Intro to Rhetorc&Perfm&SocActn

This course provides an introduction to the major ideas and concepts of rhetorical and performance studies and their contributions to social action. Students will be introduced to the thinkers and movements in rhetoric and performance most significant to how we understand ourselves: the ways we represent and remember our pasts, live our presents (presence), and imagine our futures. Theories of rhetoric and performance will be connected to each other and to our communication practices to examine how theories can be deployed as part of the art of living our lives.

Intro to Media Progrmng&Instns

The course is an introduction to the entire media programming process, with a special focus on the institutional structures and constraints that shape the content of electronic media. We will consider a variety of historical, technological, cultural, legal, political, economic, ethical, and other factors which influence programming, especially in terms of how they are playing out on the currently unfolding media scene.

Intro to Media and Culture

An introduction to the social role of mass media in advanced industrial Western societies, focusing on how relationships between mass communications and the surrounding economic framework affect cultural, political, and ideological processes in society. An examination of social and historical contexts within which newspapers, radio, and television developed and how they are structured with attention to both the domestic and international implications of treating mass media as just another industry.

S-Theory of Computation

The theory seminar is a weekly meeting in which topics of interest in the theory of computation - broadly construed - are presented. This is sometimes new research by visitors or local people. It is sometimes work in progress, and it is sometimes recent material of others that some of us present in order to learn and share. This is a one-credit seminar which may be taken repeatedly for credit. May be repeated for credit up to six times.

S-Machine Learning&Time Series

This seminar will focus on models and algorithms for supervised and unsupervised machine learning with time series. Topics will include discrete and continuous time models from machine learning, statistics and econometrics. We will investigate a variety of time series problems including prediction, detection, clustering, and similarity search. Coursework for the one credit option will include paper presentations and quizzes. Students in the three credit option will also complete a course project.

S-Machine Learning&Time Series

This seminar will focus on models and algorithms for supervised and unsupervised machine learning with time series. Topics will include discrete and continuous time models from machine learning, statistics and econometrics. We will investigate a variety of time series problems including prediction, detection, clustering, and similarity search. Coursework for the one credit option will include paper presentations and quizzes. Students in the three credit option will also complete a course project.
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