Difference between revisions of "The Mathematics of Competitive Behavior"
m |
|||
| (One intermediate revision by one other user not shown) | |||
| Line 1: | Line 1: | ||
| + | {{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 = [[JHU]] | ||
| + | | label5 = Sites Offered | data5 = [[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. | |
| − | |||
| − | + | From the CTY Catalog] (2017): | |
| + | |||
| + | IBM founder Thomas J. Watson 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 field for historians, economists, and politicians to explore. In this course, you will learn the principles of probability, statistics, and combinatorics, and how to apply them while making strategic decisions based on an opponent’s actions and reactions. You and your classmates will investigate the applications of these tools in game theory, learning how they have shaped historical events and how they are applied today in the fields of economics and politics. You will use your new knowledge to debate potential laws, model economic patterns, and reason through international policy decisions. | ||
| − | + | Note: Students who have taken CTY’s Probability and Game Theory or Game Theory and Economics should not take this course. | |
| − | [[Category: | + | [[Category: Baltimore (JHU)]] |
| + | [[Category: Courses]] | ||
Latest revision as of 09:07, 22 March 2023
| Special Course | |
|---|---|
| Course Code | MOCB |
| Year Opened | 2010 |
| Sites Offered | JHU |
| 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):
IBM founder Thomas J. Watson 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 field for historians, economists, and politicians to explore. In this course, you will learn the principles of probability, statistics, and combinatorics, and how to apply them while making strategic decisions based on an opponent’s actions and reactions. You and your classmates will investigate the applications of these tools in game theory, learning how they have shaped historical events and how they are applied today in the fields of economics and politics. You will use your new knowledge to debate potential laws, model economic patterns, and reason through international policy decisions.
Note: Students who have taken CTY’s Probability and Game Theory or Game Theory and Economics should not take this course.
