1  3
1. A first course in probability [2019]
 Ross, Sheldon M., author.
 Tenth edition.  Boston : Pearson, 2018.
 Description
 Book — xii, 505 pages : illiustrations ; 26 cm
 Summary

 Combinatorial analysis
 Axioms of probability
 Conditional probability and independence
 Random variables
 Continuous random variables
 Jointly distributed random variables
 Properties of expectation
 Limit theorems
 Additional topics in probability
 Simulation
 Common discrete distributions
 Common continuous distributions.
(source: Nielsen Book Data)
 Online
Engineering Library (Terman), Science Library (Li and Ma)
Engineering Library (Terman)  Status 

On reserve: Ask at Engineering circulation desk  
QA273 .R83 2018  Unknown 2hour loan 
Science Library (Li and Ma)  Status 

On reserve: Ask at Science circulation desk  
QA273 .R83 2018  Unknown 2hour loan 
QA273 .R83 2018  Unknown 2hour loan 
QA273 .R83 2018  Unknown 2hour loan 
CS10901, MS&E22001, STATS11601
 Course
 CS10901  Introduction to Probability for Computer Scientists
 Instructor(s)
 Chris Piech
 Course
 MS&E22001  Probabilistic Analysis
 Instructor(s)
 Ross Shachter
 Course
 STATS11601  Theory of Probability
 Instructor(s)
 Gene Kim
2. A first course in probability [2014]
 Ross, Sheldon M.
 Ninth edition.  Upper Saddle River, New Jersey : Pearson Education, Inc., [2014]
 Description
 Book — xi, 467 pages ; 26 cm.
 Online
Engineering Library (Terman)
Engineering Library (Terman)  Status 

On reserve: Ask at Engineering circulation desk  
QA273 .R83 2014  Unknown 2hour loan 
QA273 .R83 2014  Unknown 2hour loan 
QA273 .R83 2014  Unknown 2hour loan 
QA273 .R83 2014  Unknown 2hour loan 
QA273 .R83 2014  Unknown 2hour loan 
CS10901, MS&E22001
 Course
 CS10901  Introduction to Probability for Computer Scientists
 Instructor(s)
 Chris Piech
 Course
 MS&E22001  Probabilistic Analysis
 Instructor(s)
 Ross Shachter
3. A first course in probability [2010]
 Ross, Sheldon M.
 8th ed.  Upper Saddle River, N.J. : Pearson Prentice Hall, c2010.
 Description
 Book — xiii, 530 p. : ill. ; 26 cm.
 Summary

 1. Combinatorial Analysis
 2. Axioms of Probability
 3. Conditional Probability and Independence
 4. Random Variables
 5. Continuous Random Variables
 6. Jointly Distributed Random Variables
 7. Properties of Expectation
 8. Limit Theorems
 9. Additional Topics in Probability
 10. Simulation Appendix A. Answers to Selected Problems Appendix B. Solutions to SelfTest Problems and Exercises Index.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
 Online
Engineering Library (Terman)
Engineering Library (Terman)  Status 

On reserve: Ask at Engineering circulation desk  
QA273 .R83 2010  Unknown 2hour loan 
QA273 .R83 2010  Unknown 2hour loan 
Stacks  
QA273 .R83 2010  CHECKEDOUT 
MS&E22001
 Course
 MS&E22001  Probabilistic Analysis
 Instructor(s)
 Ross Shachter