 Tuesday  Wednesday  Thursday  Friday

Week 2
 1416 F140 Lecture 0: Orientation and Introduction
 1416 F140 Lecture 1: Conditioning Tricks for Means
 1214 F454 Exercise 0: Guidance for 1.1, 1.2, 1.3, 1.4

Week 3
 1416 F140 Lecture 2: Conditioning Tricks for Variances
 1416 F140 Lecture 3: Conditioning Tricks for Distributions
 1214 F454 Exercise 1: 1.1, 1.2, 1.3, 1.4

Week 4
 1416 F140 Lecture 4: Analytical Tools
 1416 F140 Lecture 5: Binomial Distribution

 1012 F454 Exercise 2: 2.1, 2.2, 3.1, 3.2

Week 5
 1416 F140 Lecture 6: Poisson Distribution
 1416 F140 Lecture 7: Exponential Distribution

 1012 F454 Exercise 3: 4.1, 4.3, 4.4, 4.6

Week 6
 1416 F140 Lecture 8: Gaussian Distribution
 1416 F140 Lecture 9: Markov Chains as Matrices

 1012 F454 Exercise 4: 5.1, 6.1, 6.4, 7.1

Week 7
 1416 F453 Lecture 9 bis: Markov Chains as Matrices
 1416 F453 Lecture 10: Classification of Markovian States

 1012 F454 Exercise 5: 8.1, 8.2, 9.1, 9.2

Week 8
 1416 F140 Lecture 11: Markovian Long Run and Ergodicity
 1416 F425 Lecture 12: Poisson Process

 1012 F454 Exercise 6: 9.3, 10.1, 10.2, 10.5

Week 9
 1416 F345 Lecture 13: Queuing: Palm, PASTA, and Little
 1416 F425 Lecture 14: Markovian Queues
 0810 F454 Exercise 7: 11.1, 11.3, 12.1, 12.3


Week 10
 1012 F425 Lecture 15: Measure Theory
 0810 F140 Lecture 16: More Measure Theory
 0810 F454 Exercise 8: 13.2, 13.4, 14.1, 14.5


Week 11
 1618 F345 Lecture 17: Mock Exam: A.3, A.15, A.29, A.49

 0810 F425 Lecture 18: NO LECTURE




 1012 F454 Exercise A: A.1, A.11, A.27, A.45

