Spring 2024 Quantitative Methods: Social Sciences GR5063 section 001

DATA VISUALIZATION

Call Number 13158
Day & Time
Location
W 6:10pm-8:00pm
142 Uris Hall
Points 3
Grading Mode Standard
Approvals Required None
Instructor Thomas Brambor
Type LECTURE
Method of Instruction In-Person
Course Description

This course is designed to the interdisciplinary and emerging field of data science. It will cover techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science to enhance the understanding of complex data. Students will be required to complete several scripting, data analysis and visualization design assignments as well as a final project. Topics include: data and image models, social and interactive visualizations, principles and designs, perception and attention, mapping and cartography, network visualization. Computational methods are emphasized and students will be expected to program in R, Javascript, D3, HTML and CSS and will be expected to submit and peer review work through Github. Students will be expected to write up the results of the project in the form of a conference paper submission.

Web Site Vergil
Department Quantitative Methods/Social Sciences
Enrollment 58 students (90 max) as of 5:05PM Wednesday, July 24, 2024
Subject Quantitative Methods: Social Sciences
Number GR5063
Section 001
Division Graduate School of Arts and Sciences
Note PRIORITY QMSS STUDENTS
Section key 20241QMSS5063G001