Saturday, May 3, 2014

Game Theory portfolio with critical responses/above and beyond

Critical Path Method Notes Pt.1
 Critical Response: Although confusing to me at first, with the help of these notes I soon found this method easy to do. I like how you have to draw a graph to solve these problems, because I am a visual learner and drawing these diagrams helped me answer problems on other worksheets.
Critical Path Method Notes Pt.2

Binomial Distribution notes pt.1
 Critical Response: I found this method very easy to do because we did something very similar to it in AFM. Doing it again was a big help to me because it was basically a huge review of what I learned last year, and helped me complete the other worksheets in the portfolio.
Binomial Distribution notes Pt.2

Binomial Distribution notes pt.3

Binomial Distribution notes pt.4

Game Theory Notes Pt.1

Game Theory Notes pt.2

 Markov Chains Notes pt.1
 Critical Response: I liked these notes because the subject matter was interesting-we actually applied a mathematical method to a potential real life situation. I also found these notes easier to understand because it combined something we learned earlier in the year (matrices) and added another layer to them that could help me in my other math classes in the future.
Markov Chains Notes pt.2
Markov Chains Notes pt.3

Critical Paths Method Practice pt.1

Critical Paths Method Practice pt.2

Binomial Distribution Practice

Game Theory, pt.1

Game Theory, pt.1- back

Common Game Theory Problems pt.1

Common Game Theory Problems pt.2

Basic Markov Chains pt.1

Basic Markov Chains pt.2

Basic Markov Chains pt.3

Game Theory and Markov practice pt.1

Game Theory and Markov practice pt.2

Game theory and Markov practice pt.3

Difference btw circuits and paths warm up

Lorax Leslie Matrix Warmup

Rock Paper Scissors game theory warmup
 Above and Beyond: Using what we learned about Markov Chains, I think that you could apply this method to help predict animal populations in farms. Specifically, fish that can change their gender depending on their environment. You could create a matrix using data about these fish (probability that a male fish stays a male, male turns into a female, etc.) and try to predict what would happen to these fish by using the Markov chain method. These matrices would be very useful to farmers because they could see how their crop would change over a period of time and could increase or decrease their current population depending on these numbers.