DataVis2012 - Revision history

Csilva: /* Assignments */

2012-03-05T02:10:46Z

Assignments

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	Assignments will be listed here.		Assignments will be listed here.

			Please note the CSE departmental policy on collaboration on programming assignments: http://cis.poly.edu/policies/

	== Late Assignments ==		== Late Assignments ==

Csilva at 22:35, 13 February 2012

2012-02-13T22:35:05Z

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	We are likely to hold optional classes on Python, CMake, and VisTrails. Those will be discussed and announced in class.		We are likely to hold optional classes on Python, CMake, and VisTrails. Those will be discussed and announced in class.

			== Projects ==

			[http://www.vistrails.org/index.php/DataVis2012/Projects Go to projects]

	== Datasets ==		== Datasets ==

Csilva: /* Reference Material */

2012-01-02T22:39:00Z

Reference Material

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	[http://diveintopython.org/toc/index.html Dive Into Python]		[http://diveintopython.org/toc/index.html Dive Into Python]

	[http://~~www~~.~~kitware.com~~/~~products~~/~~vtkguide.html VTK~~ User's Guide]		[http://paraview.org/Wiki/ParaView/Users_Guide/Table_Of_Contents ParaView User's Guide]

	[http://~~paraview~~.~~org~~/~~Wiki~~/~~ParaView/Users_Guide/Table_Of_Contents ParaView~~ User's Guide]		[http://www.kitware.com/products/vtkguide.html VTK User's Guide] (Optional, this is a link to buy the book)

	== Assignments ==		== Assignments ==

Csilva: /* Reference Material */

2012-01-02T22:38:16Z

Reference Material

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	[http://www.kitware.com/products/vtkguide.html VTK User's Guide]		[http://www.kitware.com/products/vtkguide.html VTK User's Guide]

			[http://paraview.org/Wiki/ParaView/Users_Guide/Table_Of_Contents ParaView User's Guide]

	== Assignments ==		== Assignments ==

Csilva at 04:05, 6 December 2011

2011-12-06T04:05:24Z

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	This page contains information on the Data Visualization course taught by [http://vgc.poly.edu/~csilva Professor Cláudio Silva] during Spring 2012 in the Polytechnic Institute of NYU.		This page contains information on the Data Visualization course taught by [http://vgc.poly.edu/~csilva Professor Cláudio Silva] during Spring 2012 in the Polytechnic Institute of NYU.

	This class meets on Mondays nights, ~~exact times & rooms TBA~~.		This class meets on Mondays nights, 6-8:25pm, location TBD.

	== Course Overview ==		== Course Overview ==

Csilva: /* Course History */

2011-12-06T04:00:41Z

Course History

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	== Course History ==		== Course History ==

	This course builds on the Visualization course taught at Utah for many years, ~~that can be traced to material developed~~ by Professors Chris Johnson, Chuck Hansen, Ross Whitaker, among others. [http://www.vistrails.org/index.php/SciVisFall2007] and [http://www.vistrails.org/index.php/SciVisFall2008] are two previous editions of this course taught at the University of Utah.		This course builds on the Visualization course taught at Utah for many years, with contributions by Professors Chris Johnson, Chuck Hansen, Ross Whitaker, among others. [http://www.vistrails.org/index.php/SciVisFall2007] and [http://www.vistrails.org/index.php/SciVisFall2008] are two previous editions of this course taught at the University of Utah.

	The NYU-Poly offering is being revamped to include more material on information visualization, and a project for graduate students.		The NYU-Poly offering is being revamped to include more material on information visualization, and a project for graduate students.

Csilva: /* Course Overview */

2011-12-06T03:59:37Z

Course Overview

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	== Course Overview ==		== Course Overview ==

	~~Scientific- (or data-), and Information visualization are branches~~		Computing, in its many forms, has been an enormous accelerator for
	~~of computer graphics and user interface design that are concerned with~~		science, leading to an information explosion in many different
	~~presenting data to users, by means of images. The goal of this area is~~		fields. As Moore's law and other advances in technology increases our
	~~usually to improve understanding of the data being presented. (From~~		capacity for acquiring, storing, and generating information, our
	~~Wikipedia.)~~		ability to analyze these vasts amount of data with existing techniques
			and tools is simply not keeping up. Simply speaking, future
	~~While, it is difficult to exactly define the field of visualization,~~		scientific advances depend on our ability to comprehend the vast
	~~it is much easier to explain where the need for this field of study~~		amounts of data currently being produced and acquired. Effectively
	~~comes from.~~ Computing, in its many forms, has been an enormous		understand and leverage the growing wealth of scientific data is one
	accelerator for science, leading to an information explosion in many		of the greatest research challenges of the 21st century.
	~~different~~ fields. As Moore's law and other advances in technology
	increases our capacity for acquiring, storing, and generating
	information, our ability to analyze these vasts amount of data with
	existing techniques and tools is simply not keeping up. Simply
	speaking, future scientific advances depend on our ability to
	comprehend the vast amounts of data currently being produced and
	acquired. Effectively understand and leverage the growing wealth of
	scientific data is is one of the greatest research challenges of the
	21st century.

	There have been estimates of the amount of data being produced and		There have been estimates of the amount of data being produced and
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	big bang". There are estimates that sometime in 2006, the human race		big bang". There are estimates that sometime in 2006, the human race
	has generated more data in that one year than in all the 40,000 years		has generated more data in that one year than in all the 40,000 years
	before. ~~It is hard to imagine how this is the case, but just consider~~		before. In this course, we will be concerned with techniques for
	~~the amount of data generated by CT and MRI scans, labpratory tests, and~~		analyzing information and scientific data. We take the view that
	~~data entries of a single major health center in the United States. Or~~		future advances in science and engineering depend on the ability to
	~~consider the amount of data being generated by the London video~~		comprehend the vast amounts of data being produced and
	~~surveillance system; or the U.S. National Security Agency electronic~~
	~~foreign surveillance initiative. Even the personal data that each of~~
	~~us receives is quite substantial. For starters, think of your e-mail,~~
	~~it is probably a few gigabytes each year; add all your photos and~~
	~~videos; etc. These are the things you are aware of; but think of all~~
	~~the "traces" of yourself that you are leaving behind, all your~~
	~~Google searches, Yahoo! instant messages, credit card transactions,~~
	~~phone calls, cookies and other information spread at each and every~~
	~~website you visit. This data add up really quickly, and being able to~~
	~~analyze it becomes increasingly difficult.~~

	In this course, we will be concerned with techniques for analyzing
	information and scientific data. ~~We would like to emphasize that~~
	~~although the term "visualization" is somewhat recent, generally~~
	~~accepted to being coined for the 1987 NSF report on scientific~~
	~~visualization, the "area" of visualization in the sense of "data~~
	~~understanding by visual representation or other visual means" can be~~
	~~considered hundreds of years old. What separates the old from the new~~
	~~is the availability of advanced computing capabilities, including~~
	~~modern computer graphics techniques, which form the backbone of modern~~
	~~visualization research.~~

	We take the view that future advances in science depend on the ability
	to comprehend the vast amounts of data being produced and
	acquired. Visualization is a key enabling technology in this endeavor,		acquired. Visualization is a key enabling technology in this endeavor,
	it helps people explore and explain data through software systems that		it helps people explore and explain data through software systems that
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	premise of visualization is that visual information can be processed		premise of visualization is that visual information can be processed
	at a much higher rate than raw numbers and text--as the cliche goes:		at a much higher rate than raw numbers and text--as the cliche goes:
	"A picture is worth a thousand words".		"A picture is worth a thousand words".

	Despite the promise that visualization can serve as an effective		Despite the promise that visualization can serve as an effective
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	of existing techniques, and how they relate to human		of existing techniques, and how they relate to human
	cognition. Although there have been enormous advances in the area, the		cognition. Although there have been enormous advances in the area, the
	use of advanced visualization techniques is still limited.		use of advanced visualization techniques is still limited.

	In this class, we will cover the principles and ~~techniques~~ necessary to generate these visualizations.		In this class, we will cover the principles, techniques, and tools
			necessary to generate these visualizations.

	There will be no required textbook. We will be providing a detailed set of course notes for the class.		There will be no required textbook. We will be providing a detailed set of course notes for the class.

Csilva: /* Mailing List */

2011-12-06T03:41:23Z

Mailing List

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	http://vgc.poly.edu/mailman/listinfo/datavis-course		http://vgc.poly.edu/mailman/listinfo/datavis-course

	The datavis-course-teach [@vgc.poly.edu] is how you should interact with the instructor staff. Please do not send mail to personal addresses.		The datavis-course-teach [@vgc.poly.edu] is how you should interact with the instructor staff. Please do not send mail to personal email addresses.

Csilva: /* Datasets */

2011-12-06T03:39:44Z

Datasets

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	== Datasets ==		== Datasets ==

	We will the datasets used in the course here.		We will list the datasets used in the course here.

	== Reading ==		== Reading ==

Csilva: /* Lectures, and consulting hours */

2011-12-06T03:39:12Z

Lectures, and consulting hours

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	== Lectures, and consulting hours ==		== Lectures, and consulting hours ==

	We will meet once a week on ~~Monday~~.		We will meet once a week on Mondays.

	The instructor for the class is Claudio Silva.		The instructor for the class is [http://vgc.poly.edu/~csilva Claudio Silva].

	The TA for the course is TBD.		The TA for the course is TBD.