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--- didattica:ay2526:big:main [2025/09/20 12:56] – created - external edit 127.0.0.1
+++ didattica:ay2526:big:main [2025/11/03 17:12] (current) – [News] massimo
@@ Line 5: / Line 5: @@
 ===== News =====
 <WRAP center round important 95%>
-There is not any news.
+  * <wrap em>**Lesson update**</wrap>: The lessons planned for 6, 10 and 13 November 2025 will take place in LA1.
+  * <wrap em>**No lesson on 20 October**</wrap>: no lesson on this day.
+  * <wrap em>**No lesson on 16 October**</wrap>: no lesson on this day.
+  * <wrap em>**Webex recordings**</wrap>: recordings are available at the following [[https://docs.google.com/document/d/10WH7KwDXP0v2-inC2M8x8qf2175xLWD3uYqNdaJYWOk/view | link]].
+  * <wrap em>**Course start**</wrap>: the course is planned to start the **6th of October** - AB2 - Polo Lodovici A.
 </WRAP>
 ----
 ===== News =====
@@ Line 20: / Line 23: @@
 **Teacher**:
   * [[https://docenti.unicam.it/pdett.aspx?ids=N&tv=d&UteId=1056|Prof. Massimo Callisto De Donato]]
+  * Webex room: https://unicam.webex.com/meet/massimo.callisto
+  * Email: massimo.callisto[at]unicam.it
 **ESSE3 Link**
@@ Line 39: / Line 43: @@
 </WRAP>
 ----
+===== Course Objectives =====
+<WRAP box round 95% center>
+  * knowledge about business data analysis.
+  * Understanding of main differences between classical methods in data analysis and new modern scenarios.
+  * Knowledge and expertise on Big Data, basic principles and concepts, techniques that enable data analysis and management at scale.
+  * Knowledge of the main Big Data frameworks and their application in real case studies.
+</WRAP>
+----
+===== Syllabus =====
+<WRAP round 95% center box>
+  *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.
+  *Introduction to the Big Data model, concepts, principles and technological frameworks.
+  *Data Analytics methodologies and techniques: batch analysis models, streaming computation.
+</WRAP>
+----
+===== Study material =====
+<WRAP box round center 95%>
+**Course Slides**
+  * Slides {{ https://drive.google.com/drive/folders/1l6kooACXRzrm5j6DZohjNbtK2otsiVcI?usp=drive_link | link}}
+  * Github {{ https://github.com/massimocallisto | link }}
+  * Webex recordings {{ https://docs.google.com/document/d/10WH7KwDXP0v2-inC2M8x8qf2175xLWD3uYqNdaJYWOk/edit?usp=sharing | link}}
+  * Projects (TBD)
+  * TBDM [[http://didattica.cs.unicam.it/doku.php?id=didattica:ay2425:tbdm:main | A.A.2024/25]]
+  * **Reference materials**
+     * Slides course.
+     * Material provided by the teacher.
+     * Examples
+         * ...
+     * Other materials
+         * ...
+</WRAP>
+----
+===== Exams =====
+<WRAP box round center 95%>
+**Exam Dates A.Y. 2024/2025 (tentative)**
+  * 02/02/2026
+  * 23/02/2026
+  * 22/06/2026
+  * 06/07/2026
+  * 27/07/2026
+  * 07/09/2026
+  * 29/09/2026
+  * 01/02/2027
+  * 15/02/2027
+**Exam rules**:
+  * Writing Examination
+  * Project lab (max 3 member per team)
+For the 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
+  - future improvements
+** Exam Results **
+  * See news section
+</WRAP>