|SCIENTIFIC DISCIPLINARY SECTOR||ING-INF/05|
Ambient Intelligence assumes the presence of a number of devices (sensors and/or actuators) that are embedded in the environment and able to communicate with each other, and can support humans to perform their daily activities. The class explores how Ambient Intelligence applications can be designed, by presenting methodological solutions and technological tools.
The goal of the course is to enable students to understand the Ambient Intelligence computing paradigm, which envisions a world where people (and possibly robots) are surrounded by intelligent sensors/actuators and interfaces embedded in the everyday objects around them.
At the end of the class, the student will be able to:
There are no prerequisites.
The class includes both lessons and computer exercises. Attendance is warmly encouraged, especially concerning exercises. During the semester, assignments will be given that will be evaluated for the exam.
The syllabus includes the following topics:
Relevant material (technical reports, slides, papers) will be distributed by the teachers during the lessons
Office hours: The teacher is available as per meeting request by email at: his office on the second floor of the "E" building, Via Opera Pia 13, 16145, Genoa, the EMAROlab, Via Causa 18, 16145, Genoa.
ANTONIO SGORBISSA (President)
RENATO UGO RAFFAELE ZACCARIA
FULVIO MASTROGIOVANNI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
The exam is written and requires the student to solve problems related to the design of an Ambient Intelligence application using the theoretical and practical tools seen during the year.
Assignments will be given during the year, the evaluation of which will contribute to the final grade.
The exam requires the student to address the design of an Ambient Intelligence application with given characteristics, using the theoretical foundations and programming tools learned during the lessons and exercises.
The final grade results from the composition of the exam grade (70%) and the grade obtained from the exercises carried out during the year (30%).
6 hours will be devoted to supervised exercises.