The block course “Smart Sensing” will give the students knowledge about digital measurement methods using sensors (e.g. Internet of Things) applied in different fields of critical infrastructures (e.g. water,energy, etc.).
In the block course “Smart Cities” students will learn about different aspects of interconnected critical urban infrastructure (e.g. water, energy, sensor networks) at various spatial and temporal scales. The overall digitalisation of such infrastructure and its opportunities and challenges for resilient critical urban infrastructure will be emphasised.
SMART CITY HACKATHON
Participants of both the Smart Sensing and the Smart Cities course will form groups during the Smart City Hackathon to solve challenges faced the digitalisation of urban critical infrastructure. International teams will be supported by ide3a ambassadors and judged by an international team of jurors.
CRITICAL INFRASTRUCTURE AND DIGITALISATION
The lecture series on “Critical Infrastructure & Digitalisation” is organised by TU Berlin and conducted digitally. Every week, one of the experts of the consortium holds a lecture which will be accessible for all partner students.
The CID podcast series is associated with the lecture series on „Critical Infrastructure & Digitalisation“ a podcast episode providing valuable insight into different urban infrastructure systems such as water networks, energy networks, sensor und communication networks, and mobility from the experts’ perspective. More information can be found here whereas the podcasts are accessible by clicking on the respective image next to the corresponding short description.
The CID podcast series is introduced by Prof. Dr. Andrea Cominola who tackles a broad spectrum of aspects related to the water infrastructure.
#2 WATER/ IT
In this podcast Prof. Dr. Rita Ugarelli outlines the importance of solutions to protect critical water infrastructures against physical and cyber threats.
#3 ENERGY/ MOBILITY
The third guest of the CID podcast series, Prof. Dr. Sangyoung Park various aspects affecting the transition to electrical vehicles but also means to reduce carbon emissions produced by the domestic transport systems.
#4 MOBILITY/ IT
With the fourth guest Prof. Dr. David Bermbach we dive into the world of designing a geo-distributed system as well as its data management and evaluation.
In the fifth podcast of this series Prof. Dr. Monica Vitali takes up on possibilities of applying artificial intelligence and machine learning techniques on data centers and cloud computing to achieve a higher efficiency