Lecture Notes

(notes) (video) Lecture 1 - Sets (8/10/20)
(notes) (video) Lecture 2 - Counting Elements of Sets (8/12/20)
(notes) (video) Lecture 3 - Basic Counting Principles (8/14/20)
(notes) (video) Lecture 4 - Permutations (8/17/20)
(notes) (video) Lecture 5 - Combinations (8/19/20)
(notes) (video) Lecture 6 - Mixed Counting Problems (8/21/20)
(notes) (video) Lecture 7 - More Mixed Counting Problems (8/24/20)
(notes) (video) Lecture 8 - Partitions (8/26/20)
(notes) (video) Lecture 9 - Introduction to Probability (8/28/20)
(notes) (video) Lecture 10 - Exam 1 Review (8/31/20)
(notes) (video) Lecture 11 - Introduction to Probability (Part 2) (9/4/20)
(notes) (video) Lecture 12 - Equally Likely Events (9/7/20)
(notes) (video) Lecture 13 - Compound Events (9/9/20)
(notes) (video) Lecture 14 - Conditional Probability (9/11/20)
(notes) (video) Lecture 15 - Independent Events (9/14/20)
(notes) (video) Lecture 16 - Independent Events (Part 2) (9/16/20)
(notes) (video) Lecture 17 - Bayes' Rule (9/18/20)
(notes) (video) Lecture 18 - Bayes' Rule (Part 2) (9/21/20)
(notes) (video) Lecture 19 - Frequency Distributions (9/23/20)
(notes) (video) Lecture 20 - Measures of Central Tendency (9/25/20)
(notes) (video) Lecture 21 - Exam 2 Review (9/28/20)
(notes) (video) Lecture 22 - Measures of Dispersion/Position (10/2/20)
(notes) (video) Lecture 23 - Random Variables (10/5/20)
(notes) (video) Lecture 24 - Expected Values of Random Variables (10/7/20)
(notes) (video) Lecture 25 - Expected Values of Random Variables (Part 2) (10/9/20)
(notes) (video) Lecture 26 - Bernoulli Experiments and the Binomial Distribution (10/12/20)
(notes) (video) Lecture 27 - Normal Distribution (10/14/20)
(notes) (video) Lecture 28 - Normal Distribution (Part 2) (10/16/20)
(notes) (video) Lecture 29 - Linear Inequalities (10/19/20)
(notes) (video) Lecture 30 - Systems of Linear Inequalities (10/21/20)
(notes) (video) Lecture 31 - Linear Programming (10/23/20)