01	Introduction to the course, computing facilities, Python
02	Python basics, arrays, plotting
03	Numerical solution to ODEs; A first stab at programming
04	Test your code!; Accuracy and efficiency
05	Numerical Error
06	Supersonic freefall: another ODE example
07	Using latex to express yourself
08	Root-finding
09	Linear Algebra I
10	Linear Algebra II
11	Numerical Integration I
12	Numerical Integration II
13	Data fitting
14	A simple pendulum. What could go wrong?
15	What could a little damping do? Chaos!
16	Phase Space
17	Period Doubling, In and Out of Chaos
18	Frequency analysis, Fourier Transforms
19	FFTs, Power Spectra
20	Random Processes, Monte Carlo integration
21	Monte Carlo Methods, Random Walks
22	Ising model
23	Phase transitions I
24	Phase transitions II
25	Boundary value problems
26	Wave equation, finite difference method
27	Waves: reflection and transmission