ENROLL

Dimitrios Pavlounis

While the relationship between media and misinformation is not new, rapid technological change, including the emergence of major social media platforms, has resulted in an information environment where we are constantly confronted by conspiracy theories, manipulated statistics, doctored images, hyperpartisan clickbait, questionable ‘research’ studies, and everything in between. Left unchecked, this flow of misinformation can exacerbate social inequalities and undermine trust in the foundations of a democratic society. This course explores how misinformation spreads across a variety of networked media channels and examines the technical, social, and economic structures that enable this spread. Using current events to ground our inquiry, we will investigate topics such as algorithmic bias and recommendation systems; the evolution of conspiracy theories; memes and visual disinformation; media manipulation tactics; and the cultural capital of social media influencers. We will also develop best practices that can help orient us within our increasingly polluted information environment.  

Held for new first year students

Rini Y Keagy

This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.

Sophomore Priority. Extra Time required.

Waitlist for Juniors and Seniors: CAMS 111.WL1 (Synonym 61951)

Rini Y Keagy

This class introduces students to the full range of production tools and forms, building both the technical and conceptual skills needed to continue at more advanced levels. We will explore the aesthetics and mechanics of shooting digital video, the role of sound and how to record and mix it, field and studio production, lighting, and editing with Adobe Premiere Pro CC. Course work will include individual and group production projects, readings, and writing. This is an essential foundation for anyone interested in moving-image production and learning the specifics of CAMS' studios, cameras, and lighting equipment.

Sophomore Priority. Extra Time required.

Waitlist for Juniors and Seniors: CAMS 111.WL2 (Synonym 61962)

Dimitrios Pavlounis

Extra Time Evening Screenings

Mark Kanazawa

This course is an introduction to the statistical methods used by economists to test hypotheses and to study and quantify economic relationships. The course emphasizes both econometric theory and practical application through analysis of economic data sets using statistical software. Prior experience with R is strongly encouraged. Topics include two-variable and multiple regression, interval estimation and hypothesis testing, discrete and continuous structural change, parameter restrictions, model construction, experimental design, issues of functional specification, model overfitting and underfitting, heteroscedasticity, autocorrelation, and multicollinearity.

Prerequisite: Mathematics 111 and either Statistics 120 (formerly Mathematics 215) or Statistics 250 (formerly Mathematics 275), and Economics 110 and 111 or instructor consent

Catherine Fortin

Richard Keiser

Prerequisite: Sophomore Standing

Not open to first year students.