- Pre CS-182
- Pre CS-385
- Pre CS-570
- Pre CS-590
Introduction
Visual analytics is the combination of data filtering, statistical algorithms, and visual presentation in an interactive visual interface. This course provides an introduction to both information and scientific visualization. Topics include: perception (color, space/order, and depth/occlusion), interaction (navigation, zooming, focus, and context), design studies and evaluation, and data representation (graphs, trees, volumes, and time series). Applications include: software, scientific, financial, and cartographic visualization. Junior, senior, or graduate standing is required.
Teacher
David Pfeffer
ADJUNCT PROFESSOR
Email: dpfeffer@stevens.edu
Education
Bachelors of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
Honors; Minor in Law and Public Policy
Masters of Science in Computer Science
Stevens Institute of Technology
Hoboken, NJ
4.0 GPA; Graduate Certificates in Computer Systems, Databases & Service Oriented Architecture, Distributed Systems, Enterprise Computing, Quantitative Software Engineering, Service Oriented Computing
Professional Societies
Member of the IEEE Computer Society and ACM.
Courses
CS 521 TCP/IP Networking
CS 570 Introduction to Programming, Data Structures, and Algorithms
CS 465 Selected Topics in Computer Science
SSW 810 Selected Topics in Systems Centric Software Engineering