
CSE Home  About Us  Search  Contact Info 
Schedule details will evolve as we go; check back periodically to see the latest updates.
Due  Lecture Topic  Reading  

Week 1 1/21/6 
W  Introduction  Berteskas Ch 1  
F  Counting: combinations, permutations, etc.  
Week 2 1/91/13 
M  Probability: Axioms, Conditional Probability, Bayes, Independence, etc.  
W  HW #1  
F (notes)  
Week 3 1/161/20 
M  Holiday  
W  HW #2  Probability: Axioms, Conditional Probability, Bayes, Independence, etc.  
F (notes)  
Week 4 1/231/27 
M (notes)  
W (notes)  HW #3  Discrete Random Variables, PMFs, Expectation, Variance, Joint Distributions  Bertsekas Ch 2  
F (notes)  
Week 5 1/302/3 
M (notes)  
W (notes)  HW #4  
F (notes)  
Week 6 2/62/10 
M  Snow Day  
W (notes)  Midterm Review  
F  
Week 7 2/132/17 
M (notes)  Discrete Random Variables, PMFs, Expectation, Variance, Joint Distributions  
W (notes)  HW #5  
F  Midterm  
Week 8 2/202/24 
M  Holiday  
W (notes)  HW #6  Continuous Random Variables, CDFs, PDFs, Normal Distribution  Bertsekas Ch 3  
F (notes)  
Week 9 2/273/3 
M (notes)  Max Likelihood Estimators, EM  Bertsekas, 9.1. Supplementary reading below.  
W (notes)  HW #7  
F (notes)  Tails and Limit Theorems  Bertsekas Sect 4.4 & Ch. 5  
Week 10 3/63/10 
M (notes)  
W (notes)  HW #8  
F  Wrap up & Review  
Week 11 3/133/17 
M  Final Exam 
Textbooks:
Required:
Introduction to Probability (2nd edition), Dimitri P. Bertsekas and John N. Tsitsiklis, Athena Scientific, 2008(Available from U Book Store, Amazon, etc.)
Reference. (No direct use of this, but if you already own a copy, keep it for reference. Some students have said they like its coverage of counting (Chapter 5 and 7.5, 7.6) and discrete probability (Chapter 6). Editions other than the sixth are probably equally useful.):
Discrete Mathematics and Its Applications, (sixth edition) by Kenneth Rosen, McGrawHill, 2006. Errata. (Available from U Book Store, Amazon, etc.)
Supplementary Reading:
In addition to the assigned text, there are many supplementary resources available on the web and elsewhere that may be helpful. Here are a few. I welcome hearing about others that you discover.
The open access textbook for the Chance project. Roughly comparable in coverage to Ross or Bertsekas, but with a different slant, of course.
Computer Science & Engineering University of Washington Box 352350 Seattle, WA 981952350 (206) 5431695 voice, (206) 5432969 FAX 