Textbook: Dimitri P. Bertsekas and John N. Tsitsiklis Introduction to Probability, 2nd edition
## Actual schedule (Fall 2018):

- September 28
- Sets and manipulating sets (Section 1.1)
- October 1
- Probability spaces (Section 1.2)
- October 3
- Conditional probability (Section 1.3)
- October 5
- Conditional probability: Total Probability and Bayes theorem (Section 1.4)
- October 8
- Total probability, Multiplication rule, starting Independence (from Sections 1.3-1.5)
- October 10
- Multiplication rule, Independence (book problem 25, Section 1.5)
- October 12
- Independence (Section 1.5)
- October 15
- Binomial coefficient and counting (Section 1.6)
- October 17
- Random variables, probability mass functions (Sections 2.1, 2.2)
- October 19
- MIDTERM 1
- October 22
- Probability mass function (Sections 2.2, 2.3)
- October 24
- Mean and Variance (Section 2.4)
- October 26
- Joint and marginal PMF of several random variables (Section 2.4)
- October 29
- Mean, variance, covariance, correlation coefficient of many RV (Sections 2.5, 4.2)
- October 31
- Conditional PMF (Section 2.6)
- November 2
- Independence (Section 2.7)
- November 5
- More on independence and conditional expectation (Sections 2.5-2.7)
- November 7
- Continuous random variables and PDF (Section 3.1)
- November 9
- Continuous random variables and PDF (Section 3.1, 3.3)
- November 14
- Review
- November 16
- MIDTERM 2
- November 19
- CDF of random variables (Section 3.2)
- November 21
- Normal random variables (Section 3.3)
- November 26
- Joint PDF (Section 3.4)
- November 27
- Conditioning in CTS case (Section 3.5)
- November 29
- Independence and CTS Bayes rule (Sections 3.5-3.6)
- December 3
- Law of Large numbers (Sections 5.1,5.2)
- December 5
- Central limit theorem (Section 5.3)
- December 7
- Review
- December 10
- FINAL EXAM