Difference between revisions of "The Mathematics of Competitive Behavior"
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+ | {{Infobox | ||
+ | | title = The Mathematics of Competitive Behavior | ||
+ | | header1 = Special Course | ||
+ | | label2 = Course Code | data2 = [[The Mathematics of Competitive Behavior|MOCB]] | ||
+ | | label3 = Year Opened | data3 = 2010 | ||
+ | | label4 = Sites Offered | data4 = [[PRN]] | ||
+ | }} | ||
{{Template:CTY Courses}} | {{Template:CTY Courses}} | ||
+ | ==Course Description== | ||
− | + | This course was 80% game theory and 20% random problems that we could use math to solve. With two classes in 2015, MOCB A and B, it was a popular course. The latter class was also all boys, leading to the rise of the legendary #sausagefest and Arty Party. There were presentations that had to be made, usually lasting around 45 minutes for each group. There was also the customary pre and post tests, as well as a midterm for students to take. On the whole, the class is a fantastic one, and it comes highly recommended from all that take it. | |
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[http://cty.jhu.edu/summer/grades7-12/princeton/catalog/courses.html#mocb From the CTY Catalog] (2017): | [http://cty.jhu.edu/summer/grades7-12/princeton/catalog/courses.html#mocb From the CTY Catalog] (2017): | ||
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[[Category:Princeton]] | [[Category:Princeton]] | ||
+ | [[Category: Courses]] |
Revision as of 11:25, 6 April 2018
Special Course | |
---|---|
Course Code | MOCB |
Year Opened | 2010 |
Sites Offered | PRN |
Course Description
This course was 80% game theory and 20% random problems that we could use math to solve. With two classes in 2015, MOCB A and B, it was a popular course. The latter class was also all boys, leading to the rise of the legendary #sausagefest and Arty Party. There were presentations that had to be made, usually lasting around 45 minutes for each group. There was also the customary pre and post tests, as well as a midterm for students to take. On the whole, the class is a fantastic one, and it comes highly recommended from all that take it.
From the CTY Catalog (2017):
Thomas J. Watson, the founder of IBM, once said, “Business is a game—the greatest game in the world if you know how to play it.” In today’s global economy and the international political arena, the study of games and strategy continues to be a vital part of the education of historians, economists, and politicians. In this course, students learn how to use principles of probability, statistics, and combinatorics to make strategic decisions based on another party’s actions and reactions. With these tools, students investigate the applications of game theory, learning not only how different strategies helped to define historical events, but also how they are applied today in the fields of economics and politics.