Math 111 - Tentative Schedule

  Lecture     Date     Section     Notes     Homework  
1 8/26   Overview of course  
2 8/28 1.1-1.2   Preference Ballots and Plurality Method     Cht. 1# 4, 6, 12, 14  
3 8/31 1.3   Borda Count     Cht. 1# 20, 22, 23, 25  
4 9/2 1.4   Instant Run-Off Methods   Cht. 1# 32, 33, 34  
5 9/4 1.5   The Method of Pairwise Comparisons   Cht. 1# 38, 40, 51, 52, 53  
6 9/7 1.6   Rankings     Cht. 1# 41, 47, 48, 50  
7 9/9 2.1 - 2.2   Weighted Voting and Banzhaf Power     Cht. 2# 4, 8, 10
8 9/11 2.3   Applications of Banzhaf Power Index     Cht. 2# 11, 14, 20, 24  
9 9/14 2.4   Shapley-Shubik Power Index   Cht. 2# 26, 31, 34, 42
10 9/16 2.5   Applications of Shapley-Shubik     Cht. 2# 38, 42, 43
11 9/18 3.1-3.2   Fair Division and the Divider-Chooser Method     Cht. 3# 1, 8, 16, 21, 30  
12 9/21 3.3   The Lone-Divider Method     Cht 3# 26
13 9/23 3.4   The Lone-Chooser Method   Cht 3# 34, 42
14 9/25 3.5   The Last Diminisher Method   Cht 3# 46, 48, 50
15 9/28 3.6   The Method of Sealed Bids   Cht 3# 54, 57, 59
16 9/30 3.7   The Method of Markers     Cht 3# 66, 67, 70
17 10/2   Review  
18 10/5 Midterm 1    
19 10/7 4.1   Apportionment Problems  
20 10/9 4.2   Hamilton's Method & the Quota Rule     Cht. 4# 1, 4, 6, 7, 8
21 10/14 4.3   The Alabama and Other Paradoxes     Cht. 4# 14, 19
22 10/16 4.4   Jefferson's Method   Cht. 4# 23, 26, 32
23 10/19 4.5-4.6   Adam's and Webster's Methods   Cht. 4# 33, 42, 43
24 10/21   Huntington-Hill Method  
25 10/23 9.1   Fibonacci Numbers   Cht. 9# 7, 8, 15, 16
26 10/26 9.2   The Golden Ratio     Cht. 9# 13, 14, 27
27 10/28 9.2   The Golden Ratio - con'd   Cht. 9# 25, 31, 32
28 10/30 15.1   Random Experiments & Sample Spaces    
29 11/2 15.2   Counting Sample Spaces   Cht. 15# 1, 3, 4, 9, 12
30 11/4 15.3   Permutations & Combinations   Cht. 15# 20, 21, 25, 33, 34, 36  
31 11/6 15.4-15.5   Probability Spaces & Equiprobable Spaces     Cht. 15# 37, 40, 49, 56, 60
32 11/9 15.4-15.5   Probability Spaces - con'd   Cht. 15# 55, 57
33 11/11 14.3   Numerical Summaries of Data   Cht. 14# 29, 32, 37, 45
34 11/13 16.1-16.2   Normal Curves and Normal Distributions  
35 11/16 16.3   Standardizing Normal Data   Cht. 16# 3, 6, 9, 12, 13, 16, 27
36 11/18 16.4   68-95-99.7 Rule     Cht. 16# 29, 33, 38, 45, 50
37 11/20 16.5   Normal Curves as Models of Real-Life Data
38 11/23 Midterm 2
39 11/30 16.6 - 16.7   Distribution of Random Events   Cht. 16# 57, 59, 64, 66
40 12/2 13.1-13.4   Populations and Samples   Cht. 13# 13, 14, 15, 16
41 12/4 13.5-13.6   Clinical Studies
42 12/7   Review