Techniques for processing growing amounts of data efficiently, such as sampling, sketching, dimensionality reduction, and core sets, plus scenarios where large datasets are distributed across machines requiring efficient communication protocols or MapReduce algorithms. Includes a final project and programming assignments.

Level

grad

Department

CAS

Credits

4

Prerequisites

Basic data structures and algorithms