Queste sono le differenze tra la revisione selezionata e la versione attuale della pagina.
Entrambe le parti precedenti la revisione Revisione precedente Prossima revisione | Revisione precedente Prossima revisione Entrambe le parti successive la revisione | ||
magistraleinformatica:dmi:start [12/11/2021 alle 00:48 (2 anni fa)] Anna Monreale [First Semester] |
magistraleinformatica:dmi:start [12/01/2022 alle 10:00 (2 anni fa)] Anna Monreale [Exams] |
||
---|---|---|---|
Linea 155: | Linea 155: | ||
|17.| 27.10 14:15-16:00 | Neural Networks | |17.| 27.10 14:15-16:00 | Neural Networks | ||
|18.| 28.10 14:15-16:00 | Python Lab on Classification | {{ : | |18.| 28.10 14:15-16:00 | Python Lab on Classification | {{ : | ||
- | |19.| 29.11 09:00-10:45 | Canceled | | | | | + | | | 29.11 09:00-10:45 | Canceled | | | | |
- | |20.| 03.11 14:15-16:00 | Python Lab on Classification + Association Rule Mining | + | |19.| 03.11 14:15-16:00 | Python Lab on Classification + Association Rule Mining |
- | |21.| 04.11 14:15-16:00 | Association Rule Mining | | | Chap.5 Association Rules: Kumar Book| | + | |20.| 04.11 14:15-16:00 | Association Rule Mining | | | Chap.5 Association Rules: Kumar Book| |
- | |22.| 05.11 09:00-10:45 | FP-Growth - Sequential Pattern Mining | {{ : | + | |21.| 05.11 09:00-10:45 | FP-Growth - Sequential Pattern Mining | {{ : |
- | |23.| 10.11 14:15-16:00 | Sequential Pattern Mining | {{ : | + | |22.| 10.11 14:15-16:00 | Sequential Pattern Mining | {{ : |
- | |24.| 11.11 14:15-16:00 | Time Series Similarities, | + | |23.| 11.11 14:15-16:00 | Time Series Similarities, |
- | |25.| 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 | {{ : | ||
+ | |26.| 18.11 14:15-16:00 | Ethics & Privacy | {{ : | ||
+ | |27.| 19.11 09:00-10:45 | Lab: Time series | ||
+ | |28.| 24.11 14:15-16:00 | Explainability | {{ : | ||
+ | |29.| 25.11 14:15-16:00 | Explainability + LAB XAI| {{ : | ||
+ | |30.| 26.11 09:00-10:45 | LAB XAI + Anomaly Detection | ||
+ | |31.| 01.12 14:15-16:00 | Anomaly Detection + Lab | {{ : | ||
+ | |32.| 02.12 14:15-16:00 | CRISP-DM | {{ : | ||
+ | |. | 03.12 09: | ||
+ | |33.| 15.12 14:15-16:00 Room C| Paper Presentation | | ||
+ | |34.| 16.12 14:15-16:00 Room C| Paper Presentation | | ||
+ | |35.| 17.12 09:00-10:45 Room C| Paper Presentation | | ||
====== Exams ====== | ====== Exams ====== | ||
Linea 170: | Linea 182: | ||
* 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: {{ : | ||
+ | - **Deadline**: | ||
+ | |||
+ | * 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: {{ : | ||
+ | - **Deadline**: | ||
+ | |||
+ | |||
+ | **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)** | ||
- | Students need to present a research paper (made available by the teacher) during the last week of the course. This presentation is OPTIONAL: Students that decide to do the paper presentation can avoid the oral exam with open questions. They only need to present the project (see next point). | + | Students need to present a research paper (made available by the teacher) during the last week of the course. This presentation is OPTIONAL: Students that decide to do the paper presentation can avoid the oral exam with open questions. They only need to present the project (see next point). The paper presentation can be done by the group or by a single person. |
**Oral Exam** | **Oral Exam** |