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--- magistraleinformaticaeconomia:va:start [23/04/2025 alle 07:52 (7 settimane fa)] – [Class Calendar] Salvatore Rinzivillo
+++ magistraleinformaticaeconomia:va:start [30/05/2025 alle 07:47 (2 settimane fa)] (versione attuale) – [Next Exams] Salvatore Rinzivillo
@@ Linea 27: / Linea 27: @@
 ==== Project assignment ====
-  * A project should have the following requirements:
+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).
@@ Linea 42: / Linea 43: @@
 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.
@@ Linea 48: / Linea 84: @@
 ==== 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 =====
@@ Linea 74: / Linea 112: @@
+{{ :magistraleinformaticaeconomia:va:2025:va_lesson16_storytelling.pdf |}}
 ===== Class Calendar =====
@@ Linea 98: / Linea 137: @@
 ^ | 2025/04/09 | No lesson | --  |
 ^ | 2025/04/11 | No lesson | --  |
-^ 10| 2025/04/16 | Scale functions | --  |
+^ 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 | Scale functions (cont.d) | --  |
+^ 11| 2025/04/23 | Question and answering | --  |
-^ 12| 2025/04/30 |  | --  |
+^ | 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}}  |
-^ 13| 2025/05/07 |  | --  |
+^ 12| 2025/05/07 | Hierachical Data | {{ :magistraleinformaticaeconomia:va:2025:va_lesson12_hierarchies.pdf | Slides}}  |
-^ 14| 2025/05/09 |  | --  |
+^ 13| 2025/05/09 | Modular Programming in D3 and Javascript| {{https://observablehq.com/d/f9a177396c890d21| Notebook}} |
-^ 15| 2025/05/14 |  | --  |
+^ 14| 2025/05/14 | Geographic Data | {{ :magistraleinformaticaeconomia:va:2025:va_lesson14_geography.pdf | Slides}}  |
-^ 16| 2025/05/16 |  | --  |
+^ 15| 2025/05/16 | Geography in D3  | {{https://observablehq.com/@rinziv/geographic-data| Notebook}}  |
-^ 17| 2025/05/21 |  | --  |
+^ 16| 2025/05/21 | Visual Storytelling | {{ :magistraleinformaticaeconomia:va:2025:va_lesson16_storytelling.pdf | Slides}}  |
-^ ??| 2025/05/23 (09:00 - 11:00) |  | --  |
+^ 17| 2025/05/23 | VAST 2008 - Project  | {{https://github.com/VA602AA-master/VC2018 | GitHUB Repository}}  |
-^ 18| 2025/05/23 |  | --  |
+^ 18| 2025/05/28 | VAST 2008 - Project (cont.d) |  |
-^ 19| 2025/05/28 |  | --  |
+^ 19| 2025/05/30 | VAST 2008 - Project (cont.d) |  |
-^ ??| 2025/05/30  (09:00 - 11:00)|  | --  |
-^ 20| 2025/05/30 |  | --  |
 ===== Previous Editions =====
   * [[magistraleinformaticaeconomia:va:Course2024]]