Lecture 1: Combinatorial analysis, part 1.
Lecture 2: Combinatorial analysis, part 2. Introduction to probability.
Lecture 3: Inclusion-exclusion, equally likely outcomes.
Lecture 4: Conditional probability, part 1.
Lecture 5: Conditional probability, part 2.
Lecture 6 (substitute, no notes): Independence.
Lecture 7 (substitute, no notes): Conditional probability as probability.
Lecture 8: Conditional probability wrap up, introduction to random variables.