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--- magistraleinformatica:dmi:start [17/09/2026 alle 07:01 (5 giorni fa)] – [First Semester] Anna Monreale
+++ magistraleinformatica:dmi:start [21/09/2026 alle 10:59 (19 ore fa)] (versione attuale) – [First Semester] Anna Monreale
@@ Linea 12: / Linea 12: @@
 ====== News ======
+**[17-09-2026] Introduction Python Notebook**
+Hi everyone,
+I have uploaded a notebook on Didawiki covering the basics of Python for those who are not familiar with the programming language.
+Lorenzo
+----
+**[15-09-2026] Exam Modality and Project Groups**
+Hi everyone,
+I have created a shared Google Sheet to collect information about your **exam modality** and, for students choosing the Project, to organize the project groups.
+🔗 **Google Sheet**: [[https://docs.google.com/spreadsheets/d/1qNdnhYP-SDP4sEpsreu2V1j-_SlrZRMdyG8jG4zepJA/edit?usp=sharing]]
+⚠️ **All students must fill in the Google Sheet, regardless of whether they choose the Project or the Written Exam.**
+Please fill in the following fields:
+  * **ID**: already pre-filled. Do not modify it.
+  * **Surname, Name, Student ID, Email**: enter your personal information.
+  * **Curriculum**: select your curriculum from the available options.
+  * **Exam's modality**: select one of the two available options:
+  *   * Project
+  *   * Written exam
+  * **Group ID**: fill in this field only if you choose the Project. Groups must consist of 3 students. All members of the same group must enter the same numerical Group ID. When creating a new group, use the next available number (e.g., if the last existing Group ID is 4, the new group should use 5).
+  * **Note**: optional; use it only if you need to communicate additional information.
+📅 **Deadline: September 29**
+By this date, **all students must have completed the Google Sheet and selected their exam modality**. Students choosing the Project must also have formed a group of 3 students and entered the corresponding Group ID.
+You are free to choose your group members. However, we **encourage you to form groups with students from different curricula** whenever possible, as different backgrounds can bring complementary knowledge and skills that can be useful when working on the project.
+Please make sure not to modify information entered by other students.
+----
 ====== Learning Goals ======
 The Data Mining course tackles the analysis of large collections of data, and the extraction of information and patterns. It aims to explore core components of the Knowledge Discovery from Data (KDD) process, and focuses on:
@@ Linea 82: / Linea 122: @@
 ^ ^ Day ^ Topic ^ Teaching material ^ References ^ Teacher ^
 |1.  | 15.09  | Course Overview. Introduction to Data Mining | {{ :magistraleinformatica:dmi:1-overview-2026.pdf |Course Overview}} {{ :magistraleinformatica:dmi:1-intro-dm-2026.pdf | Intro to DM tasks}}  | Chap. 1 Kumar Book | Monreale  |
-|2.  | 17.09  |  Data Understanding        | {{ :magistraleinformatica:dmi:2-data_understanding-2026.pdf |Data Understanding}}  | Chap.2 Kumar Book and additioanl resource of Kumar Book: [[https://www-users.cs.umn.edu/~kumar001/dmbook/data_exploration_1st_edition.pdf|Data Exploration Chap.]] If you have the first ed. of KUMAR this is the Chap 3 | |
+|2.  | 17.09  |  Data Understanding        | {{:undefined:2-data_understanding-2026.pdf | Slides}} Please, download again this set of slides!| Chap.2 Kumar Book and additioanl resource of Kumar Book: [[https://www-users.cs.umn.edu/~kumar001/dmbook/data_exploration_1st_edition.pdf|Data Exploration Chap.]] If you have the first ed. of KUMAR this is the Chap 3 | |
-|3.  | 21.09  |          |   |  | |
+|3.  | 21.09  |   Data Understanding       |   The same form the previous lecture |  | |