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Data Interaction and Visual Analytics


This class is a foundational class for the newly created Professional Master in Data Science within the Computer Science Department


Visual Analytics History[Week 1],

Building blocks and Inherent Scientific Challenges [Week 2]

Data Management for Visual Analytics [Week 3]

Data with Spatial and Temporal Components [Week 4 and 5]

Scalable and Compos sable Visualizations [Week 6]

Infra Structural and Language Issues (Hadoop, MapReduce, R, Python)[Week 7, 8, 9 ]

Evaluation Methodologies and Challenges [Week 10],

Data Ethics [Week 11]

Privacy and Security [Week 12]

Data Sharing and Data Provenance [Week 13]

Gala Presentation[Week 14].

Course Material: 

• Reference Materials


                 The electronic version of this book is available from the Eurographics Digital Library at

• Selected papers from the literature on

         – Algorithmic Analytics, Visualization and Computer Human Interaction.

         – Data Ethics, Privacy, Security, Sharing, Provenance

Expected Work: 

Students in this class will become proficient with the major techniques and systems for algorithmic data analysis, exploration, visualization, interaction and summarization. A competitive group project will be completed that incorporates all the major facets of computer-human interface development


Objective: Expose and train students in all the facets of computer-user interface development

Guiding evaluation principles will be: the “value” of the extracted information from a variety of data sets at different scales, the methods and models used, interface interactivity, and the final application usefulness. 


a. Bi-Weekly Homeworks 15%

b. Midterm Exam 15%

c. Mid Project Draft 20%

d. Final Project Demo 50% –  Evaluated by a Faculty-Industry Panel

Teaching Professors Names: 
James Abello