CS 513

Summer 2019

Part of Term SF
May 13-Aug 1
Theory & Practice of Data Cleaning
Course in Catalog
List of Terms offered
Register for Classes

SHOW FINAL EXAM SCHEDULE

Credit: 4 hours.

Same as IS 532. See IS 532.

My Favorites
My Schedule
Section Status updates every 10 minutes.
CRN Type Section Time Day Location Instructor Section Details
40022
Online
AO
ARRANGED
n.a.
n.a.
Ludaescher, B
Part of Term:
SF
Date Range:
05/13/19-08/01/19
Section Info:
Data cleaning (also: cleansing) is the process of assessing and improving data quality for later analysis and use, and is a crucial part of data curation and analysis. This course identifies data quality issues throughout the data lifecycle, and reviews specific techniques and approaches for checking and improving data quality. Techniques are drawn primarily from the database community, using schema-level and instance-level information, and from different scientific communities, which are developing practical tools for data pre-processing and cleaning. Same as IS 532. 4 graduate hours. No professional credit.
Restriction(s):
Restricted to MCS:Computer Sci Online -UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC.
COURSE EXPLORER
Email: Course Explorer Feedback

OFFICE OF THE REGISTRAR | 901 W. Illinois Street, Urbana, Illinois 61801

Site developed by: Technology Services at Illinois | UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN
1102 Digital Computer Laboratory | MC-256 | Urbana, IL 61801 | phone 217-244-7000