General Information | Syllabus | HW Assignments |
Lectures | Sections in Text | Brief Description |
---|---|---|
9/22 | 1.2 | Basic Probability |
9/27 | 1.2;3.1 | Basic Probability; Combinatoric: Permutations |
9/29 | 3.2 | Combinations |
10/4 | 3.2;4.1 | Combinations; Conditional Probability |
10/6 | 4.1 | Conditional Probability |
10/11 | 6.1 | Expected Value |
10/13 | 6.2 | Variance |
10/18 | Midterm Exam 1 | |
10/20 | 5.1 | Important Distributions |
10/25 | 5.1 | Important Distributions cont'd |
10/27 | 8.1 | Law of Large Numbers |
11/1 | 9.1 | Central Limit Theorem: Bernoulli Trials |
11/3 | 9.2 | CLT: Independent Trials |
11/8 | 9.2 | CLT: Independent Trials cont'd |
11/10 | Midterm Exam 2 | |
11/15 | 11.1;11.2 | Introduction to Markov Chains |
11/17 | 11.2 | Absorbing Markov Chains |
11/22 | 11.3 | Regular Markov Chains |
11/24 | No class(Thanksgiving break) | |
11/29 | 11.3 | Ergodic Markov Chains |
12/1 | Review | |
12/5 | Final Exam |
Marius Ionescu
Last updated May 31, 2008 12:24:09 EDT