IS 390

Fall 2026 All Classes

All Classes

Special Topics in Information Studies

Credit: 1 TO 3 hours.

Directed and supervised investigation of selected topics in information studies that may include among others computers and culture; information policy; community information systems; production, retrieval and evaluation of scientific or social science knowledge; computer-mediated communication; and computer-supported cooperative work.

May be repeated. Prerequisite: Sophomore standing.

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IS 390 class schedule data for fall 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
75101	Lecture-Discussion	BKS	4:30PM -5:50PM	TR	310 David Kinley Hall	Rusch, A	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 3 hours Section Title: Blockchain and Society Section Info: This course examines blockchain and decentralized technologies through both a technical and social lens. Topics include the introduction and evolution of blockchain networks, consensus mechanisms used to facilitate transactions, smart contracts and decentralized applications, and the implications of governance models. No special skills or prerequisite knowledge are needed as the course also covers the technical specifics needed to implement blockchain systems. Always Restricted to Information Sciences majors. At this time, we do not plan on lifting the restrictions on the course. 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): Restricted to Informatics or Information Sciences or Data Science or Game Studies and Design or Information Sciences + DS major(s) or minor(s). Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
71876	Lecture-Discussion	DAM	2:00PM -3:20PM	TR	53 Sch of Info Sciences Bldg	Dubin, D	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 3 hours Section Title: Decision Analysis and Modeling Section Info: Decision making is an essential part of the human experience. We take part in hundreds of decisions per day, both individually and collectively. During the last one hundred years, advances in applied philosophy and probability theory have contributed tools for representing decisions, their rationales, and outcomes with clarity and precision. Alongside these developments have emerged findings in the behavioral sciences about how individuals and groups tend to make decisions in practice. The former (normative) and the latter (descriptive) branches of decision science offer us complementary windows into the decisions we face in our personal and professional lives. In our work as information specialists, the tools of decision theory can help us incorporate our familiar inferential modeling and analysis methods into wellreasoned justifications for plans of action. Restriction(s): Restricted to Informatics or Information Sciences or Data Science or Game Studies and Design or Information Sciences + DS major(s) or minor(s). Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
80514	Lecture-Discussion	GDB	10:30AM -11:50AM	TR	12A Sch of Info Sciences Bldg	Evans, C	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Credit: 3 hours Section Title: Graph Databases Restriction(s): Restricted to Informatics or Information Sciences or Data Science or Game Studies and Design or Information Sciences + DS major(s) or minor(s). Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.