COMM 361: Law of Democracy (POLISCI 327C)
Combined with
LAW 7036 (formerly
Law 577). This course is intended to give students a basic understanding of the themes in the legal regulation of elections and politics. We will cover all the major Supreme Court cases on topics of voting rights, reapportionment/redistricting, ballot access, regulation of political parties, campaign finance, and the 2000 presidential election controversy. The course pays particular attention to competing political philosophies and empirical assumptions that underlie the Court's reasoning while still focusing on the cases as litigation tools used to serve political ends. Elements used in grading: Class participation and one day take home final exam. (
POLISCI 327C;
LAW 577)
Terms: Win
| Units: 3-5
Instructors:
Ginsberg, B. (PI)
;
Persily, N. (PI)
COMM 362: Topics in Political Communication: Media Bias, Selective Exposure, and Political Polarization (POLISCI 425S)
This course surveys theories of media bias, biased processing of information, and the empirical challenges facing researchers attempting to link changes in the composition of audiences to attitudinal and behavioral outcomes. (Limited to PhD students)
Last offered: Spring 2015
COMM 372G: Seminar in Psychological Processing
Limited to Ph.D. students. Advanced topics. Prerequisite: 272 or consent of instructor.
Terms: Win
| Units: 1-5
| Repeatable for credit
Instructors:
Reeves, B. (PI)
COMM 378: Media and Time
As media technologies change, they radically restructure our experience of time. This course will bring together readings from media psychology and media history in order to understand this process. Students will explore issues such as the acceleration of everyday life, new modes of screen use, and the transformation of cultural categories such as ¿narrative¿ and ¿the event¿. Ultimately the course aims to help prepare students to consider time in scholarship about media.
Last offered: Winter 2018
COMM 380: Curriculum Practical Training
Practical experience in the communication industries. Prerequisite: consent of instructor. Meets requirements for Curricular Practical Training for students on F-1 visas. (Staff)
Terms: Aut, Win, Spr, Sum
| Units: 1-5
| Repeatable for credit
COMM 382: Big Data and Causal Inference
Massive datasets are increasingly available for research as digital technologies pervade our lives. These data represent new opportunities for social science research, but prominent examples of data science research bear little resemblance to the research designs of social scientific inquiry. In this course, we use machine learning and statistical tools on large-scale datasets to answer social science questions of cause and effect. Familiarity with Python recommended. Enrollment limited to PhD students in COMM or Social Science who have completed or are currently taking graduate quantitative methods sequences in Economics, Political Science, Sociology, or Statistics. Contact ohtammy@stanford.edu for a permission number to enroll (please include a current CV).
Last offered: Winter 2017
COMM 382B: Research Seminar in Computational Social Science
Technological advances have generated massive datasets available to use for research. Graduate students are increasingly well trained in computational and statistical techniques, but often encounter resistance from publishers and reviewers when applying these techniques. This is a graduate research seminar in which students will carefully read cutting-edge works in computational social science, and discuss in detail their theory, data and empirical methods, and overall scientific contribution. We will consider what makes these works successful, and participants will present in the seminar. Instructor approval required for non-Ph.D. students to enroll. May be repeated for credit.
Last offered: Winter 2019
| Repeatable for credit
COMM 384: Media Technology Theory (ARTHIST 465, FILMSTUD 465A)
This course surveys major theoretical approaches to the study of media technologies, including Frankfurt School critical theory, media archaeology, actor network theory, science and technology studies, platform studies and theories of critical making. By the end of the course, students should have a rich familiarity with the literature in this area, as well as with exemplary empirical studies conducted within each tradition. Preference to Ph.D. students in Communication and Art and Art History. Consent of instructor required for non-PhD students.
Terms: Spr
| Units: 3-5
Instructors:
Denson, S. (PI)
;
Turner, F. (PI)
COMM 385: Media as Ways of Knowing
How do the tools and techniques of capturing, representing, storing, and transmitting information shape how and what we know? And how might such instruments influence the relationship between epistemic practices and forms social, cultural, and political life? This course will draw on scholarship across the history of science, science and technology studies, and media theory to consider the role media technologies play in how knowledge is produced, circulated, and authorized. ENROLLMENT LIMITED to PhD Students. Priority given to Comm PhD students
Terms: Win
| Units: 1-5
Instructors:
Li, X. (PI)
COMM 386: Media Cultures of the Cold War (ARTHIST 475)
The intersection of politics, aesthetics, and new media technologies in the U.S. between the end of WW II and the fall of the Berlin Wall. Topics include the aesthetics of thinking the unthinkable in the wake of the atom bomb; abstract expressionism and 'modern man' discourse; game theory, cybernetics, and new models of art making; the rise of television, intermedia, and the counterculture; and the continuing influence of the early cold war on contemporary media aesthetics. Readings from primary and secondary sources in art history, communication, and critical theory.
Last offered: Spring 2019
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