All Courses
-
EECS 556 001 WN 2018
Image processing
-
HS 650 001 WN 2018
The DSPA graduate course provides a general overview of the principles, concepts, techniques, tools and services for managing, harmonizing, aggregating, preprocessing, modeling, analyzing and interpreting large, multi-source, incomplete, incongruent, and heterogeneous data (Big Data). The focus will be to expose students to common challenges related to handling Big Data and present the enormous opportunities and power associated with our ability to interrogate such complex datasets, extract useful information, derive knowledge, and provide actionable forecasting. Biomedical, healthcare, and social datasets will provide context for addressing specific driving challenges. Students will learn about modern data analytic techniques and develop skills for importing and exporting, cleaning and fusing, modeling and visualizing, analyzing and synthesizing complex datasets. The collaborative design, implementation, sharing and community validation of high-throughput analytic workflows will be emphasized throughout the course.
-
ITALIAN 250 001 WN 2018
This course will follow the thread of sex (passion, desire, romantic love) and the city (laws, politics, urban space and customs, and the civilizing process) from ancient texts (Plato’s Symposium, Aristotle’s Politics, Terence’s Andria, Ovid’s Art of Love, and Augustine’s Confessions and City of God) to the noble Parisian prostitute of Verdi’s Traviata, an urban sex-worker with a Platonic idea of self-sacrificing love. This course looks at a predominant cultural paradigm still in full vigor today – the love story – against its particular European, especially Italian, history. Other texts include excerpts from Boccaccio’s Decameron, Dante’s New Life and Divine Comedy, Petrarch’s lyric poems, Castiglione’s Courtier and Machiavelli’s play, Mandragola. Course Requirements: Evaluation will be based on strong class participation, frequent short writing (blog), two papers and a take-home final exam.