Math 210 schedule

Tuesday Thursday
Jan. 14

No class
Jan. 16

In Lecture:
  • Overview of the course
  • Two person games and the media: Why is BS on the rise?
  • Strategies in two person games

Associated Reading:
  • On Bullshit (entire book)
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.

Homework:
A nice example of B.S.
Jan. 21

In Lecture:
  • B.S. versus lying, examples from the news.
  • Two person zero sum games, continued. Examples involving credibility and the lying benefit.

Associated Reading:
  • On Bullshit (entire book)
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.

Homework:
Jan. 23

In Lecture:
  • Multi-option, two person zero sum games
  • Dominant strategies, maximins, minimaxes and saddlepoints
  • Proof that maximin <= minimax
  • Proof that for a two person two option zero sum game, a dominant strategy exists if and only if there is a saddlepoint. This is not true of larger games.
  • For arbitrary zero sum games, if there is a dominant strategy there is a saddlepoint.
  • Why speaking bullshit and expecting bullshit form a saddlepoint in the absence of credibility.

Associated Reading:
  • On Bullshit (entire book)
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.
  • Pages 736-739 of Raghavan's article on zero sum two person games

Homework:
Jan. 28

In Lecture:
  • Proof of the recipe for finding optimal strategies in a two-person two-option zero sum game

Associated Reading:
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.
  • Pages 736-739 of Raghavan's article on zero sum two person games

Homework:
Jan. 30

In Lecture:
  • The inverse problem for two-person, two-option zero sum games.

Associated Reading:
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.
  • Pages 736-739 of Raghavan's article on zero sum two person games

Homework:
Feb. 4

In Lecture:
  • The inverse problem for two-person, two option zero sum games, continued.

Associated Reading:
  • FAPP = For all Practical Purposes, Chapter 15.1
  • How math can save your life, chapter 2.
  • Pages 736-739 of Raghavan's article on zero sum two person games

Homework:
Feb. 6

In Lecture:
  • Three by three games
  • The three planes arising from the rock paper scissors game. The lower left corner is at the point (p_1,p_2,z) = (0,0,-1). The three planes are the graphs of the functions giving the expected payoff as a function of (p_1,p_2,1-p_1-p_2) played by player 1 against the three pure strategies of player 2.
  • Linear programming problems
    Associated Reading:
    • FAPP = For all Practical Purposes, Chapter 15.1
    • How math can save your life, chapter 2.
    • Pages 736-739 of Raghavan's article on zero sum two person games

    Homework:
  • Feb. 11

    In Lecture:
    • Steps in writing mathematical arguments
    • In class discussion of homework 2
    • Linear programming problems

    Associated Reading:
    • FAPP, Chapter 15.2
    • How math can save your life, chapter 2
    • Pages 736-739 of Raghavan's article on zero sum two person games
    • These notes on linear programming problems and finding optimal strategies.
    • The part of this Wikipedia article on linear programming up to the section titled "Augmented form (slack form)".

    Homework:
    Feb. 13

    In Lecture
    • Linear programming problems: Real world examples.
    • Converting game theory problems to linear programming problems
    • Solving linear programming problems with vertices

      Associated Reading:

      Homework:
    Feb. 18

    In Lecture
    • A two by three game coming from political advertising

      Associated Reading:
      • These notes on using linear programming to study advertising.
      • Pages 736-739 of Raghavan's article on zero sum two person games


      Homework:
    Feb. 20

    In Lecture
    • A two by three game coming from political advertising, continued
    • Beginnnig of the proof that optimal strategies can be determined by linear programming


    Associated Reading:
    • These notes on using linear programming to study advertising.
    • These notes on linear programming problems and finding optimal strategies.
    • Pages 736-739 of Raghavan's article on zero sum two person games


    Homework:
    Feb. 25

    In Lecture
    • Proof that optimal strategies can be determined by linear programming, continued

      Associated Reading:
      • These notes on linear programming problems and finding optimal strategies.
      • Pages 736-739 of Raghavan's article on zero sum two person games


      Homework:
    Feb. 27

    In Lecture
    • End of the proof that optimal strategies can be determined by linear programming
    • Beginning of the proof that linear programming problems have solutions
    • Open and closed subsets of R^n


    Associated Reading:
    • These notes on linear programming problems and finding optimal strategies.
    • Pages 736-739 of Raghavan's article on zero sum two person games


    Homework:
    March 3

    In Lecture
    • Mid-term exam. The results of the exam will be returned by e-mail.

      Homework:
    March 5

    In Lecture
    • Games which are not zero sum
    • The prisoner's dillemma and the game of chicken.


    Associated Reading:
    • FAPP, Chapters 15.3 and 15.4

    March 10

    No class: Spring Break.
    March 12

    No class: Spring Break.
    March 17

    No class: Spring Break.
    March 19

    No class: Spring Break.
    March 24

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.

    Topics:
    • Beginning of Probability theory
    • Calculation of probabilities for finite sample spaces by counting and combinatorics
    • Permuations and Combinations
    • The multinomial theorem

    Associated Reading:
    • de Groot, "Probability and Statistics," 4th edition, sections 1.4 through 1.9.
    • For all practical purposes, Chapters 8.1, 8.2
    • How math can save your life, p. 47 - 50

    Homework:
    March 26

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.

    Topics:
    • Conditional probability
    • Bayes theorem

    Associated Reading:
    • de Groot, "Probability and Statistics," 4th edition, sections 1.8, 2.1, 2.2, 2.3
    • FAPP, Chapters 8.1, 8.2
    • How math can save your life, p. 47 - 50

    Homework:
    March 31

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.


    Associated Reading:
    • de Groot, "Probability and Statistics," 4th edition, sections 3.1, 3.2, 3.3, 4.1, 4.2
    • FAPP, Chapters 8.1 - 8.5.
    • How math can save your life, p. 47 - 50

    Homework:
    April 2

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.


    Associated Reading:
    • de Groot, "Probability and Statistics," 4th edition, sections 5.1, 5.2, 5.4, 5.6, 6.1 - 6.3
    • FAPP, Chapters 8.1 - 8.5.

    Homework:
    April 7

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.


    Associated Reading:
    Homework:
    April 9

    Note that you can speed up the videos by clicking on the ``Speed" button on the bottom right of the panopto page.


    Associated Reading:
    • de Groot, "Probability and Statistics," p. 236-238, 312.

    Homework:
    April 14
    • Please read over these Notes on epidemic models. After setting up a more general model, the notes discuss a special case which is treated in this paper on epidemic models.


    Associated Reading:
    Homework:
    April 16



    Associated Reading:
    Homework:
    April 21



    Associated Reading:
    Homework:
    April 23



    Associated Reading:
    Homework:
  • Optional Extra Credit associated with homework assignment 6 (return by May 7).
  • April 28



    Associated Reading:
    Homework:
  • Optional Extra Credit associated with homework assignment 6 (return by May 7).
  • Homework assignment 7 (due May 7).
  • April 30
    No Class

    Last updated: 4/128/20
    Send e-mail comments to: ted@math.upenn.edu