Guide to Course Selection: Prequisites and Examples of Student Schedules
The chart of workshops below will aid participants in designing a course of study for the entire eight-week Program. On the left side of the arrows are various points of entry into the Program. These also serve as the prerequisites for the course selections in the second four-week session of the Program, which appear to the right of the arrows.
Introduction to Statistics and Data Analysis I assumes absolutely no previous experience in statistics. Individuals who have had a statistics course within the last three or four years should probably elect Regression Analysis I: Introduction. Those with at least two terms (one year's worth) of statistical course work will probably find Regression Analysis II: Linear Models an appropriate choice. Participants with strong backgrounds in statistics and matrix algebra and some background in calculus should choose Advanced Multivariate Statistics, Regression Analysis III: Advanced Methods, Maximum Likelihood Estimation, or Bayesian Methods.
The Program has instituted a multi-course component that serves as an introduction to mathematical modeling in the social sciences: Game Theory; Rational Choice Theories; and Complex Systems Models in the Social Sciences. The courses are scheduled so that an individual can attend them and still participate in the statistics workshops.
When selecting coursesfrom the four- or eight-week curriculum, participants can take either one or two workshops, depending upon individual interests, background, and scheduling demands. The workshops form the core of the curriculum with lectures as important supplements to the workshops. The election of two workshops, plus additional lectures, constitutes a full load.
Naturally, each participant's schedule of courses will be tailored to his/her individual needs. A few prototypes of participants' schedules are presented below solely for the purpose of providing some notion of what constitutes a reasonable commitment for an eight-week program of study.
In addition, please note that election of a short workshop that meets from 9 a.m. to 5 p.m. precludes participation in any other course for that session.
