Differenze

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--- digitalhealth:0001a [15/12/2025 alle 11:28 (4 giorni fa)] – [First Semester] Anna Monreale
+++ digitalhealth:0001a [16/12/2025 alle 16:13 (2 giorni fa)] (versione attuale) – [Exams] Anna Monreale
@@ Linea 117: / Linea 117: @@
 |32.  | 09.12 |Anomaly detection tabular data |{{:digitalhealth:21_anomaly_detection_2020.pdf}} | |Naretto |
 |  | 12.12 |Strike | | | |
-|33.  | 15.12 |Anomaly detection ts + Python lab |{{:digitalhealth:21_anomaly_detection_2020.pdf}} | | Naretto |
+|33.  | 15.12 |Anomaly detection ts + Python lab |{{:digitalhealth:21_anomaly_detection_2020.pdf}} {{digitalhealth:anomalydetection-1.ipynb.zip}} | | Naretto |
 |34.  | 16.12 | | | | |
 |35.  | 19.12 | Project CHECK - mandatory | | | |
@@ Linea 133: / Linea 133: @@
 A project consists in data analyses based on the use of data mining tools.
 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.
+Deadline. January 5th, 2026.
+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”
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