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181 - 190 of 269 results for: SOC

SOC 278: Introduction to Computational Social Science (MS&E 231)

With a vast amount of data now collected on our online and offline actions -- from what we buy, to where we travel, to who we interact with -- we have an unprecedented opportunity to study complex social systems. This opportunity, however, comes with scientific, engineering, and ethical challenges. In this hands-on course, we develop ideas from computer science and statistics to address problems in sociology, economics, political science, and beyond. We cover techniques for collecting and parsing data, methods for large-scale machine learning, and principles for effectively communicating results. To see how these techniques are applied in practice, we discuss recent research findings in a variety of areas. Prerequisites: introductory course in applied statistics, and experience coding in R, Python, or another high-level language.
Terms: Aut | Units: 3

SOC 279: Law, Order & Algorithms (CSRE 230, MS&E 330)

Data and algorithms are transforming law enforcement and criminal justice, a shift that is ripe for rigorous empirical and narrative exploration. This class is centered around several data-driven projects in criminal justice, with the goal of fostering greater understanding, transparency, and public accountability. Students work in interdisciplinary teams, using a combination of statistical and journalistic methods. Some of the work may be published by news organizations or may be used to advance data journalism investigations. Students with a background in statistics, computer science, law, public policy or journalism are encouraged to participate. Enrollment is limited, and project teams will be selected during the first week of class.
Terms: Spr | Units: 3
Instructors: Goel, S. (PI)

SOC 280A: Foundations of Social Research (CSRE 180A, SOC 180A)

Formulating a research question, developing hypotheses, probability and non-probability sampling, developing valid and reliable measures, qualitative and quantitative data, choosing research design and data collection methods, challenges of making causal inference, and criteria for evaluating the quality of social research. Emphasis is on how social research is done, rather than application of different methods. Limited enrollment; preference to Sociology and Urban Studies majors, and Sociology coterms.
Terms: Win | Units: 4
Instructors: Pedulla, D. (PI)

SOC 280B: Introduction to Data Analysis (CSRE 180B, SOC 180B)

Methods for analyzing and evaluating quantitative data in sociological research. Students will be taught how to run and interpret multivariate regressions, how to test hypotheses, and how to read and critique published data analyses.
Terms: Spr | Units: 4
Instructors: Jackson, M. (PI)

SOC 281B: Sociological Methods: Statistics (SOC 181B)

(Graduate students register for 281B.) Statistical methods of relevance to sociology: contingency tables, correlation, and regression.

SOC 297: Comparative Higher Education (EDUC 349)

This course examines the expansion, impact, and organization of higher education across the world. This course engages students with sociological theory and comparative research on global and national sources of influence on higher education developments, e.g. admissions criteria, curricular content, governance structure.. At the end of the course students should be able to compare and contrast developments across countries.
Terms: Spr | Units: 3-4
Instructors: Ramirez, F. (PI)

SOC 300: Workshop: The Art and Joy of Teaching

Note: for first-year Sociology Doctoral Students only.nThis class will prepare you for the important roles as undergraduate instructors at Stanford. It rests on the idea that teaching is not only an art that we can all learn, continually improve, and cultivate; teaching can also become a source of great joy and personal meaning during your graduate career, and beyond. You will not only learn how to become an effective instructor in your day-to-day teaching roles (e.g., how to write a compelling syllabus, deliver a powerful lecture, lead an engaging discussion section, build an inclusive classroom, juggle with teaching logistics, make best use of technology, campus resources etc.); you will also discover that teaching is - above all a deeply personal process. While your students will all have different backgrounds, stories and learning styles, we, too, all have different philosophies and ways of teaching. Throughout this class, we will help each other explore what these might be, how we can develop and cultivate them, and, finally, how we can actively employ them to foster learning environments that allow for both academic, as well as personal growth. It is my hope that, at the end of this class, you will embark on your very own educational journeys as teacher-learners who unlock the many great potentials that reside not only in your students, but also in you: plus est en vous! There is more in you (than you think!) With this in mind and the right tools in our hands, we can begin to positively transform our students, while allowing ourselves to be transformed by them at the very same time: this is the art and joy of teaching.
Terms: Spr | Units: 2

SOC 304: Experimental Methods in the Social Sciences

This course will introduce students to the logic, design, and implementation of experiments for social science research. We will begin by developing an understanding of how experimental research designs can address some of the central threats to causal identification, such as selection and omitted variables bias. Students will then engage with scholarship that has utilized experimental research designs to produce theoretical insights about topics ranging from social stratification to the dynamics of cultural markets to political mobilization. This course will also cover techniques for analyzing experimental data, strategies for dealing with noncompliance, and combining experiments with other methods of inquiry. The course will culminate with students developing an experimental research design proposal related to their own scholarly interests. While a basic understanding of statistics is necessary for this course, the emphasis will be on research design.
Last offered: Spring 2017

SOC 305: Graduate Proseminar

For first-year Sociology doctoral students only, Introduction and orientation to the field of Sociology. May be repeat for credit
Terms: Aut, Win | Units: 1 | Repeatable for credit
Instructors: Jimenez, T. (PI)

SOC 308: Social Demography

For graduate students and advanced undergraduates. Topics: models of fertility behavior, migration models, stable population theory, life table analysis, data sources, and measurement problems. How population behavior affects social processes, and how social processes influence population dynamics. Recommended: sociological research methods; basic regression analysis and log linear models.
Terms: Spr | Units: 4-5
Instructors: Snipp, C. (PI)
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