Computational Methods
30:204
(A few comments about the course as taught by Professor Hagle)

Computational Methods is a course specifically designed to provide first-year Political Science graduate students with the basic mathematical tools necessary to understand quantitative political science.  Although not all political scientists need advanced training in quantitative techniques, all should have an understanding of the basics.  Even if one does not plan to use quantitative techniques in his or her research, an understanding of the basics will allow more effective participation in departmental evaluations of the work of colleagues and job applicants.

My approach to the course is intuitive.  I use many examples and problems to illustrate concepts and try to present only a small number of proofs.  The course begins with a brief Algebra Review then moves on to Sets and Combinations.  We then prepare for the Calculus material with discussions on Limits and Continuity.  The Calculus material begins with Differential Calculus and continues on to Integral Calculus.  We finish the course with a brief section on Matrix Algebra.  

 Grades in the course are based on weekly homework assignments (50%) and a take-home final exam (50%).  See the syllabus for more details about the course.