IS 590

Spring 2026 All Classes

All Classes

Advanced Topics in Information Foundations

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Credit: 2 OR 4 hours.

Variety of newly developed and advanced topics courses within the field of information foundations, intended to augment the existing Information Sciences curricula.

Additional fees may apply. See Class Schedule. May be repeated.

Class materials fee or field trip fee may be required.

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

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IS 590 class schedule data for spring 2026
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	69166	Lecture-Discussion	ML	9:30AM -12:20PM	T	37 Education Building	Bosch, N	Part of Term: 1 Date Range: 01/20/26-05/06/26 Degree Notes: ONL Info Science rate course. Credit: 4 hours Section Title: Causal Inference Mach Learning Section Info: Causal inference is crucial in many scenarios, such as when offering interventions intended to improve education or when making policy decisions that are expected to cause certain changes. However, conducting a randomized controlled trial to answer every research question is often infeasible, or even unethical. This course will cover perspectives on causality and cutting-edge machine learning methods for causal inference in situations with non-linear effects, heterogeneous effects, large numbers of confounders, natural experiments, and even observational data. Students should have some previous stats experience (EPSY 580, IS 507, or similar, or approval of instructor). Students should also have familiarity with loading and manipulating datasets in R or Python. Restriction(s): Restricted to Graduate - Urbana-Champaign.
	69300	Lecture	QI	9:00AM -11:50AM	F	Location Pending	Wagner, T	Part of Term: 1 Date Range: 01/20/26-05/06/26 Degree Notes: ONL Info Science rate course. Special Approval: Instructor Approval Required Credit: 4 hours Section Title: Queering Information Section Info: ### This course provides the student with two important opportunities. The first of these opportunities is to work with a small team of classmates to project manage, gather requirements for, design, build, test, and install an information system solution for an actual client. The second opportunity is to learn the language, tools, and techniques of agile project management. Emphasis will be placed on employing agile software development practices including automated testing, continuous integration, and test-driven development. Prerequisites: • Experience in creating static Web sites using HTML and CSS • Experience in programming (IS452 or equivalent) • Experience in creating dynamic Web sites using tools like Django, Flask, Drupal, or PHP is helpful but not required. • Experience in using relational databases is helpful but not required. Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to students in the Illinois Informatics Institute or Information Sciences department.