During Summer 2012, I taught Math 20: Discrete Probability. The course website can be found here. During this quarter, I spent 6 Thursdays (during Dartmouth’s x-hour) doing problem sessions, during which students worked in groups to solve interesting problems. Other x-hours were dedicated to learning Matlab.
The problem session handouts are listed below.
- Problem Session 1 – Basic Probability
- Problem Session 2 – Conditional Probability
- Problem Session 3 – Markov’s and Chebyshev’s Inequalities
- Problem Session 4 – Randomized Response Method
- Problem Session 5 – Markov Chains (My favorite)
- Problem Session 6 – Review
Problem Session 5 was my favorite because it gave the students the freedom to invent their own scenarios. Many modeled a Markov chain based on their life as a students while others came up with fanciful scenarios or scenarios from pop culture. It was certainly the most fun of the problem session answers to read through.