CS 498 ABG
CS 498 ABG - Algorithms for Big Data
Spring 2027
| Title | Rubric | Section | CRN | Type | Hours | Times | Days | Location | Instructor |
|---|---|---|---|---|---|---|---|---|---|
| Algorithms for Big Data | CS498 | AB3 | 43751 | S3 | 3 | 1400 - 1515 | T R | 2200 Sidney Lu Mech Engr Bldg | |
| Algorithms for Big Data | CS498 | ABG | 46303 | S3 | 4 | 1400 - 1515 | T R | 2200 Sidney Lu Mech Engr Bldg | Chandra Chekuri |
| Algorithms for Big Data | CS498 | ABU | 50445 | S3 | 3 | 1400 - 1515 | T R | 2200 Sidney Lu Mech Engr Bldg |
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Official Description
Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: 1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.
Section Description
This course will describe some algorithmic techniques developed for handling large amounts of data that is often available in limited ways. Topics that will be covered include data stream algorithms, sampling and sketching techniques, and sparsification, with applications to signals, matrices, and graphs. Additional topics related to machine learning may also be covered. Emphasis will be on the theoretical aspects of the design and analysis of such algorithms. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/CSregister