| Date | Topic | Reading | Remarks |
| 1/5 | Introduction | ||
| 1/7 | Some set theory | Section 2.1, Appendix A.1-3 |
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| 1/9 | Probability functions | ||
| 1/12 | Combinatorics | Appendix A.4 |
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| 1/14 | Binomial theorem | ||
| 1/16 | Problem session | Homework 1 due | |
| 1/19 | HOLIDAY | ||
| 1/21 | Classical probability | Section 2.2 | |
| 1/23 | Problem session | Homework 2 due | |
| 1/26 | Subjective and conditional probability | ||
| 1/28 | Problem session |
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| 1/30 | Probability trees | Homework 3 due | |
| 2/2 | Total probability | Section 2.3 | |
| 2/4 | Bayes' theorem | ||
| 2/6 | Problem session | Homework 4 due | |
| 2/9 | Independence | Section 2.4 | |
| 2/11 | CLASS CANCELLED | ||
| 2/13 | Problem session | Homework 5 due | |
| 2/16 | HOLIDAY | ||
| 2/18 | Review | |
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| 2/20 | Midterm | ||
| 2/23 | Random variables | Sections 3.1&1.2 | |
| 2/25 | The cdf | Sections 3.2-3 | Homework 6 due |
| 2/27 | Problem session | |
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| 3/2 | Cdf, pmf and pdf |
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| 3/4 | CLASS CANCELLED |
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| 3/6 | Problem session |
Homework 7 due |
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| 3/9 |
Bernoulli process |
Section 1.4 | |
| 3/11 | Review | ||
| 3/13 | Problem session |
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| 3/16 | Final exam | 8:30-10:20 |
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