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Glossary
Semester (Sem)
1First Semester
2Second Semester
AAnnual course
Educational activities
BIdentifying activities
Language
Course completely offered in italian
Course completely offered in english
--Not available
Innovative teaching
The credits shown next to this symbol indicate the part of the course CFUs provided with Innovative teaching.
These CFUs include:
  • Subject taught jointly with companies or organizations
  • Blended Learning & Flipped Classroom
  • Massive Open Online Courses (MOOC)
  • Soft Skills
Course Details
Context
Academic Year 2014/2015
School School of Industrial and Information Engineering
Name (Master of Science degree)(ord. 270) - MI (434) Engineering of Computing Systems
Track T2A - Sistemi e applicazioni dell'Informatica
Programme Year 2

Course Details
ID Code 096881
Course Title INTELLIGENCE FOR EMBEDDED SYSTEMS
Course Type Mono-Disciplinary Course
Credits (CFU / ECTS) 5.0
Semester --
Course Description This course has been thought for Ph.D. and Master students willingly to learn, understand or perfect the fundamental mechanisms behind intelligence and how they can be used to design the future generation of embedded and cyberphysical systems and applications. The course presents the intelligent-based methodological and technical aspects making embedded and cyber-physical systems and applications able to deal with uncertainties and evolving environments. More specifically, the course addresses the following aspects: - From metrology to smart sensors (the measurement chain and its properties in smart sensing solutions) - Uncertainty, information and learning (intelligent solutions to deal with uncertainties at different levels: data acquisition, representing information, processing the information and learning mechanisms) - Robustness analysis and Probably Approximately Correct Computation (concepts) - Emotional cognitive mechanisms for embedded and cyberphysical systems - Adaptive mechanisms in embedded and cyber-physical systems (at the single unit and group level) - Learning in nonstationary and evolving environments (active and passive solutions) - Model-free Fault Detection and Diagnosis Systems in embedded and cyber-physical systems
Scientific-Disciplinary Sector (SSD)
Educational activities SSD Code SSD Description CFU
B
ING-INF/05
INFORMATION PROCESSING SYSTEMS
5.0

Schedule, add and removeAlphabetical groupProfessorLanguageCourse details
From (included)To (excluded)
--AZZZZRoveri Manuel
manifesti v. 3.1.9 / 3.1.9
Area Servizi ICT
10/12/2019