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magistraleinformatica:dmi:start [30/11/2021 alle 10:36 (2 anni fa)] Anna Monreale [First Semester] |
magistraleinformatica:dmi:start [12/01/2022 alle 10:00 (2 anni fa)] Anna Monreale [Exams] |
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|24.| 12.11 09:00-10:45 | Motif & Shapelet Discovery | {{ : | |24.| 12.11 09:00-10:45 | Motif & Shapelet Discovery | {{ : | ||
|25.| 17.11 14:15-16:00 | Lab: Association Rules & Sequential pattern mining by Python | {{ : | |25.| 17.11 14:15-16:00 | Lab: Association Rules & Sequential pattern mining by Python | {{ : | ||
- | |26.| 18.11 14:15-16:00 | Ethics & Privacy | {{ : | + | |26.| 18.11 14:15-16:00 | Ethics & Privacy | {{ : |
- | |27.| 19.11 09:00-10:45 | Lab: Time series | | + | |27.| 19.11 09:00-10:45 | Lab: Time series | |
- | |28.| 24.11 14:15-16:00 | Explainability | {{ : | + | |28.| 24.11 14:15-16:00 | Explainability | {{ : |
|29.| 25.11 14:15-16:00 | Explainability + LAB XAI| {{ : | |29.| 25.11 14:15-16:00 | Explainability + LAB XAI| {{ : | ||
- | |30.| 26.11 09:00-10:45 | LAB XAI + Anomaly Detection | + | |30.| 26.11 09:00-10:45 | LAB XAI + Anomaly Detection |
- | |31.| 01.12 14:15-16:00 | Anomaly Detection | | + | |31.| 01.12 14:15-16:00 | Anomaly Detection |
- | |32.| 02.12 14:15-16:00 | Lab Anomaly Detection | + | |32.| 02.12 14:15-16:00 | CRISP-DM |
|. | 03.12 09: | |. | 03.12 09: | ||
- | |33.| 15.12 14:15-16:00 | Paper Presentation | | + | |33.| 15.12 14: |
- | |34.| 16.12 14:15-16:00 | Paper Presentation | | + | |34.| 16.12 14: |
- | |35.| 17.12 09:00-10:45 | Paper Presentation | | + | |35.| 17.12 09: |
====== Exams ====== | ====== Exams ====== | ||
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* First part of the project consists in the **assignments** described here: {{ : | * First part of the project consists in the **assignments** described here: {{ : | ||
- | | + | - **Dataset: |
- | * **Deadline**: | + | |
* Second part of the project consists in the assignment Task 3 described here: {{ : | * Second part of the project consists in the assignment Task 3 described here: {{ : | ||
- | | + | |
+ | |||
+ | * Third part of the project consists in the assignment Task 4 described here: {{ : | ||
+ | - Note that the document contains also rules for the delivery and final exam! | ||
+ | - Data for time series analysis: {{ : | ||
+ | | ||
+ | |||
+ | |||
+ | **Students who did not deliver the above project within 5th Jan 2022 need to ask by email a new project to the teachers. The project that will be assigned will require about 2 weeks of work and after the delivery it will be discussed during the oral exam. ** | ||
** Paper Presentation (OPTIONAL)** | ** Paper Presentation (OPTIONAL)** |