

The CU Gamma focuses on resilience, sustainable development paradigms, circularity and actions against climate change to be implemented in territories, communities and production processes and in the consumption of resources and energy. The goals involves a range of technological and sectoral challenges that vary from sustainable technology for energy sector, chemical and industrial processes, transportation to smart city and energy communities as well as agriculture from both a life cycle and supply chain perspective with a particular focus on Mediterranean agricultural and forestry systems. This CU aims to provide a solid, up-to-date and interdisciplinary cultural and scientific base and a deep understanding of the systemic implications of human activities and awareness of the importance of relationships with business, administrations and civil society in an international contest. The PhD candidates will be encouraged to assess the sustainability of their research in order to implement the multi-scale and inter-sectoral perspectives of resilience, sustainability and circularity.

Determining the carbon footprint of any process is crucial to determine its sustainability. This course provides the general knowledge to conduct a life cycle environmental impact analysis of a process or product.
The course aims then to show how urban and regional spatial planning can be re-oriented in order to take on accessibility as one of its key objectives.
Climatological analysis: changes, extreme events.Climate scenarios and downscaling for agricultural research. Agrometeorological tools to support agricultural research.
Beginning from the analysis of the various collective transport systems, the student is able to plan the project of a transport system in an urban area, with the aim of methodological experimentation directed on a real case.
The course addresses the challenges arising in the Big Data era, examining big data processing and knowledge extraction for big data. Specifically, the course covers how to collect, store, retrieve, and analyze big data to mine useful knowledge.
The course seeks to impart a broad understanding of the methods, tools and skills required for conducting analyses of environmental impacts, vulnerability and risks posed by climate change in the context of global environmental changes.
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