RACE & NATIONAL IDENTITY IN US
The sociology and history of a multiracial and ethnically stratified society. Comparative examinations of several U.S. racialized and ethnic groups. Enrollment limited to 35.
S- Digital Civics
In this seminar class, students will learn key concepts and background on HCI for digital civics, read and discuss key papers, case studies and digital civics systems that question conventional models of public participation. Students will present papers, participate in group discussions, and carry out research projects in teams. Topics include human-computer interaction, research methods for digital civics, social computing, citizen science, collective intelligence, and community sourcing. This course does not count toward any requirements for the CS major or minor.
S- Digital Civics
In this seminar class, students will learn key concepts and background on HCI for digital civics, read and discuss key papers, case studies and digital civics systems that question conventional models of public participation. Students will present papers, participate in group discussions, and carry out research projects in teams. Topics include human-computer interaction, research methods for digital civics, social computing, citizen science, collective intelligence, and community sourcing. This course does not count toward any requirements for the CS major or minor.
Philosophy of Film
Although film and philosophy appear very different at first glance, a more careful look reveals film to be a medium well-suited to give expression to philosophical ideas. This course will pair films with philosophical texts in order to introduce a wide range of philosophical ideas in such diverse areas of philosophy as ethics and metaphysics, social and political philosophy, and epistemology. The films will be drawn from a variety of cinematic traditions, such as popular narrative film, documentary, and the art film. There will be film screenings.
ST-Time Series
This course aims to introduce basic concepts and modeling techniques for time series data. It emphasizes implementation of the modeling techniques and their practical application in analyzing actuarial and financial data. The open source program R will be used. Chapter 7, 8 and 9 of "Regression Modeling with Actuarial and Financial Applications", by E.W. Frees, Cambridge University Press, 2010 will be covered, if time allows.
Intermediate German
Literary and expository texts as well as audio-visual materials prepare students to read and discuss German fiction and non-fiction with understanding and enjoyment. Review of the chief aspects of German grammar. Stresses improvement of reading facility and vocabulary with continued practice in speaking and writing. Prerequisite: GERMAN 120 or equivalent.
Regression&Analysis/Variance
Regression analysis is the most popularly used statistical technique with application in almost every imaginable field. The focus of this course is on a careful understanding and of regression models and associated methods of statistical inference, data analysis, interpretation of results, statistical computation and model building.
Statistics I
First semester of a two-semester sequence. Emphasis given to probability theory necessary for application to and understanding of statistical inference. Probability models, sample spaces, conditional probability, independence. Random variables, expectation, variance, and various discrete and continuous probability distributions. Sampling distributions, the Central Limit Theorem and normal approximations. Multivariate calculus introduced as needed. Prerequisites: MATH 132, or 136. (Gen.Ed. R2)