Differenze

Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.

--- digitalhealth:0001a [14/09/2026 alle 15:34 (29 ore fa)] – [First Semester] Anna Monreale
+++ digitalhealth:0001a [14/09/2026 alle 15:55 (28 ore fa)] (versione attuale) – [Exams] Anna Monreale
@@ Linea 66: / Linea 66: @@
 ^ ^ Day ^ Topic ^ Learning material ^ References  ^ Teacher ^
-|16/09/2026 | Introduction | | Naretto |
+| |16/09/2026 | Introduction | | | Naretto |
+| |18/09/2026 |
+| |21/09/2026 |
+| |23/08/2026 |
+| |25/09/2026 |
 ====== Exams ======
-The exam consists of: a **group project** (in teams of two or three) and an **oral exam** that includes a discussion of the project and an assessment of the theoretical knowledge acquired, for those who complete the project during the course and meet all intermediate and final deadlines set by the instructors.
-Alternatively, students who do not complete or submit the project within the established deadlines will be required to take a **written exam** and an **oral exam** covering all course topics.
+The course offers **two alternative examination paths**: a project path, for students attending the course, and a written-exam path, for students who do not follow the lessons.
-**PROJECT**
+===== Option 1 – Attending Students: Project + Oral Exam =====
-A project consists in data analyses based on the use of data mining tools.
+Students following the course as attending students are expected to participate in the project activities throughout the semester. The project must be carried out in **groups of 2 or 3 students** and implemented in **Python**.
-The project has to be performed by a team of 2 max 3 students. It has to be performed by using Python. The guidelines require to address specific tasks. Results must be reported in a unique paper. The total length of this paper must be max 25 pages of text including figures. The students must deliver both: paper (single column) and  well commented Python Notebooks.
+During the lectures, the topics and methods needed to carry out the project will be presented. The project must be developed throughout the first semester, following the progress of the course. **Intermediate checkpoints** will be scheduled during the semester. At these checkpoints, each group will be asked to present and discuss the work completed and the results obtained so far. Participation during the lessons, as well as in the intermediate checkpoints and compliance with the corresponding deadlines are part of the project-based examination path.
-Deadline. January 5th, 2026.
+The final evaluation consists of:
-Delivery instructions. The final deadline of the project is 5th January 2026 at 23:59. This deadline is STRICT. No extension is possible because then the winter session of exams starts. Groups that will not deliver the project by 5th January will need to do the written exam during the exam sessions. Each group must deliver by email to anna.monreale@unipi.it, francesca.naretto@unipi.it a zipped folder named DM_GroupID.zip and containing 4 folders and 1 pdf file: a folder named DM_GroupID_TASK_DU, containing source code of data understanding; a folder named DM_GroupID_TASK_CLU, containing source code of data clustering; a folder named DM_GroupID_TASK_CLA, containing source code of classification; a folder named DM_GroupID_TASK_TS, containing source code of time series analysis; a pdf file with maximum 25 pages including figures discussing the results of the tasks. The name of this file must be: DM_Report_GroupID.pdf. The file must contain the list of authors (i.e., members of the group). The subject of the email must be “DADHProject25_GroupID”
+  * **Group project: 70% of the final grade**
+  * **Oral exam: 30% of the final grade**
+The project requires the application of the data mining methods presented during the course to the assigned data and research question. The results must be documented in a final report and accompanied by well-commented and executable Python notebooks.
+The oral exam will include questions covering the **entire course programme**. Questions may address both theoretical concepts and practical aspects of the methods presented during the course. The oral exam will also include a discussion of the project and of the methodological choices made by the group.
+The **final project deadline is January 6th, 2027**.
+Students who choose this examination path must complete and submit the project by this deadline. **Students who do not submit the project by the deadline will no longer be eligible for the project-based examination path and will be required to take the written and oral exams described in Option 2.**
+===== Option 2 – Non-Attending Students: Written + Oral Exam =====
+This examination path applies to students who do not follow the project-based activities during the course **and to students who do not complete or submit the project by the established deadline**.
+The final evaluation consists of:
+  * **Written exam: 70% of the final grade**
+  * **Oral exam: 30% of the final grade**
+The written exam will cover the **entire course programme** and may include both theoretical questions and practical exercises related to the data mining methods presented during the course.
+The oral exam will also cover the **entire course programme** and may include both theoretical and practical questions.
 ====== Previous years =====
 [[DAD 2024-2025]]