Unit SUSTAINABILITY MANAGEMENT

ENGINEERING MANAGEMENT FOR CLIMATE RESILIENCE AND SUSTAINABILITY

Code	A005329
CFU	6
Teacher	Claudia Fabiani
Teachers	Anna Laura Pisello (Codocenza) Claudia Fabiani
Hours	10 ore (Codocenza) - Anna Laura Pisello 38 ore - Claudia Fabiani
Learning activities	Affine/integrativa
Area	Attività formative affini o integrative
Sector	ING-IND/11
Type of study-unit	Obbligatorio (Required)
Language of instruction	English
Contents	This course provides students with a multidisciplinary understanding of climate change, sustainability, and environmental management in the context of infrastructure planning and design. Students explore the social, scientific, and policy dimensions of sustainability and are introduced to tools for evaluating and managing the environmental impact of engineering solutions. The course emphasizes climate resilience, ethical responsibility, and long-term sustainability goals in infrastructure and urban development.
Reference texts	Teacher/Lecture Notes (pdf)
Educational objectives	By the end of the course, students will be able to: • Understand climate systems and environmental change drivers • Evaluate sustainability metrics and perform life cycle assessments • Analyze regulatory frameworks and apply policy tools • Critically assess the environmental impact of infrastructure • Communicate solutions to sustainability challenges effectively
Prerequisites	Basic knowledge in environmental science and systems thinking is recommended to fully engage with the course material.
Teaching methods	•Theoretical classroom lectures •Individual or group term papers on sustainability-related case studies
Learning verification modality	The final evaluation includes a written examination and a short report. The written exam consists of multiple-choice questions to assess understanding of key theoretical and applied course topics, including sustainability principles, environmental policy, climate change, and resource management. Students must also submit a brief written report on a topic related to the course, developed in small groups. The report should demonstrate the ability to apply course concepts to practical or case-based contexts and must be submitted before the exam. Both components are mandatory and contribute to the final grade. Students who achieve a score of 26 or higher on the written exam may request to take an optional oral examination.
Extended program	1. Introduction to Sustainability • What is sustainability? • Human consumption and limits to growth • Major sustainability challenges 2. Climate and Global Change • Climate system fundamentals: internal/external controls • Modern climate change and projections 3. Ecosystems, Physical Resources and Environmental Pollution • Freshwater supply and water cycle • Water pollution and major environmental disasters • Mineral resource extraction and impact • Biodiversity and ecosystem services • Soil sustainability and ecosystem vulnerability 4. Modern Environmental Management • Evolution of environmental regulation in the EU • Waste management systems • Government and environmental law • Risk assessment for sustainability solutions • Producer responsibility 5. Sustainability Metrics and Tools • Life Cycle Assessment (LCA) and derivative methods • Footprinting: carbon, ecological, and water • Environmental indicators and sustainability rating systems • Case studies on GHG emissions and university sustainability 6. Ethics, Culture, and Sustainable Infrastructures • Historical and ethical perspectives on sustainability • Industrialization and the environment • Principles of sustainable cities and urban planning • Transportation systems and stormwater management
Obiettivi Agenda 2030 per lo sviluppo sostenibile	6 Clean Water and Sanitation 7 Affordable and Clean Energy 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production 13 Climate Action

SMART AND DIGITAL MANUFACTURING FOR SUSTAINABILITY

Code	A005328
CFU	6
Teacher	Arianna Rossi
Teachers	Arianna Rossi
Hours	48 ore - Arianna Rossi
Learning activities	Caratterizzante
Area	Ingegneria gestionale
Sector	ING-IND/16
Type of study-unit	Obbligatorio (Required)
Language of instruction	English
Contents	The module covers the key concepts underlying the revolution which is being caused by the gradual spread of smart manufacturing machines and systems, and how the general concept smart manufacturing is impacting the social, economic and environmental dimensions of sustainability. The main aspects of digitalization in the world of manufacturing are covered first. Then, cyber-physical systems and the concept of Industry 4.0 are introduced, with special attention to the integration of AI and machine learning, blockchain technologies, and digital shadowing/twinning. The recent further evolution into Industry 5.0, with a renewed attention to green and human-centric manufacturing is discussed next, with a final overview of the next challenges to be faced.
Reference texts	Instructor handouts
Educational objectives	Get to know the principles underlying the digital and green transition experienced by manufacturing machines and systems. Understand how smart manufacturing is impacting the three dimensions of sustainability: economic, social and environmental.
Prerequisites	None
Teaching methods	Frontal lectures
Other information	NA
Learning verification modality	Final exam
Extended program	Part I – Digital manufacturing Digital models and computer simulations of manufacturing processes: casting, forming, material removal, additive manufacturing, joining and assembly. Digital models and computer simulations of manufacturing systems: discrete events vs continuous simulations. Part II – Fundamentals of Industry 4.0 Industry 4.0 concepts and goals: mass customization, flexibility, optimized decision-making, resource productivity and efficiency, responding to demographic change. Industry 4.0 foundational pillars: internet of things, cyber-physical systems, digital shadows, digital twins, blockchains and their impact on advanced manufacturing processes and systems. The fundamental role of additive manufacturing in Industry 4.0. Part III – Smart manufacturing machines and systems Hybrid multi-sensing and multi-sensor data fusion, including 2D/3D machine vision. On-machine in-process monitoring, control and adaptive optimization. Uses of AI technologies in smart manufacturing machines and systems: shallow learning, deep learning, reinforcement learning and other AI technologies. Digital shadowing and digital twinning in manufacturing. Data-driven modelling of manufacturing processes and systems, powered by machine learning and system identification. Smart inspection systems. Intelligent devices for volume, form and surface metrology and their integration within smart manufacturing systems. Part IV – Introduction to Industry 5.0 The three dimensions of sustainability: environmental, social and economic. Introduction to the green transition and the European Green Deal. Manufacturing process optimization and relationships with the three dimensions of sustainability. Convergence of the digital and green transitions. Migrating between Industry 4.0 to Industry 5.0 in manufacturing and inspection. Key Industry 5.0 strategies: human-centricity, resilience and sustainability, and their relation to next-generation manufacturing.
Obiettivi Agenda 2030 per lo sviluppo sostenibile	Objectives 8,9,12