Information Theory
- Motivate entropy (amount info sample)
- Entropy is 1) always > 0, 2) independent of values assumed by random
  variable
- Obtain differential entropy
- Prove/motivate uniform maximizes entropy
- Conditional entropy, with examples 
- KL divergence
- Convex and concave functions
-