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--- didattica:ay2425:tbdm:main [2024/09/25 13:25] – [News] massimo
+++ didattica:ay2425:tbdm:main [2024/09/25 13:40] (current) – [Study material] massimo
@@ Line 13: / Line 13: @@
 <WRAP box round 95% center>
 **Teacher**:
-  * [[https://computerscience.unicam.it/massimo-callisto-de-donato|Prof. Massimo Callisto De Donato]]
+  * [[https://didattica.unicam.it/Guide/PaginaDocente.do?docente_id=3138|Prof. Massimo Callisto De Donato]]
+  * Webex room: https://unicam.webex.com/meet/massimo.callisto
+  * Email: massimo.callisto[at]unicam.it
 **ESSE3 Link**
@@ Line 28: / Line 29: @@
 </WRAP>
 ----
+===== Course Objectives =====
+<WRAP box round 95% center>
+  * 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.
+</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.
+  *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.
+</WRAP>
+----
+===== Study material =====
+<WRAP box round center 95%>
+**Course Slides**
+  * Slides {{ https://drive.google.com/drive/folders/1tcpUqLRvOnPeAJXHSAqVpLvfv6vZ1DvI?usp=sharing | link}}
+  * Github {{ https://github.com/massimocallisto | link }}
+  * Webex recordings {{ https://docs.google.com/document/d/1JYz2CP5fzmcMjYVzYw8S4NNfHTirVYdF4AwWyJ9C14g/edit?usp=sharing | link}}
+  * Projects (TBD)
+  * TBDM [[http://didattica.cs.unicam.it/doku.php?id=didattica:ay2324:tbdm:main | A.A.2023/24]]
+  * **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)**
+  * 03/02/2025
+  * 24/02/2025
+  * 23/06/2025
+  * 07/07/2025
+  * 28/07/2025
+  * 08/09/2025
+  * 29/09/2025
+  * 02/02/2026
+  * 16/02/2026
+**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>