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magistraleinformaticaeconomia:va:start

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magistraleinformaticaeconomia:va:start [17/04/2018 alle 11:46 (7 anni fa)] – [Class Calendar] Salvatore Rinzivillomagistraleinformaticaeconomia:va:start [30/05/2025 alle 07:47 (5 settimane fa)] (versione attuale) – [Next Exams] Salvatore Rinzivillo
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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%3AySCF-pb5z22vNq2oSroKWz-ejSxNTyzEG0egi-BPrHo1%40thread.tacv2/conversations?groupId=4094af8b-f2f0-4d2f-a38f-72e2a8adb25e&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 +  * Wednesday, 11:00 - 13:00, Room M1 
-  * Friday, 14:00 - 16:00, Aula C1 Polo Fibonacci+  * Friday, 11:00 - 13:00, Room M1
  
 ===== 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/+6PTkOzAWcWswMWI8 
-  * **[new]** The lesson planned on April 16, will be moved on April 17th 16-18, room L1 +   * :!: **March 21** Today the class will start at 11:30 (instead of the usual 11:15)    
-  * **[new]** The lesson planned on April 13, will be anticipated on April 12th 11-13, room O +   * **February 19** The start of the course has been postponed due to the teacher being affected by the flu. Lessons will commence on February 26th.
-  * 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 ==== 
 + 
 +The final 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. 
 + 
 +=== Final Exam Project Assignment: VAST Challenge 2024 Datasets === 
 + 
 + 
 +**Objective:**   
 +For your final exam, you will engage with synthetic yet realistic datasets from the VAST Challenge 2024. Your task is to develop a visual analytics solution that addresses specific research questions posed in one of the mini-challenges (MiniChallenge 2 or MiniChallenge 3). 
 + 
 +==== Overview: ==== 
 + 
 +The datasets for this project are synthetic representations of network graph structures, where entities are depicted as nodes and events or relationships among these entities as edges. Your goal is to analyze these data to uncover insights by answering the research questions provided in the selected MiniChallenge. 
 + 
 +==== Assignment Details: ==== 
 + 
 +**Dataset Selection:** 
 +   - Choose one of the following MiniChallenges: 
 +     - [MiniChallenge 2](https://vast-challenge.github.io/2024/MC2.html) 
 +     - [MiniChallenge 3](https://vast-challenge.github.io/2024/MC3.html) 
 + 
 +**Data Understanding:** 
 +   - Familiarize yourself with the synthetic dataset, understanding its structure, nodes (entities), and edges (relationships/events). 
 +   - Identify key characteristics of the network, such as node types, edge types, and any metadata provided. 
 + 
 +**Research Questions:** 
 +   - Review the research questions posed by the selected MiniChallenge. 
 +   - Your visual analytics solution should address all the questions posed by the challenge. 
 + 
 +**Visual Analytics Solution:** 
 +   - Design and implement a visual analytics system tailored to explore the data effectively in response to the chosen research question(s). 
 +   - Utilize appropriate visualization techniques (e.g., graph layouts, node-link diagrams) to represent the network structure clearly. 
 +   - Incorporate interactive elements to enable dynamic exploration of the dataset. 
 +   - You can preprocess, transform, and prepare the given data in the format that is most appropriate for your visual design 
 + 
 +**Analysis and Insights:** 
 +   - Conduct an analysis using your visual analytics solution to address the selected research question(s). 
 +   - Document any insights or patterns discovered during your exploration that relate directly to the research questions. 
 + 
 + 
  
-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 +  * June 9th (submit your project and report by June 5th) 
-  * <del>**2017-06-19**: Deadline to submit report and repository of the code is 2017-06-15</del> +  * June 30th (submit your project and report by June 26th) 
-  * <del>**2017-07-04**: Deadline to submit report and repository of the code is 2017-06-29</del> +  * July 22th (submit your project and report by July 17th)
-  * <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]]+
  
 +{{ :magistraleinformaticaeconomia:va:2025:va_lesson16_storytelling.pdf |}}
 ===== 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}}<html><br/></html> {{https://github.com/VA602AA-master/First-Project |GitHub - First project}} <html><br/></html>{{https://github.com/VA602AA-master/first-d3|GitHub First-D3}} | +
-^8.| 23.03.2018 14:00-16:00 | C1 | Do and Donts. Examples and case studies | {{ :magistraleinformaticaeconomia:va:2018:va_lesson8_doanddonts.pdf |Slides}} | +
-^9.| 26.03.2018 14:00-16:00 | N1 | First examples with D3 | {{https://github.com/VA602AA-master/lines|GitHub Lines}} | +
-|  | Spring break           |    | No lessons - Assignment: implement //lines// project with other shapes|  +
-^10.| 12.04.2018 14:00-16:00 | O | Project assignement; Color Models | {{ :magistraleinformaticaeconomia:va:2018:va_lesson9_colors.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| 2025/02/26 | Intro: Visual Analytics Process; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) |
 +^ 02| 2025/02/28 | Vision and Cognition; |{{ :magistraleinformaticaeconomia:va:2025:va_lesson2_vision_perception.pdf | Slides}} |
 +^ 03| 2025/03/05 | Visual Variables; | {{ :magistraleinformaticaeconomia:va:2025:va_slide_03_visual-variables-slides.pdf | Slides}} |
 +^ 04| 2025/03/07 | Introduction to Python Altair Library | {{ :magistraleinformaticaeconomia:va:2025:va_slide_04_vegaaltair.pdf | Slides}}; {{https://altair-viz.github.io/index.html| website}} |
 +^ 05| 2025/03/12 | Color Models | {{ :magistraleinformaticaeconomia:va:2025:va_lesson5_colors.pdf | Slides}} |
 +^ | 2025/03/14 | No lesson | --  |
 +^ 06| 2025/03/19 | Toolbox: HTML, CSS, JS | {{ :magistraleinformaticaeconomia:va:2025:va_lesson6_html_css_js.pdf | Slides}} |
 +^ 07| 2025/03/21 | NPM, GIT and Vue.js | {{ :magistraleinformaticaeconomia:va:2025:va_lesson7_nodejs_npm_git.pdf | Slides}} |
 +^ | 2025/03/26 | No lesson | --  |
 +^ | 2025/03/28 | No lesson | --  |
 +^ 08| 2025/04/02 | Chart Taxonomy | {{ :magistraleinformaticaeconomia:va:2025:va_lesson8_charting_taxonomy.pdf | Slides}} |
 +^ 09| 2025/04/04 | Intro to D3.js |  |
 +^ | 2025/04/09 | No lesson | --  |
 +^ | 2025/04/11 | No lesson | --  |
 +^ 10| 2025/04/16 | Scale functions | {{ :magistraleinformaticaeconomia:va:2025:va_lesson10_scales.pdf | Slides}}; {{https://observablehq.com/@d3/introduction-to-d3s-scales | Notebook}}  |
 +^ 11| 2025/04/23 | Question and answering | --  |
 +^ | 2025/04/30 | Scale functions (cont.d) | {{ :magistraleinformaticaeconomia:va:2025:va_lesson10_scales.pdf | Slides}}; {{https://observablehq.com/@d3/quantile-quantize-and-threshold-scales | Notebook}}  |
 +^ 12| 2025/05/07 | Hierachical Data | {{ :magistraleinformaticaeconomia:va:2025:va_lesson12_hierarchies.pdf | Slides}}  |
 +^ 13| 2025/05/09 | Modular Programming in D3 and Javascript| {{https://observablehq.com/d/f9a177396c890d21| Notebook}} | 
 +^ 14| 2025/05/14 | Geographic Data | {{ :magistraleinformaticaeconomia:va:2025:va_lesson14_geography.pdf | Slides}}  |
 +^ 15| 2025/05/16 | Geography in D3  | {{https://observablehq.com/@rinziv/geographic-data| Notebook}}  |
 +^ 16| 2025/05/21 | Visual Storytelling | {{ :magistraleinformaticaeconomia:va:2025:va_lesson16_storytelling.pdf | Slides}}  |
 +^ 17| 2025/05/23 | VAST 2008 - Project  | {{https://github.com/VA602AA-master/VC2018 | GitHUB Repository}}  |
 +^ 18| 2025/05/28 | VAST 2008 - Project (cont.d) |  |
 +^ 19| 2025/05/30 | VAST 2008 - Project (cont.d) |  |
 ===== Previous Editions ===== ===== Previous Editions =====
-  * [[magistraleinformaticaeconomia:va:Course2015]] +  * [[magistraleinformaticaeconomia:va:Course2024]] 
-  * [[magistraleinformaticaeconomia:va:Course2016]]+  * [[magistraleinformaticaeconomia:va:Course2023]] 
 +  * [[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.1523965601.txt.gz · Ultima modifica: 17/04/2018 alle 11:46 (7 anni fa) da Salvatore Rinzivillo
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