Visual Analytics for Command, Control, and Interoperability Environments

Graduate

The Homeland Security Career Development Program is led by:
Purdue University Visual Analytics for Command Control and Interoperability Environments (VACCINE) http://www.purdue.edu/discoverypark/vaccine, Dr. David Ebert, Director 

Awards will be provided to full-time graduate students with a research focus in the visualization and data sciences and HS-STEM fields. These awards will apply to students who would like to pursue advanced degrees in computer graphics, computer science, visualization, visual analytics, human computer interaction, image and video processing, machine learning, advanced databases, knowledge management, data analytics, cybersecurity, forensics, decision sciences, information and knowledge management, massive and real-time data management, mobile computing, interoperability, statistics and math. Successful applicants will be expected to work under the close supervision of a VACCINE faculty member to advance the research agenda as it aligns to VACCINE's homeland security mission areas. Awards are also open to senior undergraduates applying to graduate school. Awards are contingent upon acceptance into an appropriate graduate program at Purdue University. Students must be US Citizens and have a minimum 3.3 cumulative GPA.

Student Application Process:

• Attached is the application and program information.


• Please note the timeline for the application process:

Applications due: Monday, February 6th, 2012

Student awards announced: late February/early March

2012 HS-STEM Graduate Application

     Year of Service Approved Sites - DHS Career Development Program

Visual Analytics related Graduate Courses at VACCINE Partner Universities

Purdue University

• Visualization Techniques - ECE 595E
This course will cover topics in visualization: visual analytics, scientific visualization, medical visualization, and information visualization. The format for the course will be group discussions of papers, some lectures by the instructor, and some student presentations of papers.
Course link: http://cobweb.ecn.purdue.edu/~ee595e/


• Introduction to Visual Analytics - ECE 695D
Visual analytics is used in all areas spanning science, engineering, business and government; examples of specific application areas include intelligence analysis for homeland security, business intelligence support to help businesses acquire a better understanding of their commercial context, mobile graphics for emergency first responders, network log analysis for computer security, and health monitoring for disease outbreak prediction and response.
Course link: https://engineering.purdue.edu/~elm/teaching/ece695d/


• Data Visualization - STAT 695T
The course content will focus fundamentally on how to analyze data. Through many case studies, it will present visualization methods, going through a number of standard numerical methods and models for statistical analysis, showing how visualization enhances these methods and models. This illustrates the use of the visualization methods, and demonstrates why they are essential to valid analyses that preserve the information in data.
Course link: http://ml.stat.purdue.edu/stat695t/

Georgia Tech

• Information Visualization - CS 7450
Information visualization is a research area that focuses on the use of visualization techniques to help people understand and analyze data. While fields such as scientific visualization involve the presention of data that has some physical or geometric correspondence, information visualization focuses on abstract data without such correspondences such as symbolic, tabular, networked, hierarchical, or textual information sources.
Course link: http://www.cc.gatech.edu/~stasko/7450/

Simon Fraser University

• IAT 814 - Knowledge Visualization and Communication
Visualization and Communication are two sides of the same coin. When information and knowledge are perceived we must form our own mental models before we can effectively communicate it. Thus this course will explore how we perceive information from different visualization approaches and how we can best communicate the information and the concepts represented.
Course link: http://www.siat.sfu.ca/grad/courses/2009/3/IAT-814/

UNCC

• ITCS 4122/5122 - Visual Analytics
Visual Analytics is the combination of information visualization with other data analysis techniques to combine the best of both worlds. In this course, you will be using the visualization tool Tableau to analyze a data set of your choice.
Course link: http://cs.uncc.edu/~rkosara/VA/


• ITCS 4121/5121 - Information Visualization
Information visualization is the science that unveils the underlying structure of abstract data sets using visual representations that utilize the powerful processing capabilities of the human visual perceptual system.
Course link: http://www.cs.uncc.edu/~jyang13/infovis2010.html

Stanford University

• CS 448b - Data Visualization
In this course we will study techniques and algorithms for creating effective visualizations based on principles from graphic design, visual art, perceptual psychology, and cognitive science. The course is targeted both towards students interested in using visualization in their own work, as well as students interested in building better visualization tools and systems.
Course link: https://graphics.stanford.edu/wikis/cs448b-09-fall