Semester.ly

Johns Hopkins University | AS.110.303

The Mathematics of Politics, Democracy, and Social Choice

4.0

credits

Average Course Rating

(4.21)

This course is designed for students of all backgrounds to provide a mathematical introduction to social choice theory, weighted voting systems, apportionment methods, and gerrymandering. In the search for ideal ways to make certain kinds of political decisions, a lot of wasted effort could be averted if mathematics could determine that finding such an ideal were actually possible in the first place. The course will analyze data from recent US elections as well as provide historical context to modern discussions in politics, culminating in a mathematical analysis of the US Electoral College. Case studies, future implications, and comparisons to other governing bodies outside the US will be used to apply the theory of the course. Students will use Microsoft Excel to analyze data sets. There are no mathematical prerequisites for this course.

Fall 2022

(3.93)

Summer 2023

(4.48)

Fall 2022

Professor: Christopher Ratigan

(3.93)

Summer 2023

Professor: Christopher Ratigan

(4.48)

Lecture Sections

(88)

No location info
C. Ratigan
No class times info