John C. Hart

John C. Hart is an Professor in the Department of Computer Science at the University of Illinois, Urbana-Champaign where he studies computer graphics and computational topology. Prof. Hart is a past Editor-in-Chief of ACM Transactions on Graphics. He is a co-author of "Real-Time Shading" and a contributing author for "Texturing and Modeling: A Procedural Approach." He served from 1994-9 on the ACM SIGGRAPH Executive Committee, and is an Executive Producer of the documentary "The Story of Computer Graphics." Prof. Hart received his B.S. from Aurora University in 1987, and an M.S. (1989) and Ph.D. (1991) from the Electronic Visualization Laboratory at the University of Illinois at Chicago. He interned with Alan Norton at the IBM T.J. Watson Research Center in 1989 and with Pixel Machines at AT&T Bell Labs in 1990. He was a Postdoctoral Research Associate at the EVL and NCSA until 1992, and an Assistant then Associate Professor in the School of EECS at Washington State University until 2000.
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Data Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Data Visualization (Coursera)

Embark on a comprehensive journey through the world of Data Visualization with our expert-led course. From foundational concepts in data mining to advanced pattern discovery techniques, this course equips you with essential tools and knowledge to unlock insights from your data. Whether you're new to the field or looking to refine your skills, this course offers practical applications and engaging examples that will transform how you visualize and interpret complex datasets.

Jun 22nd 2026
4 Weeks
Master of Computer Science - Data Science Applicant Community (Coursera) Coursera
University of Illinois at Urbana-Champaign

Master of Computer Science - Data Science Applicant Community (Coursera)

Embark on an affordable journey towards one of today's most sought-after careers with the University of Illinois' Master of Computer Science - Data Science program. For a tuition fee under $20K, this course offers a gateway to mastering core areas such as data visualization, machine learning, data mining, and cloud computing, alongside valuable skills in statistics and information science.

Jun 28th 2018
1 Week
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