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magistraleinformaticaeconomia:va:start

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magistraleinformaticaeconomia:va:start [12/04/2018 alle 08:44 (17 mesi fa)]
Salvatore Rinzivillo [News]
magistraleinformaticaeconomia:va:start [04/03/2019 alle 12:59 (6 mesi fa)] (versione attuale)
Salvatore Rinzivillo [Class Calendar]
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 ===== Schedule ===== ===== Schedule =====
-  * Monday, ​14:00 - 16:00, Aula N1 Polo Fibonacci +  * Monday, ​16:00 - 18:00, Aula N1 Polo Fibonacci 
-  * Friday, 14:00 - 16:00, Aula C1 Polo Fibonacci+  * Friday, 14:00 - 16:00, Aula V1 Polo Fibonacci
  
 ===== 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]** The new edition is starting on Monday ​18th February ​2019 at 16:00 in Aula N1
-  * **[new]** The lesson planned on April 13, will be anticipated on April 12th 11-13, room O +
-  * 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 =====
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 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 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.
  
-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 
  
 +==== 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 (plotly, 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)
 +  * Interactivity should be implemented,​ providing toolbars, selections and filters for the data.
 +  * The visual widget should interact among them, realising a set of linked display 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 description of 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 XXXX (TBA) ===
 +The project assignment for the exam consist in the realisation of a web application addressing data and mini challenges presented for the VAST challenge XXXX (http://​www.vacommunity.org/​VAST+Challenge+XXXX). The general contest of the challenge asks to analyse and explain the possible causes of pollutants spreading in a natural park, threatening the survival of a bird species in the park. 
 +
 +
 +
 +=== Didactic Data Mining ===
 +This is a project that requires to implement a module with visual interface to explore and manage the project __Didactic Data Mining__ developed within the course of Data Mining. ​
 +The module is implemented in Python and provides a RESTful interface to create an experiment, to insert a dataset and to follow the evolution of a data mining algorithm on the dataset.
 +== Rules ==
 +     * The students should select a data mining algorithm after a preliminary discussion with the project manager (Prof Monreale)
 +     * The requirements of the project are discussed in this extended committe. The student is autonoums in developing and proposing the visual interface
 +     * From a technical point of view, a few constrains are already set:
 +       * The project should be developed within the GitHub platform, accessing the repository of the main Project (it will be created a branch dedicated to the student)
 +       * The interfaces and data schema of the whole project are fixed and cannot be changed (any modification should be discussed)
 +       * The module developed by the student should conform the code quality rules already set (linting, testing, etc.)
 +       * The project uses the Vue.js framework for developing the application ​
 +
 +=== Network Diffusion Library ===
 +This is a project that requires to extend the visual interface of the __NDLib - Network Diffusion Library__ developed within the KDDLab. ​
 +The core library is implemented in Python and provides a RESTful interface to create an experiment, to insert a network and to execute a diffusion simulation over the network.
 +== Rules ==
 +  * The students should select one task to extent the interface, after a preliminary discussion with the project managers (Rossetti, Milli, Rinzivillo)
 +  * The requirements of the project are discussed in this extended committe. The student is autonoums in developing and proposing the visual interface
 +  * From a technical point of view, a few constrains are already set:
 +    * The project should be developed within the GitHub platform, accessing the repository of the main Project (it will be created a branch dedicated to the student)
 +    * The interfaces and data schema of the whole project are fixed and cannot be changed (any modification should be discussed)
 +    * The module developed by the student should conform the code quality rules already set (linting, testing, etc.)
 +    * The project uses the Vue.js framework for developing the application ​
 ==== 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 =====
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 ===== 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-2019
  
  
-^ Day ^ Aula ^ Topic ^ Learning material ^ +^ 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) | +^012019/02/18 16:00-18:00 | N1 | Intro: Visual Analytics Process; | {{ :​magistraleinformaticaeconomia:​va:​2019:​va_lesson1_introcourse.pdf |Slides}} ; VisMaster Book (Chapter 2) | 
- | 23.02.2018 14:00-16:00 | -- No lesson today |  | +^ 02 2019/02/22 14:00-16:00 | V1 Node.js, NPM, Vue.js, GIT | {{:​magistraleinformaticaeconomia:​va:​2019:VA_Lesson2_nodejs_npm_git.pdf|Slides}} | 
-|2.| 26.02.2018 14:00-16:00 | N1 | Intro: Visual Analytics Process; ​| {{ :​magistraleinformaticaeconomia:​va:​2018:va_lesson2_vision_perception.pdf |Slides}} ​ +^ 03 2019/02/25 16:00-18:00 | N1 VisionPerception and effective visualization ​| {{:​magistraleinformaticaeconomia:​va:​2019:VA_Lesson3_vision_perception.pdf|Slides}} | 
-|3.| 02.03.2018 14:00-16:00 | C1 Development Environment setup: Node.jsNPM, GIT | {{ :​magistraleinformaticaeconomia:​va:​2018:va_lesson3_nodejs_npm_git.pdf |Slides}} ​ +^ 04 2019/03/01 14:00-16:00 | V1 Introduction to HTML, CSS, Javascript ​| {{:​magistraleinformaticaeconomia:​va:​2019:VA_Lesson4_html_css_js.pdf|Slides}} | 
-|4.| 06.03.2018 11:00-13:00 | N1 Visual Variables ​| {{ :​magistraleinformaticaeconomia:​va:​2018:va_lesson4_visualvariables.pdf |Slides}} ​ +^ 05 2019/03/04 16:00-18:00 | N1 | Chart TaxonomyDO and Don't examples ​| {{:​magistraleinformaticaeconomia:​va:​2019:VA_Lesson5_doanddonts.pdf| Slides}} | 
- | 09.03.2018 14:00-16:00 -- | No lesson today |  | +^ 06 2019/03/08 14:00-16:00 | V1 Intro to SVG and D3.js | {{:​magistraleinformaticaeconomia:​va:​2019:VA_Lesson6_svg.pdf|Slides}}; {{:magistraleinformaticaeconomia:va:​2019:​VA_Lesson6_d3js_intro.pdf|Slides}} ​| 
-|5.| 12.03.2018 14:00-16:00 | N1 | Introduction to HTMLCSS, 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 |  ​|+
 ===== GITHub repository ===== ===== GITHub repository =====
-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-2019
  
  
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 ===== Previous Editions ===== ===== Previous Editions =====
-  * [[magistraleinformaticaeconomia:​va:​Course2015]] +  * [[magistraleinformaticaeconomia:​va:​Course2018]]
-  * [[magistraleinformaticaeconomia:​va:​Course2016]]+
   * [[magistraleinformaticaeconomia:​va:​Course2017]]   * [[magistraleinformaticaeconomia:​va:​Course2017]]
 +  * [[magistraleinformaticaeconomia:​va:​Course2016]]
 +  * [[magistraleinformaticaeconomia:​va:​Course2015]]
 +
 +
magistraleinformaticaeconomia/va/start.1523522640.txt.gz · Ultima modifica: 12/04/2018 alle 08:44 (17 mesi fa) da Salvatore Rinzivillo