Lecture 1 Preference
Ballots:plurality, Borda count
Lecture 2 Plurality
with Elimination, Pairwise Comparison
Lecture 3 Ranking
Lecture 4 Weighted
Voting Systems
Lecture 5 Banzhaf
Power Index
Lecture 6 Shapley
Shubik Power Index
Lecture 8 Chapter
1 & 2 Review
Lecture 9 Fair
Division: Divider Choose and Lone Divider
Lecture 10 Lone Chooser,
Last Diminisher
Lecture 11 Sealed Bids
Lecture 12 Method of Markers
Lecture 13 Apportionment: HamiltonÕs
Method
Lecture 14 JeffersonÕs,
AdamÕs Methods
Lecture 15 WebsterÕs Method
Lecture 16 Review of Chapter
3 & 4
Lecture 17 Introduction
Graph Theory
Lecture 18 Euler paths and
circuits
Lecture 19 Eulerization
Lecture 20 Hamilton Circuits
Lecture 21 Traveling
Salesman Problem: Brute Force Method Nearest Neighbor Algorithm
Lecture 22 Repetitive
Nearest Neighbor Algorithm and Cheapest Link Algorithm
Lecture 23 Graph Coloring
Lecture 24 Review of Chapter
5 & 6
Lecture 25 Spanning Trees;
KruskalÕs Algorithm
Lecture 26 Steiner Points
Lecture 27 Steiner Points
Lecture 28 Scheduling,
Decreasing Time Algorithm
Lecture 29 Critical Path
Algorithm
Lecture 30 Independent
Tasks, Bin Packing
Lecture 31 Review of Chapter
7 & 8
Lecture 32 Review of Chapter
7 & 8
Lecture 33 Fibonacci Numbers
Lecture 34 Gnomons
Lecture 35 Linear Growth
Lecture 36 Exponential
Growth and Compound Interest
Lecture 37 Exponential
Growth and Compound Interest
Lecture 38 Fractals
Lecture 39 Final Review