Differences

This shows you the differences between two versions of the page.

--- didattica:ay2425:tbdm:main [2024/09/25 13:25] – [News] massimo
+++ didattica:ay2425:tbdm:main [2025/10/07 08:55] (current) – [Exams] massimo
@@ Line 6: / Line 6: @@
 ===== News =====
 <WRAP center round important 95%>
+  * <wrap em>**Exam update:**</wrap> the exam scheduled for 29 September 2025 will take place at *10:00* in one of the student classroom at the Computer Science Polo B.
+  * <wrap em>**Exam update:**</wrap> the exam scheduled for 8 September 2025 will take place in Room LB1 at the Computer Science Polo B.
+  * exam are available {{https://drive.google.com/file/d/1u2qRoAbjd9_JsmpU5aM0axiCpDXlAHba/view?usp=sharing | here}}.
+  * <wrap em>**Exam results:**</wrap> the results of the 07 July 2025 exam are available {{https://drive.google.com/file/d/1u2qRoAbjd9_JsmpU5aM0axiCpDXlAHba/view?usp=sharing | here}}.
+  * <wrap em>**Exam results:**</wrap> the results of the 23 June 2025 exam are available {{https://drive.google.com/file/d/1myBetIFxlMb2LPL_COIPlsRJtej8xlTv/view?usp=sharing | here}}.
+  * <wrap em>**Exam results:**</wrap> the results of the 24 February 2025 exam are available {{https://drive.google.com/file/d/1A8VlQ0e6NyqGUxDTSGs1-R1ERu7VgXiH/view?usp=sharing| here}}.
+  * <wrap em>**Exam results:**</wrap> the results of the 3 February 2025 exam are available {{https://drive.google.com/file/d/1-z8C5siZ8ZwpFSoR60HW7TwddvmvDPtV/view?usp=drive_link| here}}.
+  * <wrap em>**Exam update:**</wrap> the exams scheduled for 3 February and 24 February will take place at 14:00 in room AB2.
+  * <wrap em>**Projects:**</wrap> the list of the **projects** is available at following {{https://drive.google.com/drive/folders/1gFg_sGXI-29ClcwHuqW9BfHOXKHeEYhG | link}}.
+  * <wrap em>**No lesson on 14 November:**</wrap> no lesson on this day.
+  * <wrap em>**TBDM on Telegram**</wrap>: students can join to the Telegram group with the following {{https://t.me/+_If79QPfFR42NzQ0 | link}}.
+  * <wrap em>**No lesson on 11 November:**</wrap> no lesson on this day.
+  * <wrap em>**No lesson on 31 October:**</wrap> no lesson on this day.
+  * <wrap em>**Webex recordings**</wrap>: recordings are available at the following [[https://docs.google.com/document/d/1JYz2CP5fzmcMjYVzYw8S4NNfHTirVYdF4AwWyJ9C14g/view | link]].
   * <wrap em>**Course start**</wrap>: the course is planned to start the **30th of September** - AB2 - Polo Lodovici A.
 </WRAP>
@@ Line 13: / Line 27: @@
 <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 43: @@
 </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 {{ https://drive.google.com/drive/folders/1gFg_sGXI-29ClcwHuqW9BfHOXKHeEYhG | link}}
+  * 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)**
+  * 02/02/2026
+  * 23/02/2026
+  * 23/06/2026
+  * 07/07/2026
+  * 28/07/2026
+  * 08/09/2026
+  * 29/09/2026
+  * 02/02/2027
+  * 16/02/2027
+**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>