CS 513

Summer 2021

Part of Term SF
May 17-Aug 5
Theory & Practice of Data Cleaning
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Credit: 4 hours.

Same as IS 537. See IS 537.

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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:
05/17/21-08/05/21
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.
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