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magistraleinformaticaeconomia:va:start

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magistraleinformaticaeconomia:va:start [20/02/2026 alle 10:40 (6 mesi fa)] – [News] Salvatore Rinzivillomagistraleinformaticaeconomia:va:start [24/06/2026 alle 07:56 (7 settimane fa)] (versione attuale) – [Project assignment] Salvatore Rinzivillo
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 ==== Quick access links ==== ==== 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+  * MS Teams Channel: https://teams.microsoft.com/l/team/19%3A1ZTsvu9uzKVbLmT2k1ciZalFtJDDUMuSeP4o-jm0kyw1%40thread.tacv2/conversations?groupId=ca5c9820-6967-4058-b18a-1ceee2ef8827&tenantId=c7456b31-a220-47f5-be52-473828670aa1
   * Telegram channel: https://t.me/+6PTkOzAWcWswMWI8   * Telegram channel: https://t.me/+6PTkOzAWcWswMWI8
   * All source code of exercises are available at the URL: https://github.com/va602aa-master   * All source code of exercises are available at the URL: https://github.com/va602aa-master
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 ===== Schedule ===== ===== Schedule =====
   * Monday, 14:00 - 16:00, Room C1   * Monday, 14:00 - 16:00, Room C1
-  * Thursday, 11:00 - 13:00, Room L1+  * Thursday, 16:00 - 18:00, Room C1 <del>11:00 - 13:00, Room L1</del>
  
 +Given the conflict of schedule with other course, please vote for your preferred alternative slots for our Monday and Thursday lessons at the link shared in the telegram channel.
 ===== News ===== ===== News =====
 To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/+6PTkOzAWcWswMWI8 To keep updated with the last news of the course, subscribe at the Telegram channel: https://t.me/+6PTkOzAWcWswMWI8
-   +   2026-02-26: Due to the flu, today's lesson is cancelled. 
 +   * 2026-02-26: from March 5th, the lesson will be held from 4 PM to 6 PM, in Room C1
 ===== 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]]. 
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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.
  
-=== Final Exam Project Assignment: VAST Challenge 2024 Datasets ===+=== Final Exam Project Assignment: VAST Challenge 2025 === 
 +This year assignment is using one of the Mini Challenges of the VAST 2025 
 +https://vast-challenge.github.io/2025/index.html
  
  
-**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. 
- 
- 
- 
- 
- 
-==== Next Exams ==== 
-  * June 9th (submit your project and report by June 5th) 
-  * June 30th (submit your project and report by June 26th) 
-  * July 22th (submit your project and report by July 17th) 
  
 ===== Textbooks ===== ===== Textbooks =====
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 | ^ Day ^ Topic ^ Learning material ^ | ^ Day ^ Topic ^ Learning material ^
-^ 01| 2026/02/16 | Intro: Visual Analytics Process; |{{ :magistraleinformaticaeconomia:va:2024:va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) | +^ 01| 2026/02/16 | Intro: Visual Analytics Process; | {{ :magistraleinformaticaeconomia:va:2026:va_slide_01_introcourse.pdf | Slides}} ; VisMaster Book (Chapter 2) | 
-^ 02| 2025/02/18 | Vision and Cognition; |{{ :magistraleinformaticaeconomia:va:2025:va_lesson2_vision_perception.pdf | Slides}} |+^ 02| 2026/02/18 | Vision and Cognition; | {{ :magistraleinformaticaeconomia:va:2026:va_lesson2_vision_perception.pdf | Slides}}| 
 +^ 03| 2026/02/23 | Visual Variables; | {{ :magistraleinformaticaeconomia:va:2026:va_slide_03_visual-variables-slides.pdf | Slides}} | 
 +^ --| 2026/02/26 | No lesson |  | 
 +^ 04| 2026/03/02 | Visual Variables in Altair-Viz | {{ :magistraleinformaticaeconomia:va:2026:va_slide_04_vegaaltair.pdf | Slides}} | 
 +^ 05| 2026/03/05 | Project assignment - Classroom project | {{ :magistraleinformaticaeconomia:va:2026:va_slide_05_vastchallenge.pdf | Slides}} {{https://github.com/VA602AA-master/VASTKnowledgeGraphVisualization| GitHub repo}} | 
 +^ --| 2026/03/09 | No lesson |  | 
 +^ 06| 2026/03/12 | Scale Functions | {{ :magistraleinformaticaeconomia:va:2026:va_slide_06_scales.pdf | Slides}}, {{https://observablehq.com/@d3/introduction-to-d3s-scales|Notebook}} | 
 +^ 07| 2026/03/16 | Colors and Color Spaces | {{ :magistraleinformaticaeconomia:va:2026:va_slide_07_colors.pdf | Slides}} | 
 +^ --| 2026/03/19 | No lesson |  | 
 +^ --| 2026/03/23 | No lesson |  | 
 +^ 08| 2026/03/26 | Discussion on Design Challenge 2025 | (No slides), {{https://github.com/VA602AA-master/VASTKnowledgeGraphVisualization | GitHub repo}} | 
 +^ 09| 2026/03/30 | Intro to Node.js, NPM, GIT | {{ :magistraleinformaticaeconomia:va:2026:va_lesson8_nodejs_npm_git.pdf | Slides}} | 
 +^ 10| 2026/04/09 | Discussion on Design Challenge 2025 | (No slides), {{https://github.com/VA602AA-master/VASTKnowledgeGraphVisualization | GitHub repo}} | 
 +^ 11| 2026/04/13 | Chart Taxonomies; Dos and Dont's | {{ :magistraleinformaticaeconomia:va:2026:va_slide_08_dos_and_dont_taxonomy.pdf | Slides}} 
 +^ 12| 2026/04/16 | Introducing D3.js | {{ :magistraleinformaticaeconomia:va:2026:va_lesson12_d3js_intro.pdf | Slides}}, {{https://github.com/VA602AA-master/first-d3-2026 | GitHub Repo }}  | 
 +^ 13| 2026/04/20 | Introducing D3.js (cont.d) | {{ :magistraleinformaticaeconomia:va:2026:va_lesson12_d3js_intro.pdf | Slides}}, {{https://github.com/VA602AA-master/first-d3-2026 | GitHub Repo }}  | 
 +^ 14| 2026/04/23 | Discussion on Design Challenge 2025 | (No slides), {{https://github.com/VA602AA-master/VASTKnowledgeGraphVisualization | GitHub repo}} | 
 +^ 15| 2026/04/27 | Geography and Spatial Data | {{ :magistraleinformaticaeconomia:va:2026:va_lesson_15_geography.pdf | Slides }} {{ :magistraleinformaticaeconomia:va:2026:va_lesson_15_digital_cartography_altair.pdf | Slides}} 
 +^ 16| 2026/04/30 | Modular D3.js | {{ :magistraleinformaticaeconomia:va:2026:va_lesson16_reusable_modules.pdf | Slides}} {{ :magistraleinformaticaeconomia:va:2026:va_lesson16_data_handling.pdf | Slides}} {{https://github.com/VA602AA-master/VASTKnowledgeGraphAPI| Repo1}} {{https://github.com/VA602AA-master/first-d3-2026| Repo2}} | 
 +^ 17| 2026/05/04 | Visual Storytelling | {{ :magistraleinformaticaeconomia:va:va_lesson17_storytelling.pdf | Slides}} 
 +^ 18| 2026/05/07 | D3.js Layouts |   | 
 +^ 19| 2026/05/11 | D3.js Geography and Projections | {{ :magistraleinformaticaeconomia:va:2026:va_lesson19_cartography_d3.pdf | Slides}} {{https://observablehq.com/@rinziv/geographic-data | Notebook}} 
 +^ --| 2026/05/14 | No lesson |   | 
 +^ 20| 2026/05/18 | VAST 2008 Project discussion | {{https://github.com/VA602AA-master/VastChallenge2008 | GitHub Repo }}, {{https://github.com/VA602AA-master/vc2008Vue | Legacy repo }} | 
 +^ --| 2026/05/21 | No Lesson |   | 
 +^ 21| 2026/05/25 | VAST 2008 Project discussion | {{https://github.com/VA602AA-master/VastChallenge2008 | GitHub Repo }}   | 
 +^ 22| 2026/05/28 | Discussion on Design Challenge 2025 | (No slides), {{https://github.com/VA602AA-master/VASTKnowledgeGraphVisualization | GitHub repo}} | 
 + 
 + 
  
 ===== Previous Editions ===== ===== Previous Editions =====
magistraleinformaticaeconomia/va/start.1771584014.txt.gz · Ultima modifica: 20/02/2026 alle 10:40 (6 mesi fa) da Salvatore Rinzivillo

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