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magistraleinformaticaeconomia:va:start [22/03/2021 alle 13:29 (3 anni fa)]
Salvatore Rinzivillo [GITHub repository]
magistraleinformaticaeconomia:va:start [26/03/2024 alle 13:11 (2 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, 16:15 - 18:00, Microsoft Teams +  * Monday, 16:00 - 18:00, Room C 
-  * Friday16:15 18:00, Microsoft Teams+  * Tuesday14:00 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  
-   **2021-03-22today's class is canceled, due to an urgent commitmentLet's meet on Friday 26th** +   New link for the Telegram Channel: https://t.me/+6PTkOzAWcWswMWI8  
-   * The new edition is starting on Monday 15th February 2021 at 16:15 on the Microsoft Teams channel+   * The new edition is starting on Monday 19th February 2024 at 16:00 in Room A
  
 ===== Exams ===== ===== Exams =====
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 Planned dates: Planned dates:
-  * TBA+  * Please log on to the portal for registration to get the next dates
  
  
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   * A project should have the following requirements:   * 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     * 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, nvd3, etc). It is a plus to implement a novel, original visualization to present the data in a creative, non-trivial way. (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.+    * 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.     * 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 visual widget should interact among them, realizing a set of linked displays to browse the data across multiple dimensions
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 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. 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). 
 +
 +
 +
  
  
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 ===== 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]]
   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.   * Design for Information. Isabel Meirelles, Rockport Publisher,2013.
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   * Tools   * Tools
     * [[http://d3js.org|D3 Javascript Library]]     * [[http://d3js.org|D3 Javascript Library]]
 +    * [[https://vuejs.org/| Vue.js Framework]]
 +    * [[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]] 
-   
-==== 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 exercises 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/va602aa-2020+https://github.com/va602aa-master
  
 A collection of Observable Notebooks are available at https://observablehq.com/collection/@rinziv/va602aa A collection of Observable Notebooks are available at https://observablehq.com/collection/@rinziv/va602aa
  
-Recordings of lessons on Microsoft Teams are accessible here: +Recordings of lessons on Microsoft Teams are accessible within the channel of the course.
-https://web.microsoftstream.com/channel/a6b5e3aa-623d-435e-8601-419537901839 \\ +
-Follow the channel to be updated when new videos are published. +
- +
- +
-| ^ Day ^ Aula ^ Topic ^ Learning material ^ +
-^ 01| 2021/02/15 16:15-18:00 | MsTeams | Intro: Visual Analytics Process; |{{ :magistraleinformaticaeconomia:va:2021:va_lesson1_introcourse.pdf | Slides}} ; VisMaster Book (Chapter 2) | +
-^ 02 | 2021/02/19 16:15-18:00 | MsTeams | Node.js, NPM, Vue.js, GIT | {{ :magistraleinformaticaeconomia:va:2021:va_lesson2_nodejs_npm_git.pdf | Slides}} | +
-^ 03 | 2021/02/22 16:15-18:00 | MsTeams | Vision, Perception and effective visualization | {{ :magistraleinformaticaeconomia:va:2021:va_lesson3_vision_perception.pdf | Slides }} | +
-^ 04 | 2021/02/26 16:15-18:00 | MsTeams | Introduction to HTML, CSS, Javascript | {{ :magistraleinformaticaeconomia:va:2021:va_lesson4_html_css_js.pdf | Slides}} | +
-^ 05 | 2021/03/01 16:15-18:00 | MsTeams | Taxonomy of Visual Variables (continued from lesson 3) | {{ :magistraleinformaticaeconomia:va:2021:va_lesson3_vision_perception.pdf | Slides (from lesson 3) }} | +
-^ 06 | 2021/03/05 16:15-18:00 | MsTeams | Introduction to SVG | {{ :magistraleinformaticaeconomia:va:2021:va_lesson6_svg.pdf | Slides}} | +
- +
-===== GITHub repository ===== +
-All source code of exercises are available at the URL: https://github.com/va602aa-2021 +
- +
- +
  
 +| ^ 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               | -------- |
 +^ 13     | 2024-04-02 | Altair/Vega Lite        |          |
 +^ 14     | 2024-04-08 | Networks                |          |
 +|        | 2024-04-09 | No lesson               | -------- |
 +|        | 2024-04-15 | No lesson               | -------- |
 +|        | 2024-04-16 | No lesson               | -------- |
 +^ 15     | 2024-04-22 | Geographic data                  |
 +^ 16     | 2024-04-23 | VAST Project            |          |
 +^ 17     | 2024-04-29 | Geographic data                  |
 +^ 18     | 2024-04-30 | VAST Project            |          |
 +^ 19     | 2024-05-06 | Visual Story telling    | Slides   |
 +^ 20     | 2024-05-07 | VAST Project            |          |
 ===== Previous Editions ===== ===== Previous Editions =====
 +  * [[magistraleinformaticaeconomia:va:Course2023]]
 +  * [[magistraleinformaticaeconomia:va:Course2022]]
 +  * [[magistraleinformaticaeconomia:va:Course2021]]
   * [[magistraleinformaticaeconomia:va:Course2020]]   * [[magistraleinformaticaeconomia:va:Course2020]]
   * [[magistraleinformaticaeconomia:va:Course2019]]   * [[magistraleinformaticaeconomia:va:Course2019]]
magistraleinformaticaeconomia/va/start.1616419749.txt.gz · Ultima modifica: 22/03/2021 alle 13:29 (3 anni fa) da Salvatore Rinzivillo