====== Data Analytics ======

===== News =====
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 * <wrap em>**Exam 06/09/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1TJDjPm535ohnrouhtWZqU9frZ3oujYxi/view?usp=sharing | here]]

 * <wrap em>**Exam 26/07/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1mhwg_sBAIywPzq8l_DGGPLO-JiRLyICj/view?usp=sharing | here]]

 * <wrap em>**Exam 26/07/2021 update**</wrap>: exam session has been delayet. **New session date: 30/07/2021**.

 * <wrap em>**Exam 28/06/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1XcWAmq7V7LiroEYz70YDVHDeXvV-U5n9/view?usp=sharing | here]]

 * <wrap em>**Exam rules update**</wrap>: students must confirm their presence to the next exam sessions at least 5 days before the exam date. Confirmation must be send to by mail to the teacher, esse3 registration is not sufficient.

 * <wrap em>**Exam 28/06/2021 update**</wrap>: interested students for this session must send a mail to the teacher in order to do the exam.

 * <wrap em>**Exam 22/03/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1WsUAdqixaFd6rdHFRbOqW-X89n5BOY3S/view?usp=sharing | here]]

 * <wrap em>**Exam update (only valid for session date 22th of march 2021) **</wrap>: exam rules are available [[https://docs.google.com/document/d/1WiqSQSDoQeeFMI1wVZ8hZE4zP17Te3u4zXyryqO0y64/edit?usp=sharing | here]]. Note that exam will be done via Webex and students must have Acrobat Reader installed.

 * <wrap em>**Exam update for the 22th of march 2021**</wrap>: exam session is scheduled at **10:00am only in webex**.

 * <wrap em>**Projects update**</wrap>:[[https://docs.google.com/spreadsheets/d/1CefKoxu1HuU1MUSL8WcJRNPE5v9pJuzCpUwy0pfYbcc/edit?usp=sharing|projects list]] has been updated with source code and slides links.

 * <wrap em>**Project discussion update**</wrap>: for the project discussion students have to publish the final code to a public github 
repository (or similar) along with the necessary documnatation (pre-requisite, installation, configuration, usage, etc). Moreover a set of slides have to be presented in that day along with a practical demonstration of the running code. Slides should cover the following points:
  - Project description / objectives
  - Methodology and technology being used
  - Technical implementation
  - Achieved results
  - Possible future improvements

 * <wrap em>**Exam update**</wrap>: an additional exam session has been scheduled for the 22th of march 2021.

 * <wrap em>**Project update**</wrap>: students that are ready to discuss the project are invited to contact the professor to arrange a date for the presentation.

 * <wrap em>**Exam 22/02/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1oLER_782CXNVNzK73hGz8BVw-LCdegvm/view?usp=sharing | here]]

 * <wrap em>**Exam 01/02/2021 update**</wrap>: exam results with the writing vote are available [[https://drive.google.com/file/d/1eSTAMkwks5gwbK0lZ5mFA17PwKTrJG9f/view?usp=sharing | here]]

 * <wrap em>**Exam 01/02/2021 update**</wrap>: exam results are available [[https://drive.google.com/file/d/1eSTAMkwks5gwbK0lZ5mFA17PwKTrJG9f/view?usp=sharing | here]]

 * <wrap em>**Exam update**</wrap>: session confirmed for the 1th of february at 14:00,  AB2 classroom - Polo Ludovici.

 * <wrap em>**Exam rule clarification**</wrap>: online exam session is planned. Interested students have to compile the corresponding [[https://drive.google.com/file/d/1kK9YHkfNvrwpTz2W9QMn7-DFvOdVMHkB/view?usp=sharing|module]].

 * <wrap em>**Exam rule clarification**</wrap>: only students signed on ESSE3 will be allowed to do the exam.

 * <wrap em>**Exam rule clarification**</wrap>: students can do the writing exam and present the project later on.


 * <wrap em>**Avvio rilevazione delle opinioni e della soddisfazione degli studenti, aa 2020/21**</wrap>: students are invaited to submit the survey.


 * <wrap em>**Projects update**</wrap>: projects list updated [[https://drive.google.com/drive/folders/1DGM7r7-1UZ2f5tr8tXzA_aSrbL6FWWk3?usp=sharing | Link]].

 * <wrap em>**No lecture 09/11/2020**</wrap>: lecture suspended.

 * <wrap em>**No lecture 16/10/2020**</wrap>: lecture suspended.

 * <wrap em>**Course start**</wrap>: the first lesson is planned for 2th of October 2020, at Polo Ludovici (LB1) - online streaming via webex.
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===== General Info =====
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**Teacher**: 
  * Dr. Massimo Callisto De Donato <massimo.callistodedonato[at]gruppofilippetti.it>

**ESSE3 Link**
  * ---

**Webex Link**
  * https://unicam.webex.com/meet/massimo.callisto

**Lessons schedule**:
  * 42 h - lectures, exercise sessions
  * Schedule on: Monday/Friday 14:00am to 16:00pm
  * LB1 room-new Polo Ludovici
  * Schedule (tentative)
    * 02,05,09,12,16,19,23,26,30/10/2020
    * 06,09,13,16,20,23,27,30/11/2020
    * 04,11,14,18,21/12/2020

**Students Office hours**:
  * Send an e-mail to the teacher to fix an appointment.
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===== Course Objectives =====

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  * knowledge about business data analysis and modern scenarios such as the Internet of Things.
  * Understanding of main differences between classical methods in data analysis and new modern scenarios.
  * Knowledge and expertise on Big Data methodologies and technologies, basic principles and concepts, techniques that enable data analysis and management.
  * Knowledge of the main Big Data technological frameworks and application in real case studies.
  * Highlight some Intelligent Data Analysis techniques.
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----
===== Course Contents =====

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  * Acquire knowledge and competence on Big Data methodologies, techniques and technologies.
  * Know most common techniques of Big Data analysis and how they apply to real world examples.
  * Apply Big Data Analysis techniques into practical case studies.

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===== Syllabus =====
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  *Introduction to enterprise and data management.
  *Analysis of scenarios and contexts of data generation: from the inter-organizational model to the Internet of things.
  *Introduction to the classic data analysis techniques: ETL (Extract, Transform, Load), Business Intelligence, Reporting Tools.
  *Methodologies and technologies for the management and analysis of large amounts of data: introduction to the Big Data model, concepts, principles and technological frameworks.
  *Data Analytics methodologies and techniques: batch analysis models, streaming computation.
  *Data Analytics evolution towards intelligent data understanding models.
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===== Study material =====
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**Course Slides**
  * Slides {{ https://drive.google.com/drive/folders/1NXUYoM97DGKzanChYkyZVrXOtrl6t_bR?usp=sharing | link}}
  
  * Webex {{ https://docs.google.com/document/d/12JWgJVPidhcg9A8yUHXwR9IOQR9Zp5bNSzuYOHxyK04/edit?usp=sharing | doc with links}}

  * Projects {{ https://drive.google.com/drive/folders/1DGM7r7-1UZ2f5tr8tXzA_aSrbL6FWWk3?usp=sharing | link}} | {{ https://docs.google.com/spreadsheets/d/1CefKoxu1HuU1MUSL8WcJRNPE5v9pJuzCpUwy0pfYbcc/edit?usp=sharing | Projects list and slides}}

  * Enterprise Data Analytics 2019-20: http://didattica.cs.unicam.it/doku.php?id=didattica:magistrale:eda:ay_1920:main

  * **Reference materials**
     * Slides course.
     * Material provided by the teacher.
     * Examples
         * ...
     * Other materials
         * ...

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----

===== Exams =====
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**Exam Dates A.Y. 2020/2021 (tentative)**
  * 01/02/2021
  * 22/02/2021
  * 22/03/2021
  * 07/06/2021
  * 28/06/2021
  * 26/07/2021
  * 06/09/2021
  * 15/11/2021
  * 20/12/2021
  * 07/02/2022

**Exam rules**: 
  * Writing Examination on the topics of the course
  * Project lab (max 2 member per team)
  * [[https://docs.google.com/document/d/1rxauULMxRH_lAjoXV3UDewgk5Y_H1AvswRrTgLTgLsU/edit?usp=sharing | Rules]]

** Exam Results **
  * ...

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