CS 498

Spring 2024 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 2024
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: 01/16/24-05/01/24 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: 01/16/24-05/01/24 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 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.
69511	Online	CCU	ARRANGED	n.a.	n.a.	Farivar, R	Part of Term: 1 Date Range: 01/16/24-05/01/24 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.
47232	Lecture-Discussion	DD3	9:00AM -9:50AM	MWF	3101 Sidney Lu Mech Engr Bldg	Dalpiaz, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: End-to-End Data Science Section Info: Broad coverage of the principles, tools, and products of data science. Throughout the course, students will build data products such as models, packages, dashboards, and APIs using real-world data for real-world applications. Emphasis will be given to open-source tools that exist in or connect with the Jupyter languages (Python, R, and Julia). Their applications, interactions, and tradeoffs will be discussed. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.
60221	Lecture-Discussion	DDG	9:00AM -9:50AM	MWF	3101 Sidney Lu Mech Engr Bldg	Dalpiaz, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: End-to-End Data Science Section Info: Broad coverage of the principles, tools, and products of data science. Throughout the course, students will build data products such as models, packages, dashboards, and APIs using real-world data for real-world applications. Emphasis will be given to open-source tools that exist in or connect with the Jupyter languages (Python, R, and Julia). Their applications, interactions, and tradeoffs will be discussed. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.
31601	Lecture-Discussion	DDU	9:00AM -9:50AM	MWF	3101 Sidney Lu Mech Engr Bldg	Dalpiaz, D	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: End-to-End Data Science Section Info: Broad coverage of the principles, tools, and products of data science. Throughout the course, students will build data products such as models, packages, dashboards, and APIs using real-world data for real-world applications. Emphasis will be given to open-source tools that exist in or connect with the Jupyter languages (Python, R, and Julia). Their applications, interactions, and tradeoffs will be discussed. 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: 01/16/24-05/01/24 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.
61697	Lecture-Discussion	SC3	3:30PM -4:45PM	TR	1302 Siebel Center for Comp Sci	Chandrasekharan, E Saha, K	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: Computational Social Science Section Info: a. In this course, we will explore how social behaviors can be studied using large-scale datasets and computational methods. Focusing on a combination of sociological foundations and recent advances in NLP, human-centered AI, and HCI, we will learn to understand and analyze online social phenomena. Through this course, students will read and critique high-impact research papers, lead and engage in class discussions, provide and receive constructive peer-feedback, implement new research methods, and execute a new research project for their final paper. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.
69420	Lecture-Discussion	SCG	3:30PM -4:45PM	TR	1302 Siebel Center for Comp Sci	Chandrasekharan, E Saha, K	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 4 hours Section Title: Computational Social Science Section Info: a. In this course, we will explore how social behaviors can be studied using large-scale datasets and computational methods. Focusing on a combination of sociological foundations and recent advances in NLP, human-centered AI, and HCI, we will learn to understand and analyze online social phenomena. Through this course, students will read and critique high-impact research papers, lead and engage in class discussions, provide and receive constructive peer-feedback, implement new research methods, and execute a new research project for their final paper. Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for First Time Freshman students.
69419	Lecture-Discussion	SCU	3:30PM -4:45PM	TR	1302 Siebel Center for Comp Sci	Chandrasekharan, E Saha, K	Part of Term: 1 Date Range: 01/16/24-05/01/24 Credit: 3 hours Section Title: Computational Social Science Section Info: a. In this course, we will explore how social behaviors can be studied using large-scale datasets and computational methods. Focusing on a combination of sociological foundations and recent advances in NLP, human-centered AI, and HCI, we will learn to understand and analyze online social phenomena. Through this course, students will read and critique high-impact research papers, lead and engage in class discussions, provide and receive constructive peer-feedback, implement new research methods, and execute a new research project for their final paper. Restriction(s): Restricted to Undergrad - Urbana-Champaign.