Data Sciences (DATA)

An interdisciplinary introduction to how data is organized, managed, visualized and analyzed across STEM disciplines. Ethical collection and use of data, with real-world test cases. Fundamentals of the tools and applications used in the analysis of data sets.

This is an introductory course on machine learning with focus on regression and classification methods. The objective is to familiarize students with some basic models and algorithms for machine learning and prepare them for research or industry application of machine learning techniques. Several software libraries and publicly available datasets will be used to illustrate the application of these techniques. The emphasis will be on machine learning algorithms and application, with some broad explanation of the underlying principles.