Introduces students to advanced tools, methods, and theory for extracting insights from data. Covers computational tools for storing and working with large data sets and computational techniques for common big data scenarios like graph data, recommender systems, and dimensionality reduction. Emphasizes both the efficient implementation of algorithms as well as the mathematical foundations behind techniques.
instructor(s)
Nielsen, Kathy
Primary Instructor
- Spring 2023 / Spring 2025
Zamani, Majid
Primary Instructor
- Spring 2023 / Spring 2024 / Spring 2025
