EntSciLab | Courses
Welcome to the Computational Enterprise Science Lab Website!
Rahul C. Basole, Professor, Director, Georgia Institute of Technology, Stanford University, Tennenbaum Institute, College of Computing, School of Interactive Computing, PhD, Visualization, Analytics, Ecosystem
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Courses

Researchers in the Computational Enterprise Science Lab teach a wide range of undergraduate, graduate, professional, executive, and online courses covering methods (e.g. analytics, visualization, decision science, systems thinking), enterprise functions (e.g. strategy, innovation, supply chain, marketing), and industry domains (e.g. healthcare, manufacturing, energy, media). Many courses are cross-listed in the College of Computing, Scheller College of Business, and Stewart School of Industrial & Systems Engineering at Georgia Tech.

CS4460 | Information Visualization (Undergraduate)

Information visualization (infovis) is a rich research area that focuses on the design and use of visual representations and interaction techniques to help people understand, explore, and analyze data. While fields such as scientific visualization involve the presentation of data that has some physical or geometric correspondence, infovis focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.

The course follows a lecture/seminar style with discussions, guest speakers from industry and academia, viewing of best-practice videos, and hands-on experience with infovis design and development.

 

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CS4803 | Sports Analytics

The class will discuss the theory, development, and application of analytics in sports. Students will learn about the application of analytics in sports for purposes of in-game strategy, player performance, team management, sports operations, and fantasy competitions, among many other topics. The class will consist of lectures, guest speakers from the sports industry and academia, and culminate with a group project.

CS7450 | Information Visualization (Graduate)

Information visualization (infovis) is a rich research area that focuses on the design and use of visual representations and interaction techniques to help people understand, explore, and analyze data. While fields such as scientific visualization involve the presentation of data that has some physical or geometric correspondence, infovis focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.

The course follows a lecture/seminar style with discussions, guest speakers from industry and academia, viewing of best-practice videos, and hands-on experience with infovis design and development.

CS/MGT8803 | Data Visualization
CS8903 | Readings in Information Visualization

Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima.

OMSCS | Data Visualization for Health Informatics (forthcoming)

Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima.

Coursera | Healthcare Data Visualization (forthcoming)

Claritas est etiam processus dynamicus, qui sequitur mutationem consuetudium lectorum. Mirum est notare quam littera gothica, quam nunc putamus parum claram, anteposuerit litterarum formas humanitatis per seacula quarta decima et quinta decima.

Special Topics / Independent Study