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magistraleinformaticaeconomia:va:start

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magistraleinformaticaeconomia:va:start [17/04/2018 alle 09:46 (6 anni fa)]
Salvatore Rinzivillo [Class Calendar] 		magistraleinformaticaeconomia:va:start [08/04/2024 alle 12:56 (8 giorni fa)] (versione attuale)
Salvatore Rinzivillo [Class Calendar]
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   * **Salvatore Rinzivillo** ([[rinzivillo@isti.cnr.it]])   * **Salvatore Rinzivillo** ([[rinzivillo@isti.cnr.it]])
 +
 +==== Quick access links ====
 +
 +  * MS Teams Channel: https://teams.microsoft.com/l/team/19%3Ay-8ZfWySz6pqWt_T4qI5mVupboYBGBwTlbMwABIN1hE1%40thread.tacv2/conversations?groupId=6e8b2ea8-2379-4e79-b3fa-564e527ffda2&tenantId=c7456b31-a220-47f5-be52-473828670aa1
 +  * Telegram channel: https://t.me/+6PTkOzAWcWswMWI8
 +  * All source code of exercises are available at the URL: https://github.com/va602aa-master
  
 ===== Schedule ===== ===== Schedule =====
-  * Monday, 14:00 - 16:00, Aula N1 Polo Fibonacci +  * Monday, 16:00 - 18:00, Room C 
-  * Friday, 14:00 - 16:00, Aula C1 Polo Fibonacci+  * Tuesday, 14:00 - 16:00, Room L1
  
 ===== News ===== ===== News =====
-To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/va602aa +To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/va602aa  
-  * **[new]** The lesson planned on April 16, will be moved on April 17th 16-18, room L1 +   * New link for the Telegram Channel: https://t.me/+6PTkOzAWcWswMWI8  
-  * **[new]** The lesson planned on April 13, will be anticipated on April 12th 11-13, room O +   * The new edition is starting on Monday 19th February 2024 at 16:00 in Room A
-  * There will be class on March 16th +
-  * There will be class on March 9th. We will have an extra lesson on March 13th, from 11 to 13 in Aula L1 +
-  * There will be class on March 5th and March 9. We will have an extra lesson on March 6th, from 11 to 13 in Aula N1 +
-  * A new edition is starting on Monday 19th February+
  
 ===== Exams ===== ===== Exams =====
 Students will be admitted to the exam after the registration on the website [[http://esami.unipi.it]].  Students will be admitted to the exam after the registration on the website [[http://esami.unipi.it]]. 
-The exam consist of a discussion of the project. It is mandatory to submit a short report (6-10 pages) within the deadline by mail to instructor, specifying the tag "[VA]" in the subject.+The exam consists of a discussion of the project. It is mandatory to submit a short report (6-10 pages) within the deadline by mail to the instructor, specifying the tag "[VA]" in the subject. 
 + 
 +Planned dates: 
 +  * Please log on to the portal for registration to get the next dates 
 + 
 + 
 +==== Project assignment ==== 
 +  * A project should have the following requirements: 
 +    * The application should contain several visual widgets, each providing insights on a selection of dimensions of the original data 
 +    * It is possible to use state-of-the-art charts (bar charts, line charts, etc.) and libraries (plot.ly, vega, etc).  
 +    * The final evaluation will take into account the implementation of a novel, original visualization to present the data in a creative, non-trivial way, using D3.js (see examples on Vast Challenge 2008 developed in class). You can refer to visualization techniques already present in the literature, by adapting or implementing part of the solution. 
 +    * Interactivity should be implemented, providing toolbars, selections, and filters for the data. 
 +    * The visual widget should interact among them, realizing a set of linked displays to browse the data across multiple dimensions 
 +    * The project should be submitted as a Git repository 
 +    * The project report should be submitted 4 days before the discussion and should discuss at least the following points: 
 +      * Description of data and presentation of the pattern or model to communicate 
 +      * design choices: colors, interactions, shapes, transformations) 
 +      * state-of-art: similar tools or interfaces for the same problem 
 +      * Detailed description of the visualization with a description of the interaction 
 +      * use case example for an analytical task 
 + 
 +The student may choose one of the following project proposals. She/he can also propose an additional topic. In this case, a project proposal should be submitted for approval, containing a description of the data, a sketch of the possible visualization, and the motivation for the project. 
 + 
 +=== VAST Challenge 2023 :!: **new**=== 
 +The project assignment for the exam consists of the realization of a web application addressing data and mini-challenges presented for the VAST challenge 2023 (https://vast-challenge.github.io/2023/description.html). Each student may choose one of the mini-challenges to build a visual interface that answers the proposed questions (see the list on the corresponding page on the VAST website).  
 + 
 + 
  
-For your reference, the project report should discuss at least the following points: 
-  * Description of data and presentation of the pattern or model to communicate 
-  * design choices: colors, interactions, shapes, transformations) 
-  * state-of-art: similar tools or interfaces for the same problem 
-  * detailed description of the visualization with description of interaction 
-  * use case example for an analytical task 
  
 ==== Next Exams ==== ==== Next Exams ====
-  * **2017-09-11**: Deadline to submit report and repository of the code is 2017-09-07 +  * 
-  * <del>**2017-06-19**: Deadline to submit report and repository of the code is 2017-06-15</del> +
-  * <del>**2017-07-04**: Deadline to submit report and repository of the code is 2017-06-29</del> +
-  * <del>**2017-07-20**: Deadline to submit report and repository of the code is 2017-07-17</del>+
  
 ===== Textbooks ===== ===== Textbooks =====
 +  * Visual Analytics for Data Scientists. Natalia Andrienko, Gennady Andrienko, Georg Fuchs, Aidan Slingsby, Cagatay Turkay, Stefan Wrobel. Springer, 2020. ISBN: 978-3-030-56146-8 
   * [[http://www.vismaster.eu/news/mastering-the-information-age/|VisMaster - Mastering the information age]]   * [[http://www.vismaster.eu/news/mastering-the-information-age/|VisMaster - Mastering the information age]]
-  * Processing: a programming handbook for visual designers and artists . Casey Reas, Ben Fry. MIT Press, 2007 
   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.
   * Interactive Data Visualization for the Web, Scott Murray, O'Reilly Atlas, 2013   * Interactive Data Visualization for the Web, Scott Murray, O'Reilly Atlas, 2013
 +  * 
 ===== Useful Resources ===== ===== Useful Resources =====
   * Tools   * Tools
-    * [[http://www.openprocessing.org/classroom/4698| OpenProcessing Classroom]] 
-    * [[http://processing.org|Processing.org]] 
     * [[http://d3js.org|D3 Javascript Library]]     * [[http://d3js.org|D3 Javascript Library]]
-    * [[http://piktochart.com/|PiktoChart]] +    * [[https://vuejs.org/| Vue.js Framework]] 
-    * [[http://jsbin.com/|JS Bin]]+    * [[https://nodejs.org/| Node.js]]
   * Reading Material   * Reading Material
     * [[http://www.slideshare.net/AmandaMakulec/data-visualization-resource-guide-september-2014|Data Visualization Resources (on Slideshare)]]     * [[http://www.slideshare.net/AmandaMakulec/data-visualization-resource-guide-september-2014|Data Visualization Resources (on Slideshare)]]
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     * [[http://www.informationisbeautiful.net/]]     * [[http://www.informationisbeautiful.net/]]
     * [[http://visualoop.com/]]     * [[http://visualoop.com/]]
-    * [[http://www.openprocessing.org/]] 
-    * [[https://www.flickr.com/groups/processing/|Set of images of Processing artwork on Flickr]] 
-  * Processing libraries 
-    * [[http://www.sojamo.de/libraries/controlP5/|Extends sketches with toolbar]] 
-    * [[http://toxiclibs.org/|Utilities]] 
-    * [[http://unfoldingmaps.org/|Mapping library]] 
- 
-==== Other resources ==== 
-  * [[http://dati.toscana.it|Open Data Tuscany Region]] 
-  * [[http://riccomini.name/posts/game-time-baby/|Sport results]] 
-  * [[http://yahoolabs.tumblr.com/post/89783581601/one-hundred-million-creative-commons-flickr-images|Flickr Images dataset]] 
-  * [[http://www.yelp.com/dataset_challenge]] 
-  * [[http://socialcomputing.asu.edu/pages/datasets]] 
-  * [[http://networkrepository.com/]] 
-  * [[http://chriswhong.com/open-data/foil_nyc_taxi/]] 
-  * [[http://www.sociopatterns.org/datasets/]] 
-  * [[http://konect.uni-koblenz.de/]] 
-  * [[http://snap.stanford.edu/data/|Stanford Large Network Dataset Collection]] 
  
 +  
 ===== Class Calendar ===== ===== Class Calendar =====
  
-All exercizes and code discussed during each lesson are available as a Git repository at: +All exercises and code discussed during each lesson are available as a Git repository at: 
-https://github.com/rinziv/VA2017 +https://github.com/va602aa-master
- +
- +
-^ ^ Day ^ Aula ^ Topic ^ Learning material ^ +
-|1.| 19.02.2018 14:00-16:00 | N1 | Intro: Visual Analytics Process; | {{ :magistraleinformaticaeconomia:va:2018:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) | +
-|  | 23.02.2018 14:00-16:00 | -- | No lesson today |  | +
-|2.| 26.02.2018 14:00-16:00 | N1 | Intro: Visual Analytics Process; | {{ :magistraleinformaticaeconomia:va:2018:va_lesson2_vision_perception.pdf |Slides}}  | +
-|3.| 02.03.2018 14:00-16:00 | C1 | Development Environment setup: Node.js, NPM, GIT | {{ :magistraleinformaticaeconomia:va:2018:va_lesson3_nodejs_npm_git.pdf |Slides}}  | +
-|4.| 06.03.2018 11:00-13:00 | N1 | Visual Variables | {{ :magistraleinformaticaeconomia:va:2018:va_lesson4_visualvariables.pdf |Slides}}  | +
-|  | 09.03.2018 14:00-16:00 | -- | No lesson today |  | +
-|5.| 12.03.2018 14:00-16:00 | N1 | Introduction to HTML, CSS, Javascript | {{ :magistraleinformaticaeconomia:va:2018:va_lesson5_html_css_js.pdf |Slides}}  | +
-|6.| 13.03.2018 11:00-13:00 | L1 | Introduction to SVG | {{ :magistraleinformaticaeconomia:va:2018:va_lesson6_svg.pdf |Slides}}  | +
-|  | 16.03.2018 14:00-16:00 | -- | No lesson today |  | +
-|7.| 19.03.2018 14:00-16:00 | N1 | Introduction to D3.js | {{ :magistraleinformaticaeconomia:va:2018:va_lesson7_d3js_intro.pdf |Slides}}  | +
-===== GITHub repository ===== +
-All source code of exercises are available at the URL: https://github.com/VA602AA-master +
  
 +A collection of Observable Notebooks are available at https://observablehq.com/collection/@rinziv/va602aa
  
 +Recordings of lessons on Microsoft Teams are accessible within the channel of the course.
  
 +| ^ Day ^ Topic ^ Learning material ^
 +^ 01| 2024/02/19 | Intro: Visual Analytics Process; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) |
 +^ 02| 2024/02/20 | Vision and Perception; |{{ :magistraleinformaticaeconomia:va:2023:va_lesson2_vision_perception.pdf | Slides}} |
 +^ 03| 2024/02/26 | Visual Variables; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson3_visual_variables.pdf | Slides}} |
 +^ 04| 2024/02/27 | HTML, CSS, SVG | {{ :magistraleinformaticaeconomia:va:2024:va_lesson4_html_css_js.pdf |}}|
 +^ 05| 2024/03/04 | Colors and Color Schemes |{{ :magistraleinformaticaeconomia:va:2024:va_lesson5_colors.pdf | Slides}} |
 +^ 06| 2024/03/05 | NPM, GIT and Vue.js | {{ :magistraleinformaticaeconomia:va:2024:va_lesson2_nodejs_npm_git.pdf |Slides}} | |
 +^ 07| 2024/03/11 | Chart Taxonomy | {{ :magistraleinformaticaeconomia:va:2024:va_lesson6_charting_taxonomy.pdf | Slides}}|
 +^ 08| 2024/03/12 | Intro to D3.js |{{ :magistraleinformaticaeconomia:va:2024:va_lesson9_d3js_intro.pdf |Slides}}; {{https://observablehq.com/@rinziv/my-first-d3-js-visualization|Notebook}}   |
 +^ 9      | 2024-03-18 | Scales                  |{{ :magistraleinformaticaeconomia:va:2024:va_lesson7_scales.pdf |Slides}}   |
 +^ 10     | 2024-03-19 | Project assignment      |          |
 +^ 11     | 2024-03-25 | Hierachies              | {{ :magistraleinformaticaeconomia:va:2024:va_lesson12_hierarchies.pdf |Slides}}         |
 +^ 12     | 2024-03-26 | Reusable modules D3     | {{ :magistraleinformaticaeconomia:va:2024:va_lesson11_reusable_modules.pdf | Slides}} {{https://observablehq.com/d/285170fc02253579 |Notebook }}  |
 +|        | 2024-04-01 | No lesson               | -------- |
 +|        | 2024-04-02 | No lesson               |          |
 +^ 13     | 2024-04-08 | Networks                | {{ :magistraleinformaticaeconomia:va:2024:va_lesson12_networks.pdf | Slides}} |
 +|        | 2024-04-09 | No lesson               | -------- |
 +|        | 2024-04-15 | No lesson               | -------- |
 +|        | 2024-04-16 | No lesson               | -------- |
 +^ 14     | 2024-04-22 | Geographic data         |          |
 +^ 15     | 2024-04-23 | VAST Project            |          |
 +^ 16     | 2024-04-29 | Geographic data         |          |
 +^ 17     | 2024-04-30 | VAST Project            |          |
 +^ 18     | 2024-05-06 | Visual Story telling    | Slides   |
 +^ 19     | 2024-05-07 | VAST Project            |          |
 +^ 20     | 2024-05-13 | VAST Project            |          |
 +^ 21     | 2024-05-15 | VAST Project            |          |
 ===== Previous Editions ===== ===== Previous Editions =====
-  * [[magistraleinformaticaeconomia:va:Course2015]] +  * [[magistraleinformaticaeconomia:va:Course2023]] 
-  * [[magistraleinformaticaeconomia:va:Course2016]]+  * [[magistraleinformaticaeconomia:va:Course2022]] 
 +  * [[magistraleinformaticaeconomia:va:Course2021]] 
 +  * [[magistraleinformaticaeconomia:va:Course2020]] 
 +  * [[magistraleinformaticaeconomia:va:Course2019]] 
 +  * [[magistraleinformaticaeconomia:va:Course2018]]
   * [[magistraleinformaticaeconomia:va:Course2017]]   * [[magistraleinformaticaeconomia:va:Course2017]]
 +  * [[magistraleinformaticaeconomia:va:Course2016]]
 +  * [[magistraleinformaticaeconomia:va:Course2015]]
 +
 +
magistraleinformaticaeconomia/va/start.1523958408.txt.gz · Ultima modifica: 17/04/2018 alle 09:46 (6 anni fa) da Salvatore Rinzivillo

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