CS 513

Summer 2024

All Classes
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 537. See IS 537.

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:
05/13/24-08/01/24
Section Info:
This online MCS section is ONLY available to students in the program. This course is Asynchronous: 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. 4 graduate hours. No professional credit.
Restriction(s):
Restricted to MCS:Computer Sci Online -UIUC.
42250
Online
CHI
ARRANGED
n.a.
n.a.
Ludaescher, B
Part of Term:
SF
Date Range:
05/13/24-08/01/24
Section Info:
This section is designated for Chicago MCS students only. It may include both online and in-person components. Students are responsible for completing homework, quizzes, and any required in-person activities. Please refer to your professor for further details on expectations.
Restriction(s):
Restricted to MCS: Computer Sci OFF - 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