TEXT: "FINITE MATHEMATICS and its APPLICATIONS".
                  by Goldstein, Schneider and Siegel

             SYLLABUS:

             Chapter 5: SETS and COUNTING

                  Operations on sets
                        The students have to understand that a "statement" has a
                        well defined truth value.  While sections 12.1 and 12.2
                        are not part of the syllabus (they are not in
                        the Hunter edition), the notions of "a
                        statement", "and" and "and/or" from chapter 12 should be
                        introduced when "sets", "intersection" and "union" are
                        introduced.  DeMorgan's law, below, should be stated both
                        in logical and set theoretical terms.
                  The Inclusion-Exclusion Principle.
                  Venn diagrams (2 and 3 circle diagrams).
                  De Morgan's law
                  Multiplication Principle
                  Permutations and Combinations
                   5.7, 5.8 are optional
                                                            Exam I
             Chapters 6: PROBABILITY
                  Experiments, and Events.
                  Calculating Probabilities of Events.
                  Skip "ODDS".
                  Conditional Probability and Independence.
                  Tree Diagrams
                  Bayes' Theorem (The students are do not have to know the
                  formulas for Bayes' theorem).
                                                            Exam II

             Choose from the following. (Note: Chapter 2 is prerequisite for
             Chapter 8).

             Chapter 7: PROBABILITY AND STATISTICS
                  Frequency Distributions
                  Histograms
                  Mean, Expected values
                  Bernoulli Trials
                  Skip 7.6, 7.7

              Chapter 2 (2.3, 2.4): MATRICES
                  Arithmetic Operations on Matrices
                  The Inverse of a Matrix (limited to 2 x 2)

             Chapter 8: MARKOV PROCESSES
                  The transition matrix
                  Regular Stochastic Matrices (limited to 2 x 2)


             Chapter 13 GRAPHS
                                                                 Exam III