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151 - 160 of 235 results for: SOC

SOC 271: Organizational Analysis (EDUC 288)

Principles of organizational behavior and analysis; theories of group and individual behavior; organizational culture; and applications to school organization and design. Case studies.
Terms: Aut | Units: 4

SOC 273: Gender and Higher Education: National and International Perspectives (EDUC 173, EDUC 273, FEMST 173, SOC 173)

This course examines the ways in which higher education structures and policies affect females, males, and students in relation to each other and how changes in those structures and policies improve experiences for females and males similarly or differently. Students are expected to gain an understanding of theories and perspectives from the social sciences relevant to an understanding of the role of higher education in relation to structures of gender differentiation and hierarchy. Topics include undergraduate and graduate education; identity and sexuality; gender and science; gender and faculty; and the development of feminist scholarship and pedagogy. Attention is paid to how these issues are experienced by women and men in the United States, including people of color, and by academics throughout the world, and how these have changed over time.
Last offered: Spring 2013

SOC 277D: Economic Elites in the 21st Century (SOC 177D)

Elites have gained disproportionately from the growth of the global economy over the past two decades, leading to serious concerns about inequality and to protests against the 1% in several countries. This course addresses the role of economic elites in the world economy and their relationship to global inequality. Topics include the evolution and consequences of global inequality, the composition of economic elites in various countries, and economic elites¿ impact on politics, education, culture, and the economy in the US and abroad. We also discuss potential solutions to global inequality.
Terms: Win | Units: 3-5
Instructors: Young, P. (PI)

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 (MS&E 330)

Data and algorithms are rapidly transforming law enforcement and criminal justice, including how police officers are deployed, how discrimination is detected, and how sentencing, probation, and parole terms are set. Modern computational and statistical methods offer the promise of greater efficiency, equity, and transparency, but their use also raises complex legal, social, and ethical questions. In this course, we analyze recent court decisions, discuss methods from machine learning and game theory, and examine the often subtle relationship between law, public policy and statistics. Students work in interdisciplinary teams to explore these issues in an empirical or investigative project of their choice. Prerequisite: An introductory course in applied statistics (e.g. MS&E 125). Recommended: experience programming in R or Python.
Terms: Win | Units: 3

SOC 280A: Foundations of Social Research (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: Parigi, P. (PI)

SOC 280B: Introduction to Data Analysis (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. Limited enrollment; preference to Sociology majors.
Terms: Aut | 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 300: Workshop: Teaching Development

For first-year Sociology doctoral students only. The principles for becoming an effective instructor, adviser, and mentor to undergraduates. Topics: ethics, course organization and syllabus development, test construction and grading, conflict resolution, common classroom problems, and University policies related to matters such as sexual harassment. Technologies and other topics related to making effective presentations, and campus resources to improve classroom performance. Roundtable discussions with faculty and advanced graduate students known for teaching excellence. Students may be asked to give a demonstration lecture.
Terms: Spr | Units: 2

SOC 305: Graduate Proseminar

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