We will learn to model problems and systems using mathematics and computers. We'll be using the python computer language (which I will teach everybody at the start of the course). We'll cover statistical models, automata models, and classical applied-math models.
We'll also discuss the nature of modelling, based on readings from Nate Silver's Signal and the Noise.
At the end of the course, you'll have the start of a very valuable skill set.
Canopy - python software for scientific computing that we'll make use of in class.
Example code for using log-transformed linear regression to obtain a scaling law for Huxley's bird-egg data.