CS 498

Summer 2020 Part of Term SF

Part of Term SF
May 18-Aug 6

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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 summer 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	39213	Online	DDV	ARRANGED	n.a.	n.a.	Hart, J	Part of Term: SF Date Range: 05/18/20-08/06/20 Credit: 4 hours Section Title: Data Visualiztion Section Info: Course description: Students will learn how to make more effective visualizations of data, to better gain insight into the data and to better communicate that insight to others through interactive web pages. Topics include data warehouses, human perception and cognition, computer graphics, interactive systems and design principles. Covers simple charting tools, including which to use based on data type and user understanding, and advanced charts such as parallel coordinates, stacked graphs and graph drawing/layout. Shows how data visualization tools like Tableau work so students can create effective visualizations from databases even without it. This section is for students that are in the Computer Science Online MCS (Coursera) Program. NON-DEGREE SEEKING STUDENTS MAY ENROLL ON A SPACE-AVAILABLE BASIS WITH THE CONSENT OF THE DEPARTMENT. TO REQUEST ENROLLMENT, PLEASE COMPLETE THE “NON-DEGREE ENROLLMENT REQUEST FORM HERE: https://illinois.edu/fb/sec/9478165” Restriction(s): Restricted to Graduate - Urbana-Champaign. Restricted to MCS:Computer Sci Online -UIUC or NDEG:Computer Science Onl-UIUC.
	40004	Online Lecture	DV	ARRANGED	n.a.	n.a.	Hart, J	Part of Term: SF Date Range: 05/18/20-08/06/20 Credit: 4 hours Section Title: Data Visualiztion Section Info: Course description: Students will learn how to make more effective visualizations of data, to better gain insight into the data and to better communicate that insight to others through interactive web pages. Topics include data warehouses, human perception and cognition, computer graphics, interactive systems and design principles. Covers simple charting tools, including which to use based on data type and user understanding, and advanced charts such as parallel coordinates, stacked graphs and graph drawing/layout. Shows how data visualization tools like Tableau work so students can create effective visualizations from databases even without it. Additional fees apply, contact the Department for details/questions Al major restrictions will be removed May 4. Restriction(s): Not intended for First Time Freshman students.