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ECE695D

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* '''Saturday, November 30:''' I have created a Blackboard site for the course for distributing the grades. To access, please go to http://mycourses.purdue.edu/ and see ECE-69500-166. Your current grades can be found under the page titled "My Grades"; the only missing grades so far is for the analytical exercise.
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* '''Monday, November 25:''' The deadline for the final paper has been moved to Tuesday, November 26. Make sure that I have everything by Wednesday morning so that I can send out the review assignments. If you have already submitted, you are welcome to submit a new version if desired.
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* '''Monday, November 18:''' Prof. Irani's guest lecture on November 26 has been canceled. This means that we can move our first project presentation to day that instead of November 21. See the detailed schedule.
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* '''Tuesday, November 12:''' It is time to schedule beta release demonstrations! Available times are Friday 9am-11.30am and 2pm-4pm.
to:
* '''Tuesday, November 12:''' It is time to schedule beta release demonstrations! Available times are Friday 9am-11.30am and 2pm-4pm. Sign up by filling in a time in the "15-min Demonstration" column for your project in the spreadsheet entitled "Project Groups".
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* '''Tuesday, November 12:''' It is time to schedule beta release demonstrations! Available times are Friday 9am-11.30am and 2pm-4pm.
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* '''Thursday, November 7:''' Please remember that midterms are due to be submitted tonight (as long as I have it by tomorrow morning)! Please submit by e-mail to Prof. Elmqvist.
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* '''Wednesday, October 10:''' Tomorrow we will continue with discussing data representations and transformations.
to:
* '''Wednesday, October 10:''' Tomorrow we will continue with discussing data representations and transformations. Please note that there are no paper summaries due this week or the next!
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* '''Wednesday, October 10:''' Tomorrow we will continue with discussing data representations and transformations.
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* '''Tuesday, September 24:''' I have postponed the deadline for [[CourseProject#Design | Design]] documents one week to October 6!
to:
* '''Tuesday, September 24:''' I have postponed the deadline for [[CourseProject#design | Design]] documents one week to October 6!
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* '''Tuesday, September 24:''' I have postponed the deadline for [[CourseProject#Design | Design]] documents one week to October 6!
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* '''Sunday, September 8:''' Please remember that [[CourseProject#]] proposals are due by midnight tonight! As long as I have it by tomorrow morning, I am happy. Submit by email.
to:
* '''Sunday, September 8:''' Please remember that [[CourseProject]] proposals are due by midnight tonight! As long as I have it by tomorrow morning, I am happy. Submit by email.
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* '''Sunday, September 8:''' Please remember that [[CourseProject#]] proposals are due by midnight tonight! As long as I have it by tomorrow morning, I am happy. Submit by email.
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* '''Sunday, September 1:''' Bear with me as I add references to this week's paper summary chapter (Chapter 3).
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** Deadline: every Sunday at 5pm (with some exceptions)
to:
** Deadline: every Sunday at midnight (with some exceptions)
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* '''Wednesday, August 28:''' Don't forget the first deadline for the first phase of the [[AnalyticalExercise]] that is due tomorrow at midnight (Thursday, August 29)!
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*** [[ProjectMatchmaking]] - add your research interests here
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*** Sunday, Dec 8 (Week 15) - Final Release
*** Sunday, Dec 8 (Week 15) - Final Reviews
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*** Sunday, Dec 8 (Week 16) - Final Release
*** Sunday, Dec 8 (Week 16) - Final Reviews
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*** Thursday, Sep 19 (Week 5) - Literature Review
*** Thursday, Oct 10 (Week 8) - Alpha Release
*** Thursday, Nov 7 (Week 12) - Beta Release
to:
*** Sunday, Sep 22 (Week 5) - Literature Review
*** Sunday, Sep 29 (Week 6) - Design
*** Sunday, Oct 20 (Week 8) - Alpha Release
*** Sunday, Nov 10
(Week 12) - Beta Release
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*** Sunday, Dec 1 (Week 15) - Final Release
*** Sunday, Dec 1 (Week 15) - Final Reviews
to:
*** Sunday, Dec 8 (Week 15) - Final Release
*** Sunday, Dec 8 (Week 15) - Final Reviews
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** Released: Thursday, Aug 25 (Week 1)
** Deadline (Phase 1): Thurday, Sep 1 (Week 2)
** Deadline (Phase 2): Thurday, Sep 8 (Week 3)
* '''Paper Critiques:''' Each student taking this course for credit must critique a research paper every week from the [[ReadingList]] for that week.
** Deadline: every Friday (with some exceptions)
* '''Paper Presentations:''' Students must present three (3) research papers in-class during the course. Presentations should be 10-15 minutes.
to:
** Released: Tuesday, Aug 20 (Week 1)
** Deadline (Phase 1): Thursday, Aug 29 (Week 2)
** Deadline (Phase 2): Thursday, Sep 5 (Week 3)
* '''Paper Summaries:''' Each student taking this course for credit must write a summary of a research paper every week (see the [[PaperSummaries]] document).
** Deadline: every Sunday at 5pm (with some exceptions)
* '''Paper Presentations:''' Students must present two (2) research papers in-class during the course. Presentations should be 10-15 minutes.
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** Released: Thursday, Aug 25 (Week 1)
to:
** Released: Tuesday, Aug 20 (Week 1)
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*** Thursday, Sep 8 (Week 3) - Project Proposal
*** Thursday, Sep 22 (Week 5) - Literature Review
*** Thursday, Oct 13 (Week 8) - Alpha Release
*** Thursday, Nov 10 (Week 12) - Beta Release
*** Sunday, Nov 20 (Week 13) - Paper Draft
*** Sunday, Nov 27 (Week 14) - Final Paper
*** Sunday, Dec 4 (Week 15) - Final Release
*** Sunday, Dec 4 (Week 15) - Final Reviews
to:
*** Thursday, Sep 5 (Week 3) - Project Proposal
*** Thursday, Sep 19 (Week 5) - Literature Review
*** Thursday, Oct 10 (Week 8) - Alpha Release
*** Thursday, Nov 7 (Week 12) - Beta Release
*** Sunday, Nov 17 (Week 13) - Paper Draft
*** Sunday, Nov 24 (Week 14) - Final Paper
*** Sunday, Dec 1 (Week 15) - Final Release
*** Sunday, Dec 1 (Week 15) - Final Reviews
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* '''Prerequisites:''' Introductory knowledge of one or more of the following areas: data analysis, knowledge management, statistics, computer graphics, visualization.
to:
* '''Prerequisites:''' Introductory knowledge of one or more of the following areas: data analysis, knowledge management, statistics, computer graphics, visualization. (No formal prerequisites.)
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** [[PaperCritiques]] - reading and critiquing research papers
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This course will cover topics in visual analytics. The format for the course will be group discussions of papers, lectures by the instructors, and student presentations of papers. There will also be a take-home midterm exam. The grading will be based on participation in class, critical assignments, and class projects. Class projects may be done individually or in groups. Projects have the potential of leading to work that forms the basis of an undergraduate research projects, Master's thesis, or Ph.D. research topic.
to:
This course will cover topics in visual analytics. The format for the course will be group discussions of papers, lectures by the instructors, and student presentations of papers. There will also be a class project, paper summaries in an annotated bibliography, and a take-home midterm exam. The grading will be based on participation in class, critical assignments, and class projects. Class projects may be done individually or in groups. Projects have the potential of leading to work that forms the basis of an undergraduate research projects, Master's thesis, or Ph.D. research topic.
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* Paper reading and evaluation - 15%
* Analytical exercise - 15%
to:
* Paper summaries (reading and evaluation) - 20%
* Analytical exercise - 10%
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* Midterm exam - 15%
* Class project - 45%

Phases may be turned in up to one week after the due date with a 30% grade penalty. Phases will not be accepted more than a week late. If you have a research deadline or other permissible excuse, please speak with the instructor ASAP to resolve late and missed submissions.
to:
* Midterm exam - 10%
* Class project - 50%

Submissions may be turned in up to one week after the due date with a 30% grade penalty. Phases will not be accepted more than a week late. If you have a research deadline or other permissible excuse, please speak with the instructor ASAP to resolve late and missed submissions.
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** [[PaperSummaries]] - reading and summarizing research papers
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* '''Tuesday, November 20:''' Thanks all for a great semester and I hope you will all continue your work in visual analytics in the future!
* '''Monday, November 14:''' We have scheduled two separate beta demo times: Thursday 11am-12pm, and Friday 1pm-2pm in POTR 127. Please arrange with me by e-mail or in class to find a 10-minute slot for you to present the work to the instructors (preferably during one of these two times).
* '''Monday, November 8:''' I have changed the beta release due date to Monday, November 14 at 11.59pm (instead of Saturday, November 12).
* '''Thursday, November 3:''' Hans Rosling was mentioned in class today; for those of you who have not seen any of his TED talks, here is his most famous [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]] from 2006.
* '''Monday, October 31:''' Happy Halloween! Tomorrow you will be given the midterm take-home exam and you will have exactly '''one week''' to return it. Any source is allowed (please cite them, even if it is only Wikipedia), but you are '''not''' allowed to collaborate and help each other!
* '''Wednesday, October 12:''' The lecture tomorrow (Thursday, October 13) will be given by Dr. Yun Jang (of the PURPL laboratory).
* '''Thursday, September 22:''' Remember that [[CourseProject#litreview | literature reviews]] are due by midnight tonight!
* '''Monday, September 12:''' We have received all proposals now and are reviewing them. You will receive initial feedback as soon as possible. Remember to prepare 3-minute presentations of your proposal for class on Thursday, September 15!
* '''Friday, September 2:''' The Jigsaw distribution and the Atlantic Storm dataset in .jig format has been made available on the Blackboard site. Let me know if you do not have access to the Blackboard and still want access to the system.
* '''Monday, August 29:''' The assignments have all been updated in the Blackboard system. It should now be possible to submit your analytical exercises. Also, those of you who encountered trouble submitting your paper critiques last week, please e-mail them directly to Prof. Elmqvist. For the future, be careful about non-ASCII characters when submitting comments to the Wiki (and don't be afraid to edit if need be).
* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 1! ('''Edit:''' This incorrectly said "September 8"; September 1 is the correct date.)
* '''Friday, August 19:''' The first lecture will be given on Tuesday, August 23
. Meanwhile, this website will slowly be updated with information. See you on Tuesday!
to:
* '''Sunday, August 18:''' The first lecture will be given on Tuesday, August 20. Meanwhile, this website will slowly be updated with information. See you on Tuesday!
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* '''Course hours:''' TTh 9:00am-10:15am in EE 224
* '''Term:''' Fall 2011
to:
* '''Course hours:''' TTh 9:00am-10:15am in HAMP 2117
* '''Term:''' Fall 2013
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*** '''Office hours:''' Tuesdays, 10:30am-11:30am (or by appointment)
to:
*** '''Office hours:''' Thursdays, 10:30am-11:30am (or by appointment)
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*** '''Office:''' MSEE 274 (second floor of the MSEE building) and POTR 228
to:
*** '''Office:''' POTR 228
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'''Note:''' This website serves as the formal syllabus for ECE 695D. It is subject to change as the course progresses, so please keep coming back to find more information!
to:
'''Note:''' This website serves as the formal syllabus for ECE 695D. It is subject to change as the course progresses, so please keep coming back to find more information!
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Phases may be turned in up to one week after the due date with a 30% grade penalty. Phases will not be accepted more than a week late. Plus/minus grading will be used in this class.
to:
Phases may be turned in up to one week after the due date with a 30% grade penalty. Phases will not be accepted more than a week late. If you have a research deadline or other permissible excuse, please speak with the instructor ASAP to resolve late and missed submissions.

Plus/minus grading will be used in this class.
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Please see the detailed page on [[(Documents.)CampusEmergencies]] for more information.
to:
Please see the detailed page on [[(Documents.)CampusEmergencies]] for more information.

!!!Previous Years

See the following links for older versions of this course:
* [[ECE695D-2011/ECE695D | 2011]]
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* '''Tuesday, November 20:''' Thanks all for a great semester and I hope you will all continue your work in visual analytics in the future!
Added line 3:
* '''Monday, November 14:''' We have scheduled two separate beta demo times: Thursday 11am-12pm, and Friday 1pm-2pm in POTR 127. Please arrange with me by e-mail or in class to find a 10-minute slot for you to present the work to the instructors (preferably during one of these two times).
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* '''Monday, November 8:''' I have changed the beta release due date to Monday, November 14 at 11.59pm (instead of Saturday, November 12).
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* '''Thursday, November 3:''' Hans Rosling was mentioned in class today: for those of you who have not seen any of his TED talks, here is his most famous [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]] from 2006.
to:
* '''Thursday, November 3:''' Hans Rosling was mentioned in class today; for those of you who have not seen any of his TED talks, here is his most famous [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]] from 2006.
Changed line 3 from:
* '''Thursday, November 3:''' Hans Rosling was mentioned in class today: for those of you who have not seen any of his TED talks, here is his most famous one from 2006: [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]]
to:
* '''Thursday, November 3:''' Hans Rosling was mentioned in class today: for those of you who have not seen any of his TED talks, here is his most famous [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]] from 2006.
Added line 3:
* '''Thursday, November 3:''' Hans Rosling was mentioned in class today: for those of you who have not seen any of his TED talks, here is his most famous one from 2006: [[http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html | video]]
Added line 3:
* '''Monday, October 31:''' Happy Halloween! Tomorrow you will be given the midterm take-home exam and you will have exactly '''one week''' to return it. Any source is allowed (please cite them, even if it is only Wikipedia), but you are '''not''' allowed to collaborate and help each other!
Added line 3:
* '''Wednesday, October 12:''' The lecture tomorrow (Thursday, October 13) will be given by Dr. Yun Jang (of the PURPL laboratory).
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* '''Thursday, September 22:''' Remember that [[CourseProject#litreview | literature reviews]] are due by midnight tonight!
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* '''Monday, September 12:''' We have received all proposals now and are reviewing them. You will receive initial feedback as soon as possible. Remember to prepare 3-minute presentations for class on Thursday, September 13!
to:
* '''Monday, September 12:''' We have received all proposals now and are reviewing them. You will receive initial feedback as soon as possible. Remember to prepare 3-minute presentations of your proposal for class on Thursday, September 15!
Added line 3:
* '''Monday, September 12:''' We have received all proposals now and are reviewing them. You will receive initial feedback as soon as possible. Remember to prepare 3-minute presentations for class on Thursday, September 13!
Added line 3:
* '''Friday, September 2:''' The Jigsaw distribution and the Atlantic Storm dataset in .jig format has been made available on the Blackboard site. Let me know if you do not have access to the Blackboard and still want access to the system.
August 29, 2011, at 08:58 AM by 192.168.1.11 -
Added line 3:
* '''Monday, August 29:''' The assignments have all been updated in the Blackboard system. It should now be possible to submit your analytical exercises. Also, those of you who encountered trouble submitting your paper critiques last week, please e-mail them directly to Prof. Elmqvist. For the future, be careful about non-ASCII characters when submitting comments to the Wiki (and don't be afraid to edit if need be).
August 29, 2011, at 08:39 AM by 192.168.1.11 -
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* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 1!
to:
* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 1! ('''Edit:''' This incorrectly said "September 8"; September 1 is the correct date.)
August 29, 2011, at 08:39 AM by 192.168.1.11 -
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* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 8!
to:
* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 1!
August 25, 2011, at 09:23 AM by 192.168.1.11 -
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* '''Thursday, August 25:''' Remember that the first [[PaperCritique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise]] is due on Thursday, September 8!
to:
* '''Thursday, August 25:''' Remember that the first [[PaperCritiques | paper critique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise | analytical exercise]] is due on Thursday, September 8!
August 25, 2011, at 09:23 AM by 192.168.1.11 -
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* '''Thursday, August 25:''' Remember that the first [[PaperCritique]] is due on Friday (tomorrow), and the first phase of the [[AnalyticalExercise]] is due on Thursday, September 8!
August 25, 2011, at 09:19 AM by 192.168.1.11 -
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** Released: Tuesday, Aug 23 (Week 1)
to:
** Released: Thursday, Aug 25 (Week 1)
August 23, 2011, at 07:54 AM by 192.168.1.11 -
Deleted lines 0-3:
Course website: [[https://engineering.purdue.edu/~elm/teaching/ece695d/]]

!!!This Wiki page is still under construction!
Changed lines 76-77 from:
This course will cover topics in visual analytics. The format for the course will be group discussions of papers, lectures by the instructors, and student presentations of papers. There will also be a take-home midterm exam. The grading will be based on participation in class, critical assignments, and class projects. Class projects may be done individually or in groups. Projects have the potential of leading to work that forms the basis of an undergraduate research projects, Master's thesis, or Ph.D. research topic.
to:
This course will cover topics in visual analytics. The format for the course will be group discussions of papers, lectures by the instructors, and student presentations of papers. There will also be a take-home midterm exam. The grading will be based on participation in class, critical assignments, and class projects. Class projects may be done individually or in groups. Projects have the potential of leading to work that forms the basis of an undergraduate research projects, Master's thesis, or Ph.D. research topic.
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* Introductory visual analytics assignment - 15%
to:
* Analytical exercise - 15%
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* '''Introductory Visual Analytics Assignment:''' a gentle introduction to visual analytics, this assignment will help you get started in visual analytics research. It will not involve any programming and can be done entirely by hand on paper.
to:
* '''Analytical Exercise:''' To get a firsthand experience of some of the problems that our potential end users face, you will perform an analytical reasoning exercise to find a hidden threat in collection of police and intelligence reports. The exercise will not involve any programming and can be done entirely by hand on paper.
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** Deadline: Thurday, Sep 1 (Week 2)
to:
** Deadline (Phase 1): Thurday, Sep 1 (Week 2)
** Deadline (Phase 2): Thurday, Sep 8 (Week 3
)
August 23, 2011, at 07:51 AM by 192.168.1.11 -
Deleted lines 80-81:

A partial list of topics can be found here: [[CourseTopics]]
August 22, 2011, at 02:55 PM by 192.168.1.11 -
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!!!This Wiki page is still under construction!
August 22, 2011, at 02:44 PM by 192.168.1.11 -
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* '''Course hours:''' TTh 9:00am-10:15 in EE 224
to:
* '''Course hours:''' TTh 9:00am-10:15am in EE 224
August 22, 2011, at 08:42 AM by 192.168.1.11 -
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** [[IntroAssignment]] - introductory visual analytics assignment
to:
** [[AnalyticalExercise]] - introductory visual analytics assignment
August 19, 2011, at 01:01 PM by 192.168.1.11 -
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** [[VisualRepresentations]] - introductory assignment on visualization design
to:
** [[IntroAssignment]] - introductory visual analytics assignment
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* Initial visualization assignment - 15%
to:
* Introductory visual analytics assignment - 15%
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* '''Visualization Assignment:''' a gentle introduction to visualization, this assignment will help you get started in visualization research. It will not involve any programming, but will force you to design and draw a visual representation of a given dataset.
** Released: Wednesday, Aug 25 (Week 1)
** Deadline: Friday, Sep 3
(Week 2)
to:
* '''Introductory Visual Analytics Assignment:''' a gentle introduction to visual analytics, this assignment will help you get started in visual analytics research. It will not involve any programming and can be done entirely by hand on paper.
** Released: Thursday, Aug 25 (Week 1)
** Deadline: Thurday, Sep 1 (Week 2)
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** Released: Monday, Aug 23 (Week 1)
to:
** Released: Tuesday, Aug 23 (Week 1)
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*** Wednesday, Sep 8 (Week 3) - Project Proposal
*** Wednesday, Sep 22 (Week 5) - Literature Review
*** Wednesday, Oct 13 (Week 8) - Alpha Release
*** Wednesday, Nov 10 (Week 12) - Beta Release
*** Sunday, Nov 21 (Week 13) - Paper Draft
*** Sunday, Nov 28 (Week 14) - Final Paper
*** Sunday, Dec 5 (Week 15) - Final Release
*** Sunday, Dec 5 (Week 15) - Final Reviews
to:
*** Thursday, Sep 8 (Week 3) - Project Proposal
*** Thursday, Sep 22 (Week 5) - Literature Review
*** Thursday, Oct 13 (Week 8) - Alpha Release
*** Thursday, Nov 10 (Week 12) - Beta Release
*** Sunday, Nov 20 (Week 13) - Paper Draft
*** Sunday, Nov 27 (Week 14) - Final Paper
*** Sunday, Dec 4 (Week 15) - Final Release
*** Sunday, Dec 4 (Week 15) - Final Reviews
August 19, 2011, at 12:56 PM by 192.168.1.11 -
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** [[MidtermExam]]] - take-home midterm exam
to:
** [[MidtermExam]] - take-home midterm exam
August 19, 2011, at 12:56 PM by 192.168.1.11 -
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This course did not use the Wiki.

Course website:
[[https://engineering.purdue.edu/~elm/teaching/ece695d/]]
to:
Course website: [[https://engineering.purdue.edu/~elm/teaching/ece695d/]]

!Announcements

* '''Friday, August 19:''' The first lecture will be given on Tuesday, August 23. Meanwhile, this website will slowly be updated with information. See you on Tuesday!

!ECE 695D - Introduction to Visual Analytics
* '''Course hours:''' TTh 9:00am-10:15 in EE 224
* '''Term:''' Fall 2011
* '''Instructors:'''
** Niklas Elmqvist, Assistant Professor of Electrical and Computer Engineering
*** '''E-mail:''' elm@purdue.edu
*** '''Office:''' MSEE 270 (second floor of the MSEE building)
*** '''Office hours:''' Tuesdays, 10:30am-11:30am (or by appointment)
** David Ebert, Silicon Valley Professor of Electrical and Computer Engineering
*** '''E-mail:''' ebertd@purdue.edu
*** '''Office:''' MSEE 274 (second floor of the MSEE building) and POTR 228
*** '''Office hours:''' by appointment only
* '''Textbook:''' No official textbook, research papers (see the [[ReadingList]]).
* '''Prerequisites:''' Introductory knowledge of one or more of the following areas: data analysis, knowledge management, statistics, computer graphics, visualization.
* '''Course Schedule:''' See the [[DetailedSchedule]].
* '''Assignments:'''
** [[VisualRepresentations]] - introductory assignment on visualization design
** [[PaperCritiques]] - reading and critiquing research papers
** [[PaperPresentation]] - giving research talks in class
** [[CourseProject]] - capstone semester-long course project
** [[MidtermExam]]] - take-home midterm exam

'''Note:''' This website serves as the formal syllabus for ECE 695D. It is subject to change as the course progresses, so please keep coming back to find more information!

!!!Introduction

The development of terascale and petascale computing
systems and powerful new scientific instruments has
created an unprecedented growth of scientific data.
Unfortunately, this sea of data has not had the
transformational effect that was expected on science and
engineering, but has instead become a bottleneck in
itself. Fundamental new techniques are needed to turn
this data deluge into the useful, understandable
information and knowledge necessary for transformational
science and engineering, creating interactive knowledge
environments for exploration, design, and discovery.

'''Visual analytics'''---the science of combining
interactive visual interfaces with automatic algorithms
to support analytical reasoning and build synergies
between humans and computers---is an emerging science
that has been created to address this challenge.
Originally launched in 2004 by the U.S. Department of
Homeland Security to enable harnessing the data deluge
in tackling the overarching economical, environmental,
and security-related challenges facing society, the
discipline now has funded efforts from the National
Science Foundation and the U.S. Department of Energy, as
well as several international efforts of similar scale
and magnitude.

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.

This course will serve as an introduction to the
science and technology of visual analytics. The course
contents will include both theoretical foundations of
this interdisciplinary science as well as practical
applications of integrated visual analysis techniques on
real-world problems.

!!!Overview

This course will cover topics in visual analytics. The format for the course will be group discussions of papers, lectures by the instructors, and student presentations of papers. There will also be a take-home midterm exam. The grading will be based on participation in class, critical assignments, and class projects. Class projects may be done individually or in groups. Projects have the potential of leading to work that forms the basis of an undergraduate research projects, Master's thesis, or Ph.D. research topic.

A partial list of topics can be found here: [[CourseTopics]]

!!!Schedule

See the [[DetailedSchedule]] for more information.

!!!Readings

There is no official textbook for this course. Students will read and discuss seminal and current technical research papers. A list of readings (in progress and subject to frequent update) is available on the [[ReadingList]].

The following books may be useful as references.
* ''Illuminating the Path: The R&D Agenda for Visual Analytics'', Editors: James J. Thomas and Kristin A. Cook ([[http://nvac.pnl.gov/agenda.stm | online version]])
* ''The Visualization Handbook'', by Charles Hansen and Christopher Johnson, Academic Press, 2005
* ''The Visualization Toolkit: An Object-Oriented Approach to 3D Graphics'', by William Schroeder, Ken Martin, Bill Lorensen, 2nd Edition, 1997, (ISBN 0-13-954694-4).
* ''Readings in Information Visualization: Using Vision to Think'', by Stuart K. Card, Jock D. Mackinlay, and Ben Shneiderman, Morgan Kaufmann

!!!Assessment Methods

The course outcomes will be assessed through student demonstration of a completed visual analytics project, submission of working program(s), oral and written presentation of results (literature survey, alpha release report, beta release report, regular meetings of project teams with the instructor, and the final project report), and a take-home midterm exam. The overall knowledge acquisition of visual analytics will be assessed by student oral presentations of papers, through the completion of a literature review, and through several initial project assignments.

!!!Grades

Grades will be assigned on the following grounds:

* Paper reading and evaluation - 15%
* Initial visualization assignment - 15%
* Paper presentations and class participation - 10%
* Midterm exam - 15%
* Class project - 45%

Phases may be turned in up to one week after the due date with a 30% grade penalty. Phases will not be accepted more than a week late. Plus/minus grading will be used in this class.

!!!Assignments

This course has five types of assignments: an introductory visualization assignment, weekly paper critiques, paper presentations, and the course project. More details on these are given below:

* '''Visualization Assignment:''' a gentle introduction to visualization, this assignment will help you get started in visualization research. It will not involve any programming, but will force you to design and draw a visual representation of a given dataset.
** Released: Wednesday, Aug 25 (Week 1)
** Deadline: Friday, Sep 3 (Week 2)
* '''Paper Critiques:''' Each student taking this course for credit must critique a research paper every week from the [[ReadingList]] for that week.
** Deadline: every Friday (with some exceptions)
* '''Paper Presentations:''' Students must present three (3) research papers in-class during the course. Presentations should be 10-15 minutes.
* '''Course Project:'''
** Released: Monday, Aug 23 (Week 1)
** Deadlines: several milestones
*** Wednesday, Sep 8 (Week 3) - Project Proposal
*** Wednesday, Sep 22 (Week 5) - Literature Review
*** Wednesday, Oct 13 (Week 8) - Alpha Release
*** Wednesday, Nov 10 (Week 12) - Beta Release
*** Sunday, Nov 21 (Week 13) - Paper Draft
*** Sunday, Nov 28 (Week 14) - Final Paper
*** Sunday, Dec 5 (Week 15) - Final Release
*** Sunday, Dec 5 (Week 15) - Final Reviews
*** Last week of classes (Week 16) - Presentations

There is '''no''' final exam in this course. There is, however, a take-home midterm exam that will be administered halfway through the course.

!!!Academic Integrity

Students must conform to Purdue's policy on academic integrity. More specifically, Purdue prohibits "dishonesty in connection with any University activity. Cheating, plagiarism, or knowingly furnishing false information to the University are examples of dishonesty." [University Regulations, Part 5, Section III, B, 2, a]

Please see the detailed page on [[(Documents.)AcademicIntegrity]]. Note that you are responsible for knowing this information---ignorance is not a valid excuse.

!!!Campus Emergencies

In the event of a major campus emergency, course requirements, deadlines and grading percentages are subject to changes that may be necessitated by a revised semester calendar or other circumstances. Information about changes in this course can be received from the course website, or the [[https://blackboard.purdue.edu/ | Blackboard]] site, or by contacting the instructor by email (elm@purdue.edu) or office phone (765-494-0364).

Please see the detailed page on [[(Documents.)CampusEmergencies]] for more information.
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This course did not use the Wiki.

Course website: [[https://engineering.purdue.edu/~elm/teaching/ece695d/]]
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