Ateneo - UPO

The U.N. 2030 agenda for Sustainable Development. The 17 goals (SDG) of the 2030 agenda will be presented by experts in the various fields. In particular this course will focus on goals related to energetic sustainability, climate and environment:
SDG 6: Ensure availability and sustainable management of water and sanitation for all; SDG 7: Ensure access to affordable, reliable, sustainable and modern energy for all; SDG 11: Make cities and human settlements inclusive, safe, resilient and sustainable; SDG 12: Ensure sustainable consumption and production patterns; SDG 13: Take urgent action to combat climate change and its impacts; SDG 14: Conserve and sustainably use the oceans, seas and marine resources for sustainable development; SDG 15: Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss.
In addition a mention will be made of sustainability in socio-economic systems.

Roe, J., deForest, R. & Jamshidi, S. (2018). Mathematics for Sustainability. Springer.

Provide the ability to perform an integrated analysis based on different disciplines of the great challenges of sustainability, like e.g. climatic change, biodiversity, logistics and regional development planning, and so on. Stimulate research aimed at analysing the impact of different factors on sustainability, in order to elaborate a complex and multidisciplinary model.

Fundamental mathematical and physical models

Frontal lessons, problem solving, groupwork.

Students with disabilities or Specific Learning Disorders (DSA) or Special Educational Needs (BES) may request specific services and tools dedicated to them by contacting the Career Development and Coordination Staff and Student Services and consulting the dedicated page of the University website: https://uniupo. en/en/servizi/servizi-studenti- disabili-e-dsa Students with disabilities, DSA, BES, once they have made contact with the University Staff, may contact the teacher in charge of the course in relation to the declination of examination methods, with regard to teaching aspects.

Oral examination for the module on mathematical models. For the economics module: Verification of learning will be by means of multiple-choice tests (8 questions).

Mathematical Models Module: definition of model and mathematical model, examples of mathematical models applied to energy and economics, students' free choice of mathematical models to study in depth. Module title: Ecological transition and economic implications in the energy sector Description: The module provides an introduction to the analysis of the economic implications of the ecological transition in the energy sector. The main economic impacts of the change in the energy mix will be examined, with reference to price dynamics, environmental policies and European strategies (e.g. Green Deal). Teaching activities include interactive lectures and analysis of data and empirical evidence. Methods of brain activity visualization (MRI and PET) and their use for communication with vegetative state patients, the somatosensory system, control of movement, brain-machine interfaces, and interfaces between cultured neurons and actuators, also for energy saving (biological computers). Organization of the nervous system. The neuron. The action potential. The synapse. The peripheral nervous system. The central nervous system. The cerebral cortex: anatomical and functional organization and synaptic plasticity. Biophysics of the neuron and theoretical models. The membrane potential: Nernst-Planck equation, Nernst equation, Goldman-Hodgkin-Katz equation. The equivalent electric circuit model of the cell membrane. Passive membrane properties and cable equations. The Hodgkin-Huxley model. Markovian models for ion channels. Integrate-and-Fire models. Investigation techniques. Electrophysiological techniques: the patch-clamp technique. Multi-electrode arrays (MEA). Live-imaging microscopy. Optogenetics

- Knowledge and understanding: knowing and understanding the sustainability topics and their interconnections in a transdisciplinary setting. - Applying knowledge and understanding: being able to apply, with a multidisciplinary approach, the sustainability vision to scientific, economic, social and health scopes. - Making judgements: Being able to analyse in a critical way recent publications on energetic sustainability. - Communication skills: Ability to effectively communicate the goals of energetic sustainability and the related scientific reasons. - Learning skills: being able to autonomously learn the basic concepts of the various disciplines and their integration in a model for sustainability.