The following is a tentative syllabus for the course. This page will be updated as changes occur.
Date | Section(s) | Topic(s) |
---|---|---|
9/24 | 1.2 | Basic Probability |
9/26 | 1.2 | Basic Probability cont'd |
9/29 | 3.1 | Combinatorics: Permutations |
10/1 | 3.1; 3.2 | Permutations and Combinations |
10/3 | 3.2 | Combinations cont'd |
10/6 | 3.2 | Combinations cont'd |
10/8 | 4.1 | Conditional Probability |
10/10 | 4.1 | Conditional Probability cont'd |
10/13 | 4.1; 6.1 | Expected Value |
10/15 | 6.1 | Expected Value cont'd |
10/17 | 6.2 | Variance |
10/20 | 6.2 | Variance cont'd |
10/22 |   | Midterm Exam 1 |
10/24 | 5.1 | Important Distributions |
10/27 | 5.1 | Important Distributions cont'd |
10/29 | 5.1 | Important Distributions cont'd |
10/30 | 8.1 | Law of Large Numbers |
10/31 |   | No class |
11/3 | 9.1 | Central Limit Theorem |
11/5 | 9.1 | CLT cont'd |
11/7 | 9.1; 9.2 | CLT and Statistics, General CLT |
11/10 | 9.2 | General CLT cont'd |
11/12 |   | Midterm Exam 2 |
11/14 | 11.1 | Introduction to Markov Chains |
11/17 | 11.2 | Absorbing Markov Chains |
11/19 | 11.2 | Absorbing Markov Chains cont'd |
11/21 |   | No class |
11/24 | 11.3 | Regular Markov Chains |
11/26 |   | No class (Thanksgiving break) |
11/28 |   | No class (Thanksgiving break) |
12/1 | 11.3 | Ergodic Markov Chains |
12/3 |   | Review |