Important external links
Cornell Notes: Advice on how to efficiently take written notes
Lecture notes: Required reading for this course
Class 1: August 24th, 2026
Orientation.
Class 2: August 26th, 2026
Probability. Random
variables
Wikipedia: Set notation
Problem Set #1: Material we will work on in class
Problem Set #1: Solutions
Class 3: August 28th, 2026
Discrete random
variables. Conditional probability.
Problem Set #2: Material we will work on in class
Homework #1 – due on Friday, September 4th, 2026
Class 4: August 31st, 2026
Independence. More on
discrete random variables.
Problem Set #2: Solutions
Class 5: September 2nd, 2026
Named discrete
distributions.
Wikipedia: The binomial theorem
Wikipedia: Pascal’s triangle
Mathematica demonstration: The binomial distribution
Problem Set #3: Problems we will work on in class
Mathematica demonstration: The geometric distribution
Wikipedia: The Poisson distribution
Class 6: September 4th, 2026
Expectation.
Variance.
Problem Set #4: Problems we will work on in class
Homework #2 – due on Friday, September 11th, 2026
Class 7: September 9th, 2026
More on expectation
and variance.
Problem Set #4: Solutions
Class 8: September 11th, 2026
Continuous
distributions.
Problem Set #5: Problems we will work on in class
Homework #3 – due on Friday, September 18th, 2026
Class 9: September 14th, 2026
More on continuous
distributions. The normal distribution.
Standard Normal Distribution Areas from the Wolfram Demonstrations Project by Ian McLeod
The Normal Distribution from the Wolfram Demonstrations Project by Ian McLeod
Area of a Normal Distribution from the Wolfram Demonstrations Project by Eric Schulz
Problem Set #5: Solutions
Class 10: September 16th, 2026
The cumulative
distribution function (cdf).
Problem Set #6: Problems we will work on in class
In-Term One: Topics
Practice for In-Term One – problems
Practice for In-Term One – solutions
Class 11: September 18th, 2026
More on the
cdf.
Problem Set #7: Problems we will work on in class
Class 12: February 9th, 2026
