Visualization
Description
The amount and complexity of information produced in science, engineering, business, and everyday human activity is increasing at staggering rates. The goal of this course is to expose students to visual representation methods and techniques that facilitate the understanding of complex data. Good visualizations not only present a visual interpretation of data, but improve comprehension, communication, and decision making. The course covers how the human visual system processes and perceives images, good design practices for visualization, tools for visualization of data from a variety of fields, collecting data from web sites with Python, and programming interactive visualization application…
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The amount and complexity of information produced in science, engineering, business, and everyday human activity is increasing at staggering rates. The goal of this course is to expose students to visual representation methods and techniques that facilitate the understanding of complex data. Good visualizations not only present a visual interpretation of data, but improve comprehension, communication, and decision making. The course covers how the human visual system processes and perceives images, good design practices for visualization, tools for visualization of data from a variety of fields, collecting data from web sites with Python, and programming interactive visualization applications using Processing. The recorded lectures are from the Harvard School of Engineering and Applied Sciences course Computer Science 171. Prerequisite: programming experience, or permission of the instructor. (4 credits)
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