Syllabus

The following section refer to Finite Mathematics, Seventh Edition by Lial, Greenwell, and Ritchey.

August 29
1.1, 1.2  Linear functions.

September  1/3/5
1.3  The least square line
2.1, 2.2  Solutions of linear systems

September  8/10/12
2.2  Solutions of linear systems
2.3, 2.4  Operations on matrices
2.5  Inverse of an invertible  matrix

September  15/17/19
7.1, 7.2  Set Theory
7.3, 7.4  Basic concepts of probability

September  22/24/26
7.5  Conditional probability  (not covered in prelim 1)
Review

September 29, October 01/03     First evening prelim Tuesday  September 30, 7:30-9:00pm
7.5  Conditional probability (not covered in prelim 1)
7.5, 7.6  Bayes' theorem

October 06/08/10
8.1  Permutations
8.2  Combinations

October  15/17      Fall  break  Oct 11-14
8.3  Applications of counting principles

October 20/22/24
8.4  Binomial probability (not covered in prelim 2)
8.5  Probability distributions, Expected value  (not covered in prelim 2)

October 27/29/31     Second evening prelim  Thursday October 30,  7:30-9:00pm
Review
9.1, 9.2  Measure of central tendency and variation (not covered in prelim 2)

November 3/5/7
9.2, 9.3  Variation, Normal distribution
9.4  Normal approximation of the binomial distribution

November 10/12/14
10.1  Basic properties of Markov Chains (not covered  in prelim 3)

November 17/19/21     Third  evening prelim  Thursday November  20,  7:30-9:00pm
Review
10.2  Regular Markov chains, convergence to equilibrium. (not covered  in prelim 3)

November 24/26      Thanksgiving Break  Nov 26 (1:10pm)- 30.
10.2  Regular Markov chains, convergence to equilibrium
10.3  Absorbing Markov chains

December 1/3/5
10.3  Absorbing Markov chains
Application of Markov chains.


Section 01 Home Page * Cornell Mathematics Department
Michael Kozdron
9/28/2003