Course Repository

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: https://engineering.purdue.edu/ECE/Academics/Undergraduates/UGO/CourseInfo/courseInfo?courseid=133&show=true&type=undergrad

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 presentation 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: https://www.sfu.ca/outlines.html?2015/fall/iat/814/g100

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://viscenter.uncc.edu/about/courses/itcs-51224122-visual-analytics

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://viscenter.uncc.edu/about/courses/itcs-51214121-information-visualization

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-12-fall/

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