IS 497

Spring 2021 All Classes

All Classes

Topics in Data Analytics & Data Science

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Credit: 2 TO 4 hours.

Variety of newly developed and topics courses within Data Analytics & Data Science, intended to augment the existing Information Sciences curricula.

Additional fees may apply. See Class Schedule. 2 to 4 undergraduate hours. 2 to 4 graduate hours. May be repeated if topics vary.

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

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IS 497 class schedule data for spring 2021
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
71752	Online	DAO	9:00AM -11:50AM	W	n.a.	Weible, J	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Database Admin & Scaling Section Info: Requires Instructor approval, Email John Weible at jweible@illinois.edu. Database Administration & Scaling for IS. Prerequisite: IS 455 - Database Design & Prototyping, or IS 206 Database Concepts & Application. Involves database administration (DBA) broadly relevant to computational information science work…Involves database administration (DBA) broadly relevant to computational information science work. Explores several types of scalable database engines, using popular NOSQL and SQL products. Develops practical skills for managing reliable DBMS for production systems or to create analytically-focused NOSQL derivatives. Small student teams will experiment and present findings to the class, with student-directed inquiry encouraged. Readings, discussions, and situational problems drawn from real scenarios will involve managerial, ethical, and other aspects of the human side of professional DBA work. Some intro to virtual machines and cloud systems administration is included. Restriction(s): Restricted to students in the Information Sciences department. Not intended for students with Sophomore or Freshman class standing.
73402	Online	IM4	11:00AM -12:25PM	MW	n.a.	Davis, N Wickes, E	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Interdisc Meth Research Comput Section Info: Interdisciplinary Methods in Research Computing addresses technical and soft skills in managing computer-based research. Relevant to both technical and newly technical student researchers from disciplines across campus. This course will cover data management; process management and task automation; and research project management. Topics include data organization in spreadsheets, document revision control, data visualization, robust testing strategies, and reproducibility. Grad students will complete additional problems on each of their homework assignments including the final project. Meets with IS 497 IMO, ENGR 498 IM, and CSE 498 IM. Restriction(s): Restricted to Information Sciences or Library & Information Science or Informatics major(s) or minor(s). Restricted to Graduate - Urbana-Champaign.
72211	Online	IMO	11:00AM -12:25PM	MW	n.a.	Davis, N Wickes, E	Part of Term: 1 Date Range: 01/25/21-05/05/21 Degree Notes: ONL Info Science rate course. Credit: 3 hours Section Title: Interdisc Meth Research Comput Section Info: Interdisciplinary Methods in Research Computing addresses technical and soft skills in managing computer-based research. Relevant to both technical and newly technical student researchers from disciplines across campus. This course will cover data management; process management and task automation; and research project management. Topics include data organization in spreadsheets, document revision control, data visualization, robust testing strategies, and reproducibility. Meets with ENGR 498 IM. Restriction(s): Restricted to Library & Information Science or Informatics or Information Sciences major(s) or minor(s). Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.