Great Ideas in Data Science
9 units (3-0-6)
Prerequisites: linear algebra and probability at the level of EE 55 or of ACM 104 + ACM 116.
Data science is a broad discipline that encompasses statistics, signal processing, machine learning, information theory, inverse problems, games, networks, and much else. This course provides a survey of some of the big ideas in these areas that have had significant conceptual and practical impact.
The online version of the Caltech Catalog is provided as a convenience; however, the printed version is the only
authoritative source of information about course offerings, option requirements, graduation requirements,
and other important topics.