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SOSC 1200 Quantitative Social Analysis [3 Credits]
This course introduces students to quantitative social analysis by presenting a selection of influential classic studies from across the social sciences that make use of quantitative techniques to examine important topics as crime, careers, health, education, inequality, family, and economic, social and political change. The class will also present examples of recent studies that make exemplary use of innovative data and methods. Along the way, students will learn about the differences between the concerns, paradigms, and methodologies of the major social science disciplines.
SOSC 1210 First-Year Seminar for Quantitative Social Analysis [1 Credit]
Through presentations from invited guests, this seminar will introduce students to quantitative research using social data being conducted by faculty in the Division of Social Science and elsewhere, and to applications of quantitative social analysis in government, industry, and non-governmental organizations. Remaining class sessions will introduce the goals and organization of the program, and survey careers in which students may make apply their skills in quantitative social analysis, and lead discussions about how to prepare for those careers. For QSA students only. For other students, instructor approval is required for enrolling in the course. Graded P or F.
SOSC 2400 Quantitative Data Analysis for Social Research II [3 credits]
Introduction to quantitative methods used across social science disciplines. The course covers basic statistical inference, the linear regression model, and regression analysis in practice. The emphasis is applied. Students will learn to use a major statistical package to analyze social data of the type commonly used in research. Special attention will be given to the specification of models, the interpretation of results, and the challenges posed by reverse causality, omitted variable bias, endogeneity, and other issues that commonly arise in the analysis of social data. The course will briefly introduce elaborations the linear regression model developed to address specific situations such as limited dependent variables. Students who do not have the pre-requisites may enroll in the course with approval by the instructor. Prerequisite: SOSC 1100.
SOSC 3700 Quantitative Social Analysis Practicum [1 credit]
The course is intended to prepare students for the Quantitative Social Analysis Capstone Project by giving them practical experience in the quantitative analysis of social data by independently applying skills acquired in their required and elective methods courses. Students will either conduct a small research project related to the theme of a topical course in the Division of Social Science in which they are concurrently enrolled, or complete an internship that involves application of skills learned in their methods courses. Enrolled students will meet as a class at regular intervals during the semester and submit a final report. Students who plan to carry out a project are expected to be simultaneously enrolled in a topical Social Science course. May only be taken twice. For QSA students only. Prerequisites: SOSC 1100 and SOSC 2400. (Apply here)
More Details about SOSC 3700
1. Participating in a Faculty Research Project
2. Internship
3. Independent Project
4. Undergraduate Research Opportunities Program (UROP)
SOSC 4100 Research Pro-seminar [1 credit]
Students will meet regularly to develop ideas for their Capstone Project. Faculty in the Division of Social Science and elsewhere who have datasets that students may use for their Project will be invited to introduce those datasets. Some class sessions will be devoted to meetings with speakers in the Division of Social Science seminar series, who will be asked to share their experiences developing their careers, and offer advice to students contemplating postgraduate studies. For 4th year QSA students only. Prerequisite: SOSC 3700A/B.
SOSC 4110 Capstone Project [3 credits]
The capstone project aims to prepare students to conduct independent research in quantitative social science. Students will choose a topic, identify appropriate data and methodologies, design and execute an analysis, and write up and present the results. For 4th year QSA students only. Enrollment in the course requires approval of the course coordinator.
最后更新：2020年8月20日 16:42