|
| Thursday 01/03 |
Introduction: description of the course syllabus. Review of basic
concepts.
1.1 - 1.4 |
| WEEK 2 | Tuesday 01/08 | Defintion of
probability and finite sampling spaces.
1.5 - 1.6 |
| Thursday 01/10 | Counting methods
1.7-1.8 | |
| WEEK 3 | Tuesday 01/15 | Multinomial
coefficients
1.9-1.10 |
| Thursday 01/17 | Conditioanl
probability
2.1-2.2 | |
| WEEK 4 | Tuesday 01/22 | Bayes theorem
Quiz 1 (15%) 2.3 |
| Thursday 01/24 |
Discrete random variables
3.1; 5.1-5.5 | |
| WEEK 5 | Tuesday 01/29 | Continuous
random variables
3.2-3.3 |
| Thursday 01/31 | Bivariate
distributions
3.4-3.5 | |
| WEEK 6 | Tuesday 02/05 | |
| Thursday 02/07 |
Midterm (35%) |
|
| WEEK 7 | Tuesday 02/12 |
|
| Thursday 02/14 |
Conditional distributions
3.6;3.8 | |
| WEEK 8 | Tuesday 02/19 |
Multivariate distributions
3.7;3.9 |
| Thursday 02/21 |
Expectation.
4.1-4.2; 5.1-5.5 |
|
| WEEK 9 | Tuesday 02/26 | Variance
Quiz 2 (15%) 4.3; 5.1-5.5 |
| Thursday 02/28 | Covariance.
Conditional expectation.
4.6-4.7; 5.1-5.5 |
|
| WEEK 10 | Tuesday 03/05 | The normal
distribution and the Central Limit Theorem.
5.6-5.7 |
| Thursday 03/07 | Other continuous
distributions.
5.9-5.10 | |
| WEEK 11 | Tuesday 03/12 | Poisson Process.
Markov chains.
5.4;2.4 |
| Thursday 03/14 | ||
| WEEK 12 | Tuesday 03/19 |
Last update 12/11/01