IS 497

Fall 2020 All Classes

All Classes

Topics in Data Analytics & Data Science

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 fall 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	73556	Online	DAO	9:00AM -11:50AM	M	n.a.	Weible, J	Part of Term: 1 Date Range: 08/24/20-12/09/20 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. 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. Graduate student questions may be sent to ischool-advising@illinois.edu Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to students in the Information Sciences department.