477:01  Mathematical Theory of Probability –Fall 2011

TF2, MU114 CAC. Lecturer: Simon Gindikin, gindikin@math.rutgers.edu, Hill-524. Office Hours: Fri.12-13

Text: Sheldon Ross, A FIRST COURSE IN PROBABILITY, 8th edition, ISBN#978-0-13-603313-4, Prentice-Hall.

Grader: Yi Hao  <annxbd@yahoo.com.cn> 

 

Lecture          Sections        Topics

 

1                     1.1-1.6            Combinatorics

                                                                   

2                        2.1-2.3            Axioms of Probability       

                                        

  3              2.4                  Inclusion/Exclusion

                                        

  4,5           2.5                 Equally Likely Outcomes

                                                             

 

 6                  3.1-3.3          Conditional Probability

                                                    

  7,8            3.4                       Independent Events

                                                                                                           

  9               4.1-4.2                 Random Variables

                                                     

 10             4.3-4.5                  Expectation and Variance

                                                     

11            4.6  ,4.8.1-2           Special Discrete RV (Bernoulli,Binomial)

                                                     

12

              Exam 1, Tuesday, October 11       

 

13,14     4.7                      Poissson RV

                                                        

15         5.1-5.3                      Continuous RV

                                                     

16           5.3-5.5                      Special Continuous RV

                                                     

17,18          5.4                      Normal RV and Normal Approximation

                                                                                              

19        6.1                                 Joint Distribution of Several RV

                                                     

20       6.2-6.3                         Independent RV

                                                     

21        6.4-6.5                         Conditional Distributions

                                                     

22      7.1-7.2                          Expectation of a Sum

                                                                                                           

23      7.4                                  Covariance, Correlation

 

24            Exam 2, Tuesday, November 29   

                                                                                                              

25,26   8.1-8.2                    Markov amd Chebyshev Inequalities

                                                     

27  8.3                                       Central Limit Theorem

                                                     

28                Catch up and review

Final, Friday, December 23, 8-11

 

Final grade: Midterms-20% each; quizzes-20%; homeworks -10%,

final-30%.

 

 

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