Daily Schedule

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 25 June (F) Bertsekas 1.1 Set and operations on sets
2 28 June (M) Snell 1.2 and Bertsekas 1.2 Discrete Probability Distributions
3 30 June (W) Snell 2.2 and Bertsekas 1.2 Continuous Density Function Part 1
4 6 July (Tu) (make-up) Snell 2.2 and Bertsekas 1.2 Continuous Density Function Part 2
5 7 July (W) Snell 3.1 Counting Techniques Part 1
6 9 July (F) Snell 3.2 Counting Techniques Part 2
7 12 July (M) Snell 4.1 and Bertsekas 1.3,1.5 Discrete Conditional Probability
8 14 July (W) Snell 4.1 and Bertsekas 1.4 Joint Distribution Functions, Total Probability Theorem and Baye's Rules
9 16 July (F) Snell 4.1 More examples on Discrete Conditional Probability
19 July (M) Midterm 1
10 21 July (W) Snell 4.2 Continuous Conditional Probability
11 23 July (F) Snell 5.1,5.2 Important Distributions and densities Part 1
12 26 July (M) Snell 5.1,5.2 Important Distributions and densities Part 2