Assistant: Stefano Scanzio
www: https://www.skenz.it/ss
email: stefano.scanzio [ AT_SYMBOL ] unimib.it

• [2024/04/24]: Added example of today lesson (week1_python_examples.py). Please, analyze them accurately.
• [2024/04/07]: Preliminary material uploaded on the website of the course

• [2024/06/05] from 14:30 to 16:30 (room LAB908)
• [2024/06/05] from 10:30 to 12:30 (room U4-04)
• [2024/05/29] from 14:30 to 16:30 (room LAB908)
• [2024/05/29] from 10:30 to 12:30 (room U4-04)
• [2024/05/22] from 14:30 to 16:30 (room LAB908)
• [2024/05/22] from 10:30 to 12:30 (room U4-04)
• [2024/05/15] from 14:30 to 16:30 (room LAB908)
• [2024/05/15] from 10:30 to 12:30 (room U4-04)
• [2024/04/24] from 14:30 to 16:30 (room LAB908)
• [2024/04/24] from 10:30 to 12:30 (room U4-04)

• Slide: upload in next few week

Explanation of the python language using examples. In the following you can download all the example commented in classroom. Remember, it is important that you completely understand them, and you practice using python in your PC.
Download of the example: week1_python_examples.py

Example of packets captured through Wireshark:

• MQTT subscriber MQTT_subscriber.pcap
• Examples of POST and GET requests in Flask: FLASK_POST_GET.pcap

For the course, you need to install python and a programming environment such as Visual Studio Code. Please, follow this guideline: video guide

Thesis about the use of artificial neural networks for the prediction of the quality of a wireless channel (see the video)
.

Thesis about reducing communication latency in TSCH wireless sensor networks by using black and white listening techniques (see the video)
.

Thesis proposals can be downloaded here: https://www.skenz.it/ss/theses
If interested, for informations, contact: stefano.scanzio [ AT_SYMBOL ] polito.it (tel. 011 090 5438) www: https://www.skenz.it/ss