Cloud-based Solutions for Handling and Analyzing Smart City Data
PhD students or colleagues interested in attending the course can send a message to email@example.com by October 3rd. The course is free of charge but registration is mandatory for organization purposes.
The course will be held in the new building of the Department of Computer Science of the University of Milan -- Via Celoria 18, Milano. The course will last 20 hours and there will be the possibility to give the final exam for obtaining credits.
Prof. Payam Barnaghi, University of Surrey, UK
Prof. Marco Mesiti, University of Milan, IT
Prof. Paolo Nesi, University of Firenze, IT
Dr. Stefano Valtolina, University of Milan, IT
Smart cities provide a plethora of data of different kinds that need to be acquired, integrated and processed in order to develop intelligent services for the different actors of the city (municipalities, citizens, students, entrepreneurships, and researchers). Cloud-based solutions that are open-source and exploit open-standards for the management of the city data are considered prominent in order to face the scalability, maintainability and financial issues of small and large cities around the world. In this course we will discuss the infrastructures required for the management and the analysis of smart city data (stored, streams, etc.) of big size and provide insight in the current solutions for the visual development of IoT applications, dashboards, and for extracting knowledge. The experiences that we have gained in participating in several European projects will be presented along with new research directions in the field.
09:00-10:30 Prof. Mesiti “An Introduction to Smart Cities and IoT Data Management”
11:00-12:30 Prof. Nesi “Cloud-based Infrastructures for Smart Cities”
14:00-15:30 Prof. Barnaghi “Semantic Technologies for IoT”
16:00-17:30 Prof. Barnaghi “Semantic Technologies for IoT”
09:00-10:30 Prof. Nesi “Cloud-based Infrastructures for Supporting the Analysis of Smart City Data”
11:00-12:30 Prof. Barnaghi “IoT Data Analytics and Stream Processing”
14:00-15:30 Prof. Nesi “From Data to Applications and Dashboards”
16:00-17:30 Prof. Barnaghi “IoT Data Analytics and Stream Processing”
09:00-10:30 Dr. Valtolina “Visual languages for Developing IoT Applications”
11:00-12:30 Prof. Mesiti “Use case: Snap4City a Solution for highly collaborative Smart Cities Environments”
14:00-15:30 Prof. Barnaghi “IoT Applications: Uses cases from Smart City and Healthcare Domains”
16:00-17:30 Prof. Mesiti “Discussion and Conclusions”