IS 477

Fall 2022 Part of Term 1

Part of Term 1
Aug 22-Dec 7

Data Management, Curation & Reproducibility

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Credit: 3 OR 4 hours.

Addresses issues in Data Management, Curation & Reproducibility from a Data Science perspective. We discuss definitions of data science, and then introduce and use the Data Science Life Cycle as an intellectual foundation. Topics include Research Artifact Identification and Management, Metadata, Repositories, Economics of Artifact Preservation and Sustainability, and Data Management Plans. We use the case study to ground our discussions in both data sets and in specific data science research. This course requires a final project that applies course knowledge to a data science experiment and creates a data management plan for that experiment.

3 undergraduate hours. 4 graduate hours. Prerequisite: IS 205 or STAT 207 or equivalent programming experience.

This course satisfies the General Education Criteria in Fall 2022 for:

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IS 477 class schedule data for fall 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	74040	Lecture-Discussion	ACG	12:30PM -3:20PM	R	Sidney Lu Mech Engr Bldg	Maemura, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Info: Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Restricted to students in the Information Sciences department. Restricted to Graduate - Urbana-Champaign.
	77487	Lecture-Discussion	ACU	12:30PM -3:20PM	R	Sidney Lu Mech Engr Bldg	Maemura, E	Part of Term: 1 Date Range: 08/22/22-12/07/22 Degree Notes: ONL Info Science rate course. Credit: 3 hours Section Info: Junior or Senior standing. Restrictions lifted by noon on 7/22/22. For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. Questions may be sent to bsis-advising@illinois.edu. Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.