magistraleinformatica:dmi:start
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magistraleinformatica:dmi:start [30/11/2021 alle 10:45 (3 anni fa)] – [First Semester] Anna Monreale | magistraleinformatica:dmi:start [14/01/2022 alle 01:37 (3 anni fa)] – [Exams] Anna Monreale | ||
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|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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A project consists in data analyses based on the use of data mining tools. | A project consists in data analyses based on the use of data mining tools. | ||
- | The project has to be performed by a team of 2/3 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 20 pages of text including figures. The students must deliver both: paper (single column) and well commented Python Notebooks. | + | The project has to be performed by a team of 2/3 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. |
* 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)** |
magistraleinformatica/dmi/start.txt · Ultima modifica: 21/09/2024 alle 18:11 (31 ore fa) da Mattia Setzu