Class/Quiz/Exam Schedule

• Class schedule is only tentative: will keep changing as semester progresses
  
• All quizzes and exams
  
• Will be comprehensive (the material forces me to do that!)
• Will be closed book but cheat sheets are allowed
  
• 2 sheets (4 sides) for midterm 1, 4 sheets for midterm 2 and final
• 2 sheets for quizzes before midterm 1, 4 sheets for all other quizzes
  
• Quizzes
• Unannounced (Random) quizzes
• very simple one question quiz anytime during the class
• goal of these quizzes is to ensure attendance and alertness in classes
• there will be random number of these quizzes on randomly selected days
  
• Announced quizzes:
  
• Roughly once every two weeks
• Tentative quiz dates are posted: may change
  

Week	Topics	Chapter Section of Bertsekas/Tsitsiklis	Quiz or Exam?
1	Introduction, Set Theory, Axioms, Probability models Conditional Probability	1.1-1.3
2	Total Probability, Bayes rule Independence	1.4-1.5
3	Independent trials (binomial) Network reliability Counting Problems + Recap	1.6	Quiz - Monday
4	Discrete random variables: PMF Functions of a single r.v. Expectation, mean, variance	2.1-2.4
5	Cumulative Distribution Function (CDF) Joint discrete random variables, joint PMF	2.5	Quiz
6	Conditional PMF Independence, Bayes rule Problems + Recap	2.6-2.8
7	Continuous random variables, PDF, CDF Midterm Exam 1	3.1-3.2	Midterm Exam 1: Feb 27. Syllabus:  Chap 1, 2.1-2.3
8	Gaussian PDF Conditioning on an event Joint PDF	3.3-3.4
9	Conditioning on a r.v.: Conditional PDF, CDF Bayes rule for continous r.v.'s Independence	3.5
10	Derived distributions Problems + Recap	3.6
11	MGF, sums of random variables Covariance, correlation, conditional expectation	parts of chapter 4
12	Least squares estimation and linear LSE Midterm Exam 2	parts of chapter 4	Midterm Exam 2: April 3 Syllabus: Chapter 1 and 2
13	Problems + recap Markov, Chebyshev inequalities Weak law of large numbers Central limit theorem	parts of chapter 7
14	Introduce Monte Carlo and Importance Sampling Introduce Markov chains	Notes will be posted parts of Chapter 6
15	Finish discussing Markov Chains Problems + Recap
Exam week	Final Exam