CS 498

Spring 2022 All Classes

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Credit: 0 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.

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CS 498 class schedule data for spring 2022
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61924	Lecture	AB3	3:30PM -4:45PM	TR	4039 Campus Instructional Facility	Alawini, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Data Management in the Cloud 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 First Time Freshman students.
69515	Lecture	AB4	3:30PM -4:45PM	TR	4039 Campus Instructional Facility	Alawini, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Data Management in the Cloud 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 First Time Freshman students.
69512	Lecture	ABU	3:30PM -4:45PM	TR	4039 Campus Instructional Facility	Alawini, A	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Data Management in the Cloud 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. Not intended for First Time Freshman students.
31601	Lecture-Discussion	CA3	12:30PM -1:45PM	WF	0216 Siebel Center for Comp Sci	Sundaram, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Computational Advertising Section Info: This class will provide students with a thorough understanding of the technologies including web-search, auctions, behavioral targeting, mechanisms for viral marketing, that underpin the display of advertisements on a variety of locations (e.g., ads on search engines; display ads). The students shall also learn about emerging areas in computational advertising including location-based adverting and algorithmic synthesis of personalized advertisements. Discussion around privacy will be a significant focus of the class. The prerequisites are: CS 225, CS 173, one of (MATH 225 or MATH 257 or MATH 415 or MATH 416 or ASRM 406), CS 361 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 First Time Freshman students.
47232	Lecture-Discussion	CA4	12:30PM -1:45PM	WF	0216 Siebel Center for Comp Sci	Sundaram, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Computational Advertising Section Info: This class will provide students with a thorough understanding of the technologies including web-search, auctions, behavioral targeting, mechanisms for viral marketing, that underpin the display of advertisements on a variety of locations (e.g., ads on search engines; display ads). The students shall also learn about emerging areas in computational advertising including location-based adverting and algorithmic synthesis of personalized advertisements. Discussion around privacy will be a significant focus of the class. The prerequisites are: CS 225, CS 173, one of (MATH 225 or MATH 257 or MATH 415 or MATH 416 or ASRM 406), CS 361 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 First Time Freshman students.
60221	Lecture-Discussion	CAU	12:30PM -1:45PM	WF	0216 Siebel Center for Comp Sci	Sundaram, H	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Computational Advertising Section Info: This class will provide students with a thorough understanding of the technologies including web-search, auctions, behavioral targeting, mechanisms for viral marketing, that underpin the display of advertisements on a variety of locations (e.g., ads on search engines; display ads). The students shall also learn about emerging areas in computational advertising including location-based adverting and algorithmic synthesis of personalized advertisements. Discussion around privacy will be a significant focus of the class. The prerequisites are: CS 225, CS 173, one of (MATH 225 or MATH 257 or MATH 415 or MATH 416 or ASRM 406), CS 361 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. Not intended for First Time Freshman students.
61928	Online	CC3	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Cloud Computing Applications Section Info: This section is for "on campus" students. This course will be taught on the Coursera platform. Students taking CS courses on the Coursera platform for the first time must take additional steps to correctly setup their Coursera account and complete a brief onboarding course to gain access to the course. Students who enroll in this course must read “Instructions to access CS courses delivered on Coursera platform” available at http://go.cs.illinois.edu/CSregister, failure to follow these instructions will result in late course access. 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 or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
59276	Online	CC4	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Cloud Computing Applications Section Info: This section is for "on campus" students. This course will be taught on the Coursera platform. Students taking CS courses on the Coursera platform for the first time must take additional steps to correctly setup their Coursera account and complete a brief onboarding course to gain access to the course. Students who enroll in this course must read “Instructions to access CS courses delivered on Coursera platform” available at http://go.cs.illinois.edu/CSregister, failure to follow these instructions will result in late course access. 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 or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
69511	Online	CCU	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Cloud Computing Applications Section Info: This section is for "on campus" students. This course will be taught on the Coursera platform. Students taking CS courses on the Coursera platform for the first time must take additional steps to correctly setup their Coursera account and complete a brief onboarding course to gain access to the course. Students who enroll in this course must read “Instructions to access CS courses delivered on Coursera platform” available at http://go.cs.illinois.edu/CSregister, failure to follow these instructions will result in late course access. 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. Not intended for First Time Freshman students.
65868	Online	DSO	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Cloud Computing Applications Section Info: This course is only for students that are in the Computer Science MCS-DS Program. Additional ProctorU fees may apply. Restriction(s): Restricted to MCS:Computer Sci Online -UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC.
61925	Online	GD3	12:30PM -1:45PM	TR	n.a.	Shaffer, E	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Game Development Section Info: Entirely online with some mix of asynchronous and synchronous components that may vary over the semester and based on needs of students and instructor. This course is an introduction to the technical aspects of modern video game development. Students will learn the basics of game design and the capabilities of the Unreal game engine. The focus of the course will be a team project in which students design and implement a game. Additional topics will include modern computer graphics systems for real-time rendering, audio, game AI, and physics simulation. Prior programming experience is strongly 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 First Time Freshman students.
61720	Online	GD4	12:30PM -1:45PM	TR	n.a.	Shaffer, E	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Game Development Section Info: Entirely online with some mix of asynchronous and synchronous components that may vary over the semester and based on needs of students and instructor. This course is an introduction to the technical aspects of modern video game development. Students will learn the basics of game design and the capabilities of the Unreal game engine. The focus of the course will be a team project in which students design and implement a game. Additional topics will include modern computer graphics systems for real-time rendering, audio, game AI, and physics simulation. Prior programming experience is strongly 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 Online -UIUC, MCS:Computer Sci Online -UIUC, or NDEG:Computer Science Onl-UIUC. Not intended for First Time Freshman students.
61721	Online	GDU	12:30PM -1:45PM	TR	n.a.	Shaffer, E	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Game Development Section Info: Entirely online with some mix of asynchronous and synchronous components that may vary over the semester and based on needs of students and instructor. This course is an introduction to the technical aspects of modern video game development. Students will learn the basics of game design and the capabilities of the Unreal game engine. The focus of the course will be a team project in which students design and implement a game. Additional topics will include modern computer graphics systems for real-time rendering, audio, game AI, and physics simulation. Prior programming experience is strongly suggested. Restriction(s): Restricted to Undergrad - Urbana-Champaign. Not intended for First Time Freshman students.
61921	Lecture-Discussion	IR3	9:30AM -10:45AM	MW	0216 Siebel Center for Comp Sci	Hauser, K	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: AI for Robot Manipulation Section Info: Theoretical foundations of motion planning and perception algorithms, and their implementation in modern robots. Topics include rigid transformations, forward and inverse kinematics, configuration space, motion planning, and task planning. State estimation, Kalman filters and their variants, visual sensing, and 3D mapping. Laboratory assignments will lead to implementation of intelligent autonomous behavior on a hardware platform. 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 First Time Freshman students.
55129	Lecture-Discussion	IR4	9:30AM -10:45AM	MW	0216 Siebel Center for Comp Sci	Hauser, K	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: AI for Robot Manipulation Section Info: Theoretical foundations of motion planning and perception algorithms, and their implementation in modern robots. Topics include rigid transformations, forward and inverse kinematics, configuration space, motion planning, and task planning. State estimation, Kalman filters and their variants, visual sensing, and 3D mapping. Laboratory assignments will lead to implementation of intelligent autonomous behavior on a hardware platform. 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 First Time Freshman students.
55128	Lecture-Discussion	IRU	9:30AM -10:45AM	MW	0216 Siebel Center for Comp Sci	Hauser, K	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: AI for Robot Manipulation Section Info: Theoretical foundations of motion planning and perception algorithms, and their implementation in modern robots. Topics include rigid transformations, forward and inverse kinematics, configuration space, motion planning, and task planning. State estimation, Kalman filters and their variants, visual sensing, and 3D mapping. Laboratory assignments will lead to implementation of intelligent autonomous behavior on a hardware platform. 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. Not intended for First Time Freshman students.
61715	Lecture-Discussion	MM3	11:00AM -11:50AM	MWF	1109 Siebel Center for Comp Sci	Morales Aguirre, M	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Robotic Systems Section Info: This course will focus on the technical challenges of the implementation of algorithms for perception, localization, motion planning and control and their integration into a multi-agent robotic system that will address a specific robotic challenge from a competition (such as the RoboCup) or the industry. 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 First Time Freshman students.
46400	Lecture-Discussion	MM4	11:00AM -11:50AM	MWF	1109 Siebel Center for Comp Sci	Morales Aguirre, M	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Robotic Systems Section Info: This course will focus on the technical challenges of the implementation of algorithms for perception, localization, motion planning and control and their integration into a multi-agent robotic system that will address a specific robotic challenge from a competition (such as the RoboCup) or the industry. 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 First Time Freshman students.
69725	Lecture-Discussion	MMU	11:00AM -11:50AM	MWF	1109 Siebel Center for Comp Sci	Morales Aguirre, M	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Robotic Systems Section Info: This course will focus on the technical challenges of the implementation of algorithms for perception, localization, motion planning and control and their integration into a multi-agent robotic system that will address a specific robotic challenge from a competition (such as the RoboCup) or the industry. 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. Not intended for First Time Freshman students.
61926	Lecture	SW3	12:30PM -1:45PM	WF	1310 Digital Computer Laboratory	Wang, S	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Intro to Machine Perception Section Info: Machine perception is the ability of an embodied device to perceive, comprehend, and reason about the surrounding environment. This course will introduce students to foundational principles of geometric and statistical learning approaches for machine perception. Topics include sensing techniques (vision, motion, audio, touch), probabilistic state estimation, localization and mapping, 3D reconstruction, object detection, and scene understanding algorithms. Students will implement, debug and test machine perception algorithms on different sensory data in Python through labs and hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. 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 First Time Freshman students.
65685	Lecture	SW4	12:30PM -1:45PM	WF	1310 Digital Computer Laboratory	Wang, S	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Intro to Machine Perception Section Info: Machine perception is the ability of an embodied device to perceive, comprehend, and reason about the surrounding environment. This course will introduce students to foundational principles of geometric and statistical learning approaches for machine perception. Topics include sensing techniques (vision, motion, audio, touch), probabilistic state estimation, localization and mapping, 3D reconstruction, object detection, and scene understanding algorithms. Students will implement, debug and test machine perception algorithms on different sensory data in Python through labs and hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. 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 First Time Freshman students.
66289	Lecture	SWU	12:30PM -1:45PM	WF	1310 Digital Computer Laboratory	Wang, S	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Intro to Machine Perception Section Info: Machine perception is the ability of an embodied device to perceive, comprehend, and reason about the surrounding environment. This course will introduce students to foundational principles of geometric and statistical learning approaches for machine perception. Topics include sensing techniques (vision, motion, audio, touch), probabilistic state estimation, localization and mapping, 3D reconstruction, object detection, and scene understanding algorithms. Students will implement, debug and test machine perception algorithms on different sensory data in Python through labs and hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. 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. Not intended for First Time Freshman students.
61927	Lecture-Discussion	TC3	11:00AM -12:15PM	WF	1131 Siebel Center for Comp Sci	Erickson, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Computational Geometry Section Info: Design and analysis of efficient algorithms for fundamental geometric problems, including convex hulls, Voronoi diagrams, geometric range searching, line segment intersection, polygon triangulation, low-dimensional linear programming, and visibility. Applications of geometric algorithms in computer graphics, mesh generation, geographic information systems, VLSI design, and other areas of computing. A solid background in algorithms (at the level of CS 374) is assumed. 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 First Time Freshman students.
67785	Lecture-Discussion	TC4	11:00AM -12:15PM	WF	1131 Siebel Center for Comp Sci	Erickson, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 4 hours Section Title: Computational Geometry Section Info: Design and analysis of efficient algorithms for fundamental geometric problems, including convex hulls, Voronoi diagrams, geometric range searching, line segment intersection, polygon triangulation, low-dimensional linear programming, and visibility. Applications of geometric algorithms in computer graphics, mesh generation, geographic information systems, VLSI design, and other areas of computing. A solid background in algorithms (at the level of CS 374) is assumed. 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 First Time Freshman students.
67775	Lecture-Discussion	TCU	11:00AM -12:15PM	WF	1131 Siebel Center for Comp Sci	Erickson, J	Part of Term: 1 Date Range: 01/18/22-05/04/22 Credit: 3 hours Section Title: Computational Geometry Section Info: Design and analysis of efficient algorithms for fundamental geometric problems, including convex hulls, Voronoi diagrams, geometric range searching, line segment intersection, polygon triangulation, low-dimensional linear programming, and visibility. Applications of geometric algorithms in computer graphics, mesh generation, geographic information systems, VLSI design, and other areas of computing. A solid background in algorithms (at the level of CS 374) is assumed. 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. Not intended for First Time Freshman students.