Sections

Brief Description

Week 1

1.2, 3.1

Basic probability, combinatorics and permutations.

Week 2

3.2, 4.1

Combinations and conditional probability

Week 3

6.1, 6.2

Expected value and variance

Week 4

5.1

Important distributions.

Week 5

8.1

Law of large numbers.

Week 6

2.2, 5.2

Continuous density functions and the uniform, exponential and normal densities

Week 7

9.1, 9.2

Central limit theorem: Bernoulli trials and Central limit theorem: Independent trials

Week 8

11.2, 11.3

Introduction to Markov chains; absorbing Markov chains

Week 9

11.3

Regular Markov chains, ergodic Markov chains