IS 497

Spring 2025 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 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
72289	Laboratory-Discussion	DAG	9:00AM -11:50AM	M	131 Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Database Admin & Scaling Section Info: 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 Graduate - Urbana-Champaign.
73399	Laboratory-Discussion	DAU	9:00AM -11:50AM	M	131 Grad Sch of Lib & Info Science	Weible, J	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Database Admin & Scaling Section Info: 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.Go to https://go.ischool.illinois.edu/CourseRegistrationRestrictions for information on enrollment restrictions. We will not provide overrides, please wait until the course restrictions are removed. 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.
74865	Lecture-Discussion	MDG	4:00PM -6:50PM	W	46 Grad Sch of Lib & Info Science	Moss, C	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Market Analytics for Info Prof Section Info: This course centers data analytics tools used in marketing analysis and provides experience in practical application. A variety of techniques (constituent analysis, segmentation, focus groups & surveys, perceptual mapping, data clustering, personas, UX testing, marketing algorithms, and predictive modeling) are surveyed and recent developments (digital communication platforms) are reviewed. Upon completion, students will create a portfolio presentation which will include a constituent data visualization, sample segmentation, an A/B tested campaign, UX assessment, and predictive data model. Restriction(s): Restricted to Graduate - Urbana-Champaign.
74866	Lecture-Discussion	MDU	4:00PM -6:50PM	W	46 Grad Sch of Lib & Info Science	Moss, C	Part of Term: 1 Date Range: 01/21/25-05/07/25 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Market Analytics for Info Prof Section Info: This course centers data analytics tools used in marketing analysis and provides experience in practical application. A variety of techniques (constituent analysis, segmentation, focus groups & surveys, perceptual mapping, data clustering, personas, UX testing, marketing algorithms, and predictive modeling) are surveyed and recent developments (digital communication platforms) are reviewed. Upon completion, students will create a portfolio presentation which will include a constituent data visualization, sample segmentation, an A/B tested campaign, UX assessment, and predictive data model. Go to https://go.ischool.illinois.edu/CourseRegistrationRestrictions for information on enrollment restrictions. We will not provide overrides, please wait until the course restrictions are removed. 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.