The following is a tentative schedule for the course. Please check back regularly for updates as the term progresses.
Day | Lectures | Sections in Text | Brief Description |
---|---|---|---|
1 | 14 Sep (M) | 1.1 | Set and operations on sets |
2 | 16 Sep (W) | 1.2 | Probability and properties |
3 | 18 Sep (F) | 1.6- | Counting techniques |
4 | 21 Sep (M) | -1.6 | Partitions |
5 | 23 Sep (W) | 1.3 | Conditional probabilities |
6 | 25 Sep (F) | 1.4 | Total Probability Theorems and Bayes' Rules |
7 | 28 Sep (M) | 1.5 | Independence |
8 | 30 Sep (W) | 2.1-2.2- | Discrete Random Variables |
9 | 2 Oct (F) | -2.2-2.3 | Functions of Random Variables |
04 Oct - 06 Oct | Midterm 1 | ||
10 | 5 Oct (M) | 2.4 | Mean and Expectation |
11 | 7 Oct (W) | 2.4 | Variance |
12 | 9 Oct (F) | 2.5 | Joint PMFs of Multiple Random Variables |
13 | 12 Oct (M) | 2.6 | Conditional PMFs |
14 | 14 Oct (W) | 2.7- | Independence Part 1 |
15 | 16 Oct (F) | -2.7 | Independence Part 2 |
18 Oct - 20 Oct | Midterm 2 | ||
16 | 19 Oct (M) | 3.1- | Continuous R.V. |
17 | 21 Oct (W) | -3.1 | Mean and Variance for continuous R.V |
18 | 23 Oct (F) | 3.2 | Cumulative Distribution Functions |
19 | 26 Oct (M) | 3.3 | General Normal Rnadom Variables |
20 | 28 Oct (W) | 3.4 | Joint PDF |
21 | 30 Oct (F) | Midterm Review | |
30 Oct - 2 Nov | Midterm 3 | ||
22 | 2 Nov (M) | 3.5- | Conditioning |
23 | 4 Nov (W) | -3.5 | More examples on conditioning |
24 | 6 Nov (F) | 3.6 | The continuous Baye's Rule |
25 | 9 Nov (M) | 5.1 | Markov's inequality and Chebyshev's inequality |
26 | 11 Nov (W) | 5.2 | The weak law of large numbers |
27 | 13 Nov (F) | Final Review 1 | |
28 | 16 Nov (M) | Final Review 2 | |
30 Nov - 3 Dec | Final Exam |