Schedule

CS 280 - Spring 2002

This schedule will be updated periodically throughout the term.  Last update: April 30.

Readings and, in some cases, web-links are given for each of the topics listed below.  Readings are from the course text unless otherwise noted.

Text: Rosen, Discrete Mathematics and Its Applications, McGraw-Hill, 1999.

Mondays   Wednesdays   Fridays
Date Topics Reading   Date Topics Reading   Date Topics Reading
Jan 21 General Course Info
Intro to Induction
3.2-3   Jan 23 Induction 3.2-3   Jan 25 Induction 3.2-3
Jan 28 Logic: propositions 1.1-3   Jan 30 Logic: quantifiers 1.1-3   Feb 1 Logic: proofs 3.1
Feb 4 Logic: proofs 3.1   Feb 6 Complexity of Algorithms 1.8, 2.2   Feb 8 Number Theory,
Divisibility
2.3
Feb 11 Number Theory,
Euclid's Algorithm
2.4   Feb 13 Multiplication,
Euclid's Algorithm
2.4   Feb 15 Number Theory,
Chinese Remainder Theorem
2.5
Feb 18 RSA Cryptography 2.5   Feb 20 Review Questions     Feb 22 Prelim I  
Feb 25 Sets & Functions 1.4-6   Feb 27 Basic Counting 4.1   Mar 1 Pigeonhole Principle 4.2
examples
Mar 4 Permutations & Combinations 4.3   Mar 5 Probability 4.4-5   Mar 7 Probability 4.4-5
Mar 11 Probability 4.4-5   Mar 12 More Permutations & Combinations 4.6-7   Mar 14 Inclusion-Exclusion 5.5
Mar 18 Break     Mar 20 Break     Mar 22 Break  
Mar 25 Why Probability?;
Market Basket Data
see below   Mar 27 Market Basket Data see below   Mar 29 Market Basket Data see below
Apr 1 Relations 6.1-6   Apr 3 Review     Apr 5 Prelim II  
Apr 8 Relations 6.1-6   Apr 10 Relations 6.1-6   Apr 12 Graphs 7.1-4
Apr 15 Graphs 7.1-4   Apr 17 Graphs 7.1-4   Apr 19 Planar Graphs 7.7
Apr 22 Graph Properties of the Web see below   Apr 24 Graph Coloring 7.8   Apr 26 Trees 8.1,3,5
Apr 29 Trees 8.1,3,5   May 1 What I Do
Course Evaluation
    May 3 Course Review  

The Final Exam takes place on Tuesday, May 14 at noon.

Market Basket Data is a pdf file that contains the slides used in the lecture on Friday, Mar 29.  The following two papers are the source for the lecture material on Market Basket Data:

The following paper is the source for the lecture material on the Graph Properties of the Web