CS 498

Fall 2025 All Classes

All Classes

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 1 TO 4 hours.

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

1 to 4 undergraduate hours. 1 to 4 graduate hours. May be repeated in the same or separate terms if topics vary.

My Favorites

My Schedule

Section Status updates every 10 minutes.

CS 498 class schedule data for fall 2025
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
54283	Laboratory-Discussion Online	CSP CSP	3:30PM -4:45PM ARRANGED	F n.a.	Location Pending n.a.	Mitra, S Mitra, S	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Principles of Safe Autonomy Section Info: This section is intended for Chicago City Scholars only. There may be online and in person components. You are responsible for completing homeworks, quizzes, and any in person activities that are required. Please speak with your professor regarding expectations. Weekly in-person meeting in Classroom A at 200 S. Wacker Dr., Chicago Restriction(s): Restricted to O/C Engineering City Scholars students.
61482	Lecture	GC3	3:30PM -4:45PM	WF	0216 Siebel Center for Comp Sci	Chowdhary, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Mobile Robotics for CS Section Info: Principles of Mobile Robotics for Computer Scientists This course will introduce CS students to foundational principles of mobile robotics. Topics covered will be dynamic modeling, coordinate transformations, principles of operations of different sensors, sensor fusion algorithms including Kalman filters, introduction to Simultaneous Localization and Mapping, and introduction to feedback control for robotics. Prerequisite of CS 225 suggested. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
47171	Lecture	GCG	3:30PM -4:45PM	WF	0216 Siebel Center for Comp Sci	Chowdhary, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Mobile Robotics for CS Section Info: Principles of Mobile Robotics for Computer Scientists This course will introduce CS students to foundational principles of mobile robotics. Topics covered will be dynamic modeling, coordinate transformations, principles of operations of different sensors, sensor fusion algorithms including Kalman filters, introduction to Simultaneous Localization and Mapping, and introduction to feedback control for robotics. Prerequisite of CS 225 suggested. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
40094	Lecture	GCU	3:30PM -4:45PM	WF	0216 Siebel Center for Comp Sci	Chowdhary, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Mobile Robotics for CS Section Info: Principles of Mobile Robotics for Computer Scientists This course will introduce CS students to foundational principles of mobile robotics. Topics covered will be dynamic modeling, coordinate transformations, principles of operations of different sensors, sensor fusion algorithms including Kalman filters, introduction to Simultaneous Localization and Mapping, and introduction to feedback control for robotics. Prerequisite of CS 225 suggested. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign.
65109	Lecture	LS3	11:00AM -12:15PM	WF	1310 Digital Computer Laboratory	Lai, F	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Machine Learning System Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS:Computer Sci Online -UIUC, MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC.
70372	Lecture	LSG	11:00AM -12:15PM	WF	1310 Digital Computer Laboratory	Lai, F	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Machine Learning System Section Info: For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS:Computer Sci Online -UIUC, MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC.
70363	Lecture	LSU	11:00AM -12:15PM	WF	1310 Digital Computer Laboratory	Lai, F	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Machine Learning System Section Info: For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign.
54284	Laboratory-Discussion Online	MC4 MC4	3:30PM -4:45PM ARRANGED	F n.a.	Location Pending n.a.	Mitra, S Mitra, S	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Principles of Safe Autonomy Section Info: This section is intended for Chicago MCS only. There may be online and in person components. You are responsible for completing homeworks, quizzes, and any in person activities that are required. Please speak with your professor regarding expectations. Weekly in-person meeting in Classroom A at 200 S. Wacker Dr., Chicago Restriction(s): Restricted to MCS: Computer Sci OFF - UIUC.
49838	Lecture	RC1	2:00PM -3:15PM	TR	114 Transportation Building	Cunningham, R	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Law &Policy Issues in CS Section Info: Law and Policy Issues In Computer Science This course will explore the intersection of public policy and computing technology. After a basic overview of the US legal system and administrative state, the course will examine the ways computing technology is regulated in areas such as privacy, crime, intellectual property, commerce, and national security. Students in the course will complete a series of technical projects related to legal issues, including scrutinizing digital rights management technology, evaluating digital forensics reports and expert testimony, and critiquing software patents. Students will also be expected to regularly read and respond to excerpts from relevant legal cases. Topics covered in the course will include Fourth and Fifth Amendment protections in cyberspace, network neutrality, antitrust, Section 230, cryptocurrency and digital property, espionage, and cyberwarfare. Prerequisite: CS 225 For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign.
31535	Lecture	RCG	2:00PM -3:15PM	TR	114 Transportation Building	Cunningham, R	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Law &Policy Issues in CS Section Info: For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Law and Policy Issues In Computer Science This course will explore the intersection of public policy and computing technology. After a basic overview of the US legal system and administrative state, the course will examine the ways computing technology is regulated in areas such as privacy, crime, intellectual property, commerce, and national security. Students in the course will complete a series of technical projects related to legal issues, including scrutinizing digital rights management technology, evaluating digital forensics reports and expert testimony, and critiquing software patents. Students will also be expected to regularly read and respond to excerpts from relevant legal cases. Topics covered in the course will include Fourth and Fifth Amendment protections in cyberspace, network neutrality, antitrust, Section 230, cryptocurrency and digital property, espionage, and cyberwarfare. Prerequisite of CS 225. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
61940	Lecture	RCU	2:00PM -3:15PM	TR	114 Transportation Building	Cunningham, R	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Law &Policy Issues in CS Section Info: Law and Policy Issues In Computer Science This course will explore the intersection of public policy and computing technology. After a basic overview of the US legal system and administrative state, the course will examine the ways computing technology is regulated in areas such as privacy, crime, intellectual property, commerce, and national security. Students in the course will complete a series of technical projects related to legal issues, including scrutinizing digital rights management technology, evaluating digital forensics reports and expert testimony, and critiquing software patents. Students will also be expected to regularly read and respond to excerpts from relevant legal cases. Topics covered in the course will include Fourth and Fifth Amendment protections in cyberspace, network neutrality, antitrust, Section 230, cryptocurrency and digital property, espionage, and cyberwarfare. Prerequisite: CS 225 For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign.
43500	Lecture	RM3	9:30AM -10:45AM	MW	2039 Campus Instructional Facility	Yuan, W	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Robot Manipulation Section Info: Robot manipulation refers to the ability of a robot to physically interact with objects in its environment using arms, hands, or other end-effectors. It is essential for applications in manufacturing, logistics, healthcare, service robotics, and even household assistance. This class covers the basic knowledge of robot manipulation, including robot modeling, kinematics, contact mechanics, perception, simulation, planning and control, and the use of learning technologies for manipulation. The class will cover both the theoretical and practical aspects of manipulation. It will consist of lectures, homework assignments, and simulation-based programming assignments. Programming will be performed using the Python language. <br/> For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS:Computer Sci Online -UIUC, MCS: Computer Sci OFF - UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC.
67901	Lecture	RMG	9:30AM -10:45AM	MW	2039 Campus Instructional Facility	Yuan, W	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Robot Manipulation Section Info: Robot manipulation refers to the ability of a robot to physically interact with objects in its environment using arms, hands, or other end-effectors. It is essential for applications in manufacturing, logistics, healthcare, service robotics, and even household assistance. This class covers the basic knowledge of robot manipulation, including robot modeling, kinematics, contact mechanics, perception, simulation, planning and control, and the use of learning technologies for manipulation. The class will cover both the theoretical and practical aspects of manipulation. It will consist of lectures, homework assignments, and simulation-based programming assignments. Programming will be performed using the Python language. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS: Computer Sci OFF - UIUC.
67900	Lecture	RMU	9:30AM -10:45AM	MW	2039 Campus Instructional Facility	Yuan, W	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Robot Manipulation Section Info: Robot manipulation refers to the ability of a robot to physically interact with objects in its environment using arms, hands, or other end-effectors. It is essential for applications in manufacturing, logistics, healthcare, service robotics, and even household assistance. This class covers the basic knowledge of robot manipulation, including robot modeling, kinematics, contact mechanics, perception, simulation, planning and control, and the use of learning technologies for manipulation. The class will cover both the theoretical and practical aspects of manipulation. It will consist of lectures, homework assignments, and simulation-based programming assignments. Programming will be performed using the Python language. <br/> For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to Undergrad - Urbana-Champaign.
43753	Lecture	SE3	2:00PM -3:15PM	TR	1038 Campus Instructional Facility	Herman, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Designing Software for Edu Section Info: In this course, students will gain hands-on experience developing educational software. Students will develop an HTML element that supports randomly generating and automatically grading questions for the PrairieLearn platform (e.g., randomizable circuit generator). Students will learn how to navigate a large code base, apply principles for software engineering, and practices for managing a large coding project. Students will learn how to conduct and analyze user interviews to determine a product specification and test cases for their code. Finally, students will learn about educational theory to help them identify effective uses of educational technology. Successful student projects may be used by instructors in future courses. Restriction(s): Restricted to Computer Science or Computer Science&Crop Sciences or Computer Science & Advertising or Computer Sci & Animal Sci major(s). Restricted to Undergrad - Urbana-Champaign. Not intended for First Time Freshman students.
52640	Lecture	SEG	2:00PM -3:15PM	TR	1038 Campus Instructional Facility	Herman, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 4 hours Section Title: Designing Software for Edu Section Info: In this course, students will gain hands-on experience developing educational software. Students will develop an HTML element that supports randomly generating and automatically grading questions for the PrairieLearn platform (e.g., randomizable circuit generator). Students will learn how to navigate a large code base, apply principles for software engineering, and practices for managing a large coding project. Students will learn how to conduct and analyze user interviews to determine a product specification and test cases for their code. Finally, students will learn about educational theory to help them identify effective uses of educational technology. Successful student projects may be used by instructors in future courses. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for MCS:Computer Sci Online -UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
43670	Lecture	SEU	2:00PM -3:15PM	TR	1038 Campus Instructional Facility	Herman, G	Part of Term: 1 Date Range: 08/25/25-12/10/25 Credit: 3 hours Section Title: Designing Software for Edu Section Info: In this course, students will gain hands-on experience developing educational software. Students will develop an HTML element that supports randomly generating and automatically grading questions for the PrairieLearn platform (e.g., randomizable circuit generator). Students will learn how to navigate a large code base, apply principles for software engineering, and practices for managing a large coding project. Students will learn how to conduct and analyze user interviews to determine a product specification and test cases for their code. Finally, students will learn about educational theory to help them identify effective uses of educational technology. Successful student projects may be used by instructors in future courses. Restriction(s): Restricted to Undergrad - Urbana-Champaign. Not intended for First Time Freshman students.