Political Science | Math Tools for Political Scientists (P/F 1 Cr.)
Y572 | 3395 | Monroe


This is a first eight weeks (1) credit hour, Pass/Fail graduate course.

This course is a review of topics in mathematics that are particularly
useful in the application of formal political theory and political
methodology.  Typical topics include Euclidean spaces and functions; sets,
neighborhoods, sequences, and limits; derivatives; integrals; vectors and
matrices; optimization.
This course has no prerequisites.  It is pitched directly at the typical
political science graduate student whose mathematical training is limited to
high school algebra and perhaps some calculus, although those with more
substantial mathematics training may find particular topics to be new and a
refresher on others helpful.  Generally the course should be taken in the
Spring semester of the first year.  Students who intend to take Y573
(Introduction to Formal Theory) or Y577 (third in statistics series), and
who do not have an equivalent background, should take this course prior to
or concurrent with those; it is also recommended that it be taken prior to
or concurrent with Y576 (second in statistics series).
The course meets for one hour once a week for eight weeks.  There will be
approximately 30 pages of technical reading a week.  There will be problem
sets each week.  For some of the problems, the computer program Maple will
be used to help visualize and solve problems.  No prior experience with
Maple is necessary -- this computer training should provide students with a
tool useful for future work.  There are no exams and the course will be
graded on a pass/fail basis.