01QZP 2018-2019 Ambient Intelligence
Corno, Fulvio and De Russis, Luigi and Monge Roffarello, Alberto

folder 01QZP 2018-2019 Ambient Intelligence (21 files)
fileAmI2019-L18 2019-05-16 17-40-01.mkv 219.09MB
fileAmI2019-L19 2019-05-20 14-35-25.mkv 93.97MB
fileAmI2019-L20 2019-05-23 17-47-48.mkv 183.07MB
fileREADME.txt 0.49kB
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fileAmI2019-L10 2019-04-04 17-34-29.mkv 98.26MB
fileAmI2019-L05 2019-03-14 17-34-03.mkv 95.88MB
fileAmI2019-L06 2019-03-21 17-40-12.mkv 161.76MB
fileAmI2019-L07 2019-03-25 14-41-51.mkv 223.85MB
fileAmI2019-L08 2019-03-28 17-41-04.mkv 109.13MB
fileAmI2019-L03 2019-03-07 17-36-30.mkv 131.02MB
fileAmI2019-L04 2019-03-11 14-39-14.mkv 239.79MB
fileAmI2019-L02 2019-03-04 16-40-49.mkv 135.46MB
fileAmI2019-L01 2019-03-04 14-38-46.mkv 295.38MB
Type: Course
Tags: Ambient Intelligence, Intelligent Environments, Internet of Things, Projects, Python, Smart Environments

title= {01QZP 2018-2019 Ambient Intelligence},
journal= {},
author= {Corno, Fulvio and De Russis, Luigi and Monge Roffarello, Alberto},
year= {},
url= {http://bit.ly/polito-ami},
abstract= {Lectures of Ambient Intelligence at Politecnico di Torino, in 2019.


* Introduction to Ambient Intelligence: definitions and available approaches for smart homes, smart buildings, etc. Overview of application areas (home, building, city, traffic, etc.) and types of applications (monitoring, comfort, anomaly detection, ambient assisted living, control and automation, etc.)
* Requirements and design methodology for AmI. Design, analysis and specification of requirements and functionalities related to user interacting with AmI settings.
* Practical programming of AmI systems: the Python language, the Raspberry Pi computer, Web protocols and languages (e.g., HTTP and REST), web-based APIs, and collaboration tools (git, GitHub).

keywords= {Ambient Intelligence, Intelligent Environments, Internet of Things, Projects, Python, Smart Environments},
terms= {},
license= {Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International 
superseded= {}

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