INFO 490

Spring 2026 Part of Term 1

Part of Term 1
Jan 20-May 6

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Topics of current interest.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated if topics vary. Prerequisite: Consent of instructor. Other prerequisites as specified for each topic offering. See Class Schedule.

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INFO 490 class schedule data for spring 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
78141	Laboratory-Discussion	3DM	9:30AM -10:50AM	TR	0060 Siebel Center for Design	Boyce, C	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: 3D Modeling & Simulation Section Info: 3D Modeling & Simulation for Visual Thinking. This course explores the use of 3D software as a medium for developing scientific visualization, interactive media, and general systems thinking. Working primarily in Blender, students will build skills in 3D modeling, control system design, and dynamic simulation. Through hands-on projects, they’ll learn how to model forms and arrange them within systems that are relational, adaptable, and governed by internal rules or patterns. Core systems theory concepts—modularity, structure, hierarchy, feedback, and distribution—serve as a through line, equipping students with both practical and theoretical foundations for contributing to science through visualization. Additional lab time required outside of scheduled class time. Prerequisite GSD 390 Intro to 3D Game Art, or consent of instructor with sufficient experience using Blender. Restriction(s): Not intended for students with Freshman or Sophomore class standing.
64188	Online	DFG	10:00AM -11:15AM	TR	n.a.	Bambenek, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Digital Forensics II Section Info: This is a course for graduate students and advanced undergraduates wanting to develop greater depth and breadth in digital forensics and assumes a basic knowledge of the material covered in Digital Forensics I. Topics include standards of evidence, investigatory procedures, forms of investigation, legal procedures, reasoning about evidence, psychology of cyber crime, anti-forensics, multimedia forensics, computer forensics, web browser forensics, embedded systems forensics, network forensics, cloud forensics, applications forensics, and fraud examination. It introduces known barriers and open challenges in the field. Prerequisite: Completion of Digital Forensics I (INFO 390) or special permission granted by the instructor. Restriction(s): Restricted to Graduate - Urbana-Champaign.
64187	Online	DFU	10:00AM -11:15AM	TR	n.a.	Bambenek, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 3 hours Section Title: Digital Forensics II Section Info: This is a course for graduate students and advanced undergraduates wanting to develop greater depth and breadth in digital forensics and assumes a basic knowledge of the material covered in Digital Forensics I. Topics include standards of evidence, investigatory procedures, forms of investigation, legal procedures, reasoning about evidence, psychology of cyber crime, anti-forensics, multimedia forensics, computer forensics, web browser forensics, embedded systems forensics, network forensics, cloud forensics, applications forensics, and fraud examination. It introduces known barriers and open challenges in the field. Prerequisite: Completion of Digital Forensics I (INFO 390) or special permission granted by the instructor. Restriction(s): Not intended for students with Freshman or Sophomore class standing. Restricted to Undergrad - Urbana-Champaign.
69282	Online	JGG	ARRANGED	n.a.	n.a.	Ginger, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: User Experience Design with AI Section Info: This studio-style course is intended for students who've been introduced to User Experience Design via INFO 333. Participants will dedicate an entire semester to take a deep dive into a single project - solo or in small teams - going through the entire design thinking process to thoroughly create and test a robust application like a learning environment, game, creation tool or data visualization dashboard. We will make considerable use of generative AI tools to create visual/art assets, code, interactive prototypes, synthetic users and more - students will have a chance to focus in on aspects of user experience design they find most interesting, such as user research, programming and data or interface and interactivity. Restriction(s): Not intended for Undergrad - Urbana-Champaign.
68730	Online	JGU	ARRANGED	n.a.	n.a.	Ginger, J	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 3 hours Section Title: User Experience Design with AI Section Info: This studio-style course is intended for students who've been introduced to User Experience Design via INFO 333. Participants will dedicate an entire semester to take a deep dive into a single project - solo or in small teams - going through the entire design thinking process to thoroughly create and test a robust application like a learning environment, game, creation tool or data visualization dashboard. We will make considerable use of generative AI tools to create visual/art assets, code, interactive prototypes, synthetic users and more - students will have a chance to focus in on aspects of user experience design they find most interesting, such as user research, programming and data or interface and interactivity. Restriction(s): Not intended for students with Freshman class standing. Restricted to Undergrad - Urbana-Champaign.
49579	Lecture-Discussion	MG1	10:00AM -12:50PM	W	384 Armory	Gupta, M	Part of Term: 1 Date Range: 01/20/26-05/06/26 Credit: 4 hours Section Title: Advanced A.I. Web-Apps Develop Section Info: Advanced AI Web-App Development extends Django-based web development into the creation of intelligent, production-ready applications. Students learn to integrate large language models, computer vision, and recommender systems into full-stack projects using Django REST framework, OpenAI and Hugging Face APIs, Matplotlib, and deployment platforms such as Render or PythonAnywhere with basic CI/CD workflows. By the end of the course, students will be able to build and deploy scalable AI-powered web applications including chatbots, content analyzers, and intelligent dashboards, using Python, HTML, CSS, and JavaScript. Additional Lab work is required outside of the class meeting time.