CS 498

Spring 2023 All Classes

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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.

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CS 498 class schedule data for spring 2023
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
61928	Online	CC3	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/17/23-05/03/23 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 Computer Science or Bioinformatics major(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	CCG	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/17/23-05/03/23 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: 01/17/23-05/03/23 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.
65868	Online	DSO	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Cloud Computing Applications Section Info: This section is only for students that are in the Computer Science Online MCS/MCS-DS Program offered on the Coursera platform. Additional ProctorU fees may apply. Restriction(s): Restricted to MCS:Computer Sci Online -UIUC. Not intended for First Time Freshman students.
50210	Lecture	MP3	11:00AM -12:15PM	TR	Siebel Center for Comp Sci	Wang, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 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 hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. Our goal is to attract more senior undergrads and offer a lecture-assignment-based course. 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.
61714	Lecture	MPG	11:00AM -12:15PM	TR	Siebel Center for Comp Sci	Wang, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 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 hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. Our goal is to attract more senior undergrads and offer a lecture-assignment-based course. 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.
40801	Lecture	MPU	11:00AM -12:15PM	TR	Siebel Center for Comp Sci	Wang, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 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 hands-on programming assignments. Prerequisite: CS225. One of CS440, CS446, ECE484, or equivalent, is recommended. Our goal is to attract more senior undergrads and offer a lecture-assignment-based course. Restriction(s): Restricted to Undergrad - Urbana-Champaign.
40022	Lecture	SH3	3:30PM -4:45PM	TR	Siebel Center for Comp Sci	Har-Peled, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 3 hours Section Title: Discrete & Computat. Geometry Section Info: The course will cover basic results in discrete and computational geometry, including convex-hulls, arrangements, Voronoi diagrams, triangulations, sweeping, levels, and related topics. This is a 3 credit Graduate section. 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.
41438	Lecture	SHG	3:30PM -4:45PM	TR	Siebel Center for Comp Sci	Har-Peled, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 4 hours Section Title: Discrete & Computat. Geometry Section Info: The course will cover basic results in discrete and computational geometry, including convex-hulls, arrangements, Voronoi diagrams, triangulations, sweeping, levels, and related topics. For up-to-date information about CS course restrictions, please see the following link: http://go.cs.illinois.edu/csregister Restriction(s): Restricted to students in the Computer Science department. Restricted to Bioinformatics or Computer Science major(s). Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.
39661	Lecture	SHU	3:30PM -4:45PM	TR	Siebel Center for Comp Sci	Har-Peled, S	Part of Term: 1 Date Range: 01/17/23-05/03/23 Credit: 3 hours Section Title: Discrete & Computat. Geometry Section Info: The course will cover basic results in discrete and computational geometry, including convex-hulls, arrangements, Voronoi diagrams, triangulations, sweeping, levels, and related topics. 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.