtures are very potent. This is to say, one might smell a natural mixture like a banana odor very strongly compared to a monomolecular odor build by a crazy chemist, at equal concentrations. Could we try to epxlain that?…
Exercise 5 - Day 5| Least squares, but with dynamics.
Exercise 6 - Day 5| Studying the movement of worms; describing movement with minimal variables