printer friendly pageCOMM 326: Advanced Topics in Human Virtual Representation
Topics include the theoretical construct of person identity, the evolution of that construct given the advent of virtual environments, and methodological approaches to understanding virtual human representation. Prerequisite: PhD student or consent of instructor.
Last offered: Spring 2015
| Repeatable
for credit
COMM 331G: Communication and Media Ethics
Limited to Ph.D. students. Advanced topics in press ethics and responsibility. Prerequisite: 231 or consent of instructor.
Last offered: Spring 2013
COMM 335: Deliberative Democracy and its Critics (AMSTUD 135, COMM 135, COMM 235, POLISCI 234P, POLISCI 334P)
This course examines the theory and practice of deliberative democracy and engages both in a dialogue with critics. Can a democracy which emphasizes people thinking and talking together on the basis of good information be made practical in the modern age? What kinds of distortions arise when people try to discuss politics or policy together? The course draws on ideas of deliberation from Madison and Mill to Rawls and Habermas as well as criticisms from the jury literature, from the psychology of group processes and from the most recent normative and empirical literature on deliberative forums. Deliberative Polling, its applications, defenders and critics, both normative and empirical, will provide a key case for discussion.
Terms: Spr
| Units: 3-5
Instructors:
Fishkin, J. (PI)
;
Vannette, D. (PI)
COMM 339: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (POLISCI 421K, PSYCH 231)
The social and psychological processes involved in asking and answering questions via questionnaires for the social sciences; optimizing questionnaire design; open versus closed questions; rating versus ranking; rating scale length and point labeling; acquiescence response bias; don't-know response options; response choice order effects; question order effects; social desirability response bias; attitude and behavior recall; and introspective accounts of the causes of thoughts and actions.
Terms: Spr
| Units: 4
Instructors:
Krosnick, J. (PI)
COMM 360G: Political Communication (POLISCI 425)
An overview of research in political communication with particular reference to work on the impact of the mass media on public opinion and voting behavior. Limited to Ph.D. students. Prerequisite: 260 or consent of instructor.
Last offered: Autumn 2013
COMM 361: Regulation of the Political Process (POLISCI 327C)
Combined with
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:
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: Spr
| Units: 1-5
| Repeatable
for credit
Instructors:
Reeves, B. (PI)
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
4 times
(up to 20 units total)
Instructors:
Bailenson, J. (PI)
;
Grimes, A. (PI)
;
Hamilton, J. (PI)
...
more instructors for COMM 380 »
Instructors:
Bailenson, J. (PI)
;
Grimes, A. (PI)
;
Hamilton, J. (PI)
;
Hancock, J. (PI)
;
Iyengar, S. (PI)
;
Krosnick, J. (PI)
;
Pan, J. (PI)
;
Turner, F. (PI)
COMM 382: Big Data and Causal Inference
Massive datasets of text, images, video, so-called big data, are increasingly available for research because of the pervasive adoption of new information communication technologies such as social media. These data represent new opportunities for social science research, but prominent examples of big data and data science bear little resemblance to the research designs of social scientific inquiry for causal inference. In this course, we harness the power of big data for causal inference by using machine learning and statistical tools on large-scale digital media datasets to answer social science questions of cause and effect. Prerequisite: Ph.D. student or consent of instructor; students should have taken quantitative methods and be willing to learn programming. Familiarity with Python recommended.
Terms: Win
| Units: 1-5
Instructors:
Pan, J. (PI)
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