Homework will not be collected, but you are strongly encouraged to do it. Almost all of these problems are taken from past exams, or are exam-type problems. Problem numbers and pages refer to the Lecture Notes available here. Solutions are provided, but need to be carefully checked for mistakes!

	Due Date	Problem Numbers
HW1	Mon., Apr. 10	Chapter 9, Convergence in Probability, Problems (all five).
HW2	Mon., Apr. 17	Chapter 10, Moment Generating Functions, Problems (all five).
HW3	Mon., Apr. 24	Chapter 11, Computing probabilitities and expectations by conditioning (all seven).
HW4	Wed., May 3	Chapter 12, Markov Chains: Introduction (all 4).
HW5	Wed., May 10	Chapter 13, Markov Chains: Classification of States (all 3).
HW6	Wed., May 17	Chapter 14, Branching Processes (all 3).
HW7	Fri., May 26	Chapter 15, Markov Chains: Limiting Probabilities (all 5).
HW8	Fri., June 2	Chapter 16, Markov Chains: Reversibility (all 4) and Chapter 17, Three Applications, problem 1.
HW9	Fri., June 9	Chapter 18, Poisson Process (all 5).