IS 477

Spring 2021 All Classes

All Classes

Data Management, Curation & Reproducibility

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Credit: 3 OR 4 hours.

This course 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: STAT 107/CS 107/IS 107; STAT 207/CS 207/IS 207; CS 227/STAT 227.

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

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IS 477 class schedule data for spring 2021
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	71652	Online	AOG	9:00AM -10:55AM	F	n.a.	Jett, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 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.
	71653	Online	AOU	9:00AM -10:55AM	F	n.a.	Jett, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Credit: 3 hours Section Info: Restricted to Information Sciences majors until one week before classes begin (by noon 1/18/2021). For more information about this major, please visit: http://go.ischool.illinois.edu/BSIS. Questions may be sent to ischool-is@illinois.edu Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.