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Instructor Class Description

Time Schedule:

Mark S. Handcock
CS&SS 594
Seattle Campus

Special Topics in Social Science and Statistics

Topics vary. Prerequisite: permission of instructor. Offered: AWSp.

Class description

In this course we will start from scratch and introduce practical nonparametric, distribution-oriented and graphical analytic methodological tools to aid social science research.

We will follow the topics of traditional methods courses: univariate and multivariate summaries; simple and multivariate regression. These will be supplemented by quantile regression, methods for categorical data and an overall emphasis on distributional comparisons.

These methods aim to bridge the gap between exploratory tools and parametric restrictions. The goal is to present the concepts, theory and practical aspects of the methods in a coherent fashion, with a minimum of statistical prerequisites.

Student learning goals

General method of instruction

There will be a two lectures per week. The lecture on Thursday will sometimes be a laboratory session.

Recommended preparation

It is recommended that the student have taken the core methods sequence in their program.

Class assignments and grading

There will be weekly homeworks and exercises relating to computing and programming. Students will be graded on a scale of 1 to 10 for each homework.

Grades will be on a digit scale. They will be based on the assigments and the final protect.

The information above is intended to be helpful in choosing courses. Because the instructor may further develop his/her plans for this course, its characteristics are subject to change without notice. In most cases, the official course syllabus will be distributed on the first day of class.
for additional information see the course webpage
Last Update by Mark S. Handcock
Date: 01/05/2003