Politecnico di Milano
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Showing 51 courses from Politecnico di Milano
Artificial Intelligence: An Overview
Politecnico di Milano (via Coursera)
The course will provide a non-technical overview of the artificial intelligence field. Initially, a discussion on the birth of AI is provided, remarking the seminal ideas and preliminary goals. Furthermore, the crucial weaknesses are presented and how these weaknesses have been circumvented. Then, the current state of AI is presented, in terms of goals, importance at national level, and strategies. Moreover, the taxonomy of the AI topics is presented.
Energy management for real estate. Methods and digital tools
Politecnico di Milano (via Coursera)
The figure of the Energy Manager (EM), introduced in the United States in the early 1970s, during the first oil crisis, brought to light the need to get more work out of less energy. In Italy, this figure was officially introduced by Law 308/82, but had its first strong impulse thanks to Law 10/91, aimed at implementing the National Energy Plan on the rational use of energy, energy saving and the development of renewable energy sources. More in detail, an Energy Manager is a person whose task is to manage what concerns energy within a company, a public body, or more generally a structure, verifying the energy consumption, optimising it, and promoting interventions aimed at energy efficiency and the use of renewable sources. In such respect, the course will provide the necessary information to: verify consumption, through ad hoc audits or, if available, through digital models or reports produced by remote management; optimise consumption through the correct regulation of systems and their appropriate use from an energy point of view; promote energy-aware behaviour by employees and/or occupants of the facility; propose improvement investments, possibly improving production processes or the performance of related services. The course is structured into 4 Weeks. In the first week a brief introduction about the course, highlighting the main skills of the energy manager, is provided. After that, the fundamental about energy in buildings is discussed in the second week. More in detail, the week aims to define the main energy, regulatory and market framework in which the energy manager has to deal with. Within the same week, the fundamentals of building physics and technical plants are also introduced. During week 3, the specific methodology to carry out the energy survey and audit as well as the available solution to improve the energy efficiency of existing buildings are treated. In the last week, the general approach to face with specific digital tools are also...
FPGA computing systems: Background knowledge and introductory materials
Politecnico di Milano (via Coursera)
This course is for anyone passionate in learning how a hardware component can be adapted at runtime to better respond to users/environment needs. This adaptation can be provided by the designers, or it can be an embedded characteristic of the system itself. These runtime adaptable systems will be implemented by using FPGA technologies. Within this course we are going to provide a basic understanding on how the FPGAs are working and of the rationale behind the choice of them to implement a desired system. This course aims to teach everyone the basics of FPGA-based reconfigurable computing systems. We cover the basics of how to decide whether or not to use an FPGA and, if this technology will be proven to be the right choice, how to program it. This is an introductory course meant to guide you through the FPGA world to make you more conscious on the reasons why you may be willing to work with them and in trying to provide you the sense of the work you have to do to be able to gain the advantages you are looking for by using these technologies. We rely on some extra readings to provide more information on the topic covered in this course. Please NOTE that most of the time, these documents are provided through the IEEE Xplore Digital Library, which means that, to access them, you have to have a valid IEEE subscriptions, either does by yourself or through your university/company. The course has no prerequisites and avoids all but the simplest mathematics and it presents technical topics by using analogizes to help also a student without a technical background to get at least a basic understanding on how an FPGA works. One of the main objectives of this course is to try to democratize the understanding and the access to FPGAs technologies. FPGAs are a terrific example of a powerful technologies that can be used in different domains. Being able to bring this technologies to domain experts and showing them how they can improve their research because of FPGAs, can be seen...
FPGA computing systems: Partial Dynamic Reconfiguration
Politecnico di Milano (via Coursera)
New application domains demand ever increasing adaptability and performance. In order to cope with changing user requirements, improvements in system features, changing protocol and data-coding standards, and demands for support of a variety of different user applications, many emerging applications in communication, computing and consumer electronics demand that their functionality stays flexible after the system has been manufactured. Reconfigurable Systems-on-a-Chips (SoCs) employing different microprocessor cores and different types of reconfigurable fabrics are one attractive solution for these domains. The increasing prominence of reconfigurable devices within such systems requires HW/SW co-design for SoCs to address the trade-off between software execution and reconfigurable hardware acceleration. Dynamic reconfiguration capabilities of current reconfigurable devices create an additional dimension in the temporal domain. During the design space exploration phase, overheads associated with reconfiguration and hardware/software interfacing need to be evaluated carefully in order to harvest the full potential of dynamic reconfiguration. The course will introduce the student with the concept of reconfigurability in FPGAs, presenting the available mechanisms and technologies at the device level and the tools and design methodologies required to design reconfigurable FPGA-based systems. The course will present the different aspects of the design of FPGA-based reconfigurable systems, focusing in particular on dynamically self-reconfigurable systems. The design methodologies and tools required to design a dynamically-reconfigurable system will be introduced and described, together with the problems that need to be considered.
Sustainable Urban Water Systems
Politecnico di Milano (via Coursera)
The MOOC “Sustainable Urban Water Systems” aims to provide knowledge about modern and sustainable solutions for urban water management in water-sensitive cities. The focus is on stormwater control and water supply strategies for the mitigation of effects on the water cycles due to human settlements and climate change. In particular, the integration of Nature-based Solutions (NbS) into urban drainage systems, the use of alternative water resources, and the reduction of losses and waste, make cities more resilient and add benefits to both the environment and community.
Platform Thinking: designing a Platform
Politecnico di Milano (via Coursera)
Platforms changed the way we live and we do business. This module of the “Platform Thinking” series aims to help innovators in designing and building platforms. At first sight, it may seem that platforms "simply" connect different kinds of users, as Airbnb links travelers and hosts or as Uber links drivers and riders. Well, this is true: platforms link different kinds of users. Nevertheless, this is just the enabling factor to have a platform, definitely not enough to describe the wide range of activities they actually do. Therefore, this module aims to assess the starting point of creating the platform, identifying the initial set of customers and the main challenging elements to bring the design forward. Then, it digs in the phases of kicking-off a new platform and then in managing its growth over time, becoming a real ecosystem. In other words, the course aims to present the main strategies and tactics to design, launch, and manage a platform. In the end, it introduces platform thinking steps, helping established companies evolve towards a platform model.
Derivatives: a guide to calculation
Politecnico di Milano (via Coursera)
The calculation of derivatives is a key topic in all differential calculus courses, both in school and in the first year of university. It’s also an essential tool used continuously in advanced courses, not only in Mathematical Analysis but in many technical and scientific subjects. Last but not least, derivatives are the fundamental tools of all optimization algorithms, including those used in machine learning and deep learning. This course aims to teach the techniques and rules for calculating the derivatives of any function in a simple yet comprehensive way, ensuring zero mistakes! Lessons are packed with examples and visuals to clarify techniques, along with exercises to reinforce learning. Additionally, we explore the integration of Geogebra and Wolfram Alpha to enhance understanding of derivatives and support calculations, and show how ChatGPT can create dynamic learning experiences and personalized practical sessions. The course includes video lectures (Week 1), solved exercises (Week 2), in-depth notes (Week 3), tutorial for using the digital tools (Week 4) and a final self-assessment quiz.
Trustworthy AI for Healthcare Management
Politecnico di Milano (via Coursera)
This MOOC gives an introduction to trustworthy artificial intelligence and its application in healthcare. This includes modules on basics of artificial intelligence and an introduction to trustworthy and ethical applications of artificial intelligence. A dedicated lesson will present the Z-Inspection® process for assessing trustworthy AI, and real-world case studies will illustrate how to apply the knowledge. The course is aimed at healthcare professionals, patients, and AI practitioners. It does not require previous knowledge on AI. Participants will learn: How AI systems work and learn What tasks can be solved by AI Common challenges for AI in healthcare Fundamentals of Trustworthy AI How to assess Trustworthy AI How Trustworthy AI assessments look in practice This course was developed by Goethe University Frankfurt as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. PERISCOPE website: https://www.periscopeproject.eu/
Archaeoastronomy
Politecnico di Milano (via Coursera)
Archaeoastronomy is the “science of stars and stones”. It is an interdisciplinary science in between architecture, archaeology, and astronomy. It studies the relationships between the ancient monuments and the sky, in order to gain a better understanding of the ideas of the architects of the past and of their religious and symbolic world. The course provides the first complete, easy introduction to this fascinating discipline. During the course, many spectacular ancient sites of archaeology – such as Stonehenge in England, Giza and Karnak in Egypt, Chichen Itzá in the Yucatan, Macchu Picchu in Peru and the Pantheon in Rome – will be visited and the fascinating events occurring there in special days of the year (such as solstices, equinoxes, or the day of the foundation of Rome) will be shown and explained. The course also provides the necessary background on Astronomy with the naked eye and a general introduction to the role of Astronomy in religion and in the management of power among ancient cultures.
Sustainable Textile Manufacturing
Politecnico di Milano (via Coursera)
The MOOC aims to describe the approach to sustainability in the Italian textile manufacturing sector (for clothing and other sectors) with a specific focus on all steps of the production chain. Each video focuses on one step of the supply chain (raw material sourcing, spinning, weaving, design, prototyping, production, integration of innovative technologies in the processes) and tells the state of the art on the sector's sustainable approach, possible plans and interventions, as well as the opportunities that companies will have to seize in the immediate future in terms of social and environmental responsibility. The topics are addressed by Politecnico di Milano lecturers and industry professionals as guest speakers. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: - Acquiring technical knowledge of traditional manufacturing processes - Acquiring technical knowledge about sustainable requirements and solutions - Understanding contemporary change towards sustainability - Understanding of the complexity and multitude of processes and stakeholders along the textile supply chain ACTIVITIES Over and above consulting the content, in the form of videos and other web-based resources, you will have the opportunity to discuss course topics and to share ideas with your peers in the Forum of this MOOC.
Smart Learning Design
Politecnico di Milano (via Coursera)
This MOOC is designed for university and school teachers, trainers, and educational decision-makers. Its aim is to provide logical and methodological tools to effectively integrate and enhance digital resources and technologies in classroom-based teaching. How can we design coherent and impactful learning experiences that strike a balance between in-person and online environments, between traditional classrooms and digital platforms? How can we manage the multiplicity of learning contexts made available by today’s "anytime, anywhere" paradigm? The Smart Learning Design 25 (SLD25) model allows us to break down the complexity of the learning process into its core components (learning events) and then reconnect them in a systematic way—enabling the design of engaging and effective teaching interactions aimed at achieving long-lasting learning outcomes. This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate". For a wider diffusion of the course, learning materials including texts, infographics, diagrams and videos were translated from Italian to English through Artificial Intelligence software. Therefore they may contain inaccuracies.
Artificial Intelligence and legal issues
Politecnico di Milano (via Coursera)
The purpose of the course is to help students understand the legal implications related to the design and use of artificial intelligence systems, providing an overview of the risks and legal protections that can be envisaged and giving an overview of the legislation and legal principles currently applicable on the subject. In particular, the profiles of civil and criminal liability, protection in terms of intellectual property and the impacts of AI on the fundamental rights of the individual - including privacy and the right to non-discrimination – will be examined.
Project Management: Life cycle and project planning
Politecnico di Milano (via Coursera)
Project Management is a fundamental theme to understand and work in any business environments. One of the main skills that Project Managers need to have deals with the ability to manage the project during its entire life-cycle and to plan the work needed to achieve the final result. During the course, the various phases of a typical project are presented. Then, various practical tools are presented aiming to help professionals in actually manage their projects through useful instruments. Among the others, the Scope Statement helps managers in identifying and clearly define what is and what is not part of the project, the Work Breakdown Structure (WBS) helps in identifying the activities, the Organizational Breakdown Structure (OBS) in managing the team, the Responsibility Assignment Matrix (RAM) to match activities and people, while the Gantt Chart provides a time-based view on the project.
Agile Project Management for digital projects
Politecnico di Milano (via Coursera)
Agile Project Management is a cornerstone for managing complexity in dynamic and fast-evolving environments. By focusing on collaboration, flexibility, and delivering customer value iteratively, Agile approaches have transformed how projects are managed. This course delves into Agile principles and SCRUM, the most popular Agile framework. You will learn the foundations of Agile, how SCRUM works, and how to use its tools, roles, and processes to navigate uncertainty and deliver high-quality outcomes. The course offers practical insights into adapting Agile practices to diverse contexts, empowering you to make informed decisions about when and how to use Agile in your projects. At the end of this course, you will be able to: 1. Understand the principles and practices of Agile and SCRUM to manage projects in dynamic environments. 2. Use key SCRUM tools and techniques (e.g., Backlogs, SCRUM Board, Burndown Chart) to plan, track, and adapt projects. 3. Recognize the roles and responsibilities of SCRUM team members and their collaboration dynamics. 4. Evaluate when Agile approaches are appropriate based on project complexity, market conditions, and customer needs. 5. Apply Agile processes to create user stories, plan sprints, and conduct reviews and retrospectives.
New paradigms in wastewater management
Politecnico di Milano (via Coursera)
The water cycle is strictly related to the fair and sustainable development of any society. Appropriate technologies and practices are needed for providing clean water and adequate sanitation to citizens worldwide, while facing environmental and societal challenges, such as climate change and increasing urbanization. Wastewater treatment facilities are nowadays shifting from infrastructures providing effective clean water, sanitation and environmental protection towards advanced biorefineries that can recover valuable resources (as reusable water, biopolymers and nutrients) from wastewater, while aiming at more stringent effluent quality targets, at energy neutrality, and at lowering the overall environmental impact. This MOOC is aimed at providing key elements in relation to the management of the urban water cycle, including both conventional goals and the challenges of the smart cities of the future. This MOOC presents a full picture, although very concise, of present and emerging technologies for wastewater treatment, presented by professors teaching at Politecnico di Milano.
Fundamentals of Organization
Politecnico di Milano (via Coursera)
Organization is a fundamental theme to understand the real functioning of each company or, more in general, of any institution, and it is part of the basic know-how of each manager. Organization design implies decisions on how work is subdivided and how coordination between the various activities and people who autonomously perform them is guaranteed. Moreover, organization design is willing to consider also the interdependences between people daily activities (namely processes): in fact, processes are the real lever to achieve organizational efficiency and effectiveness. Lastly, organization design should also consider how people and units take their decisions, given that organizing and deciding are two central and complementary activities of the managerial function. To achieve these goals, this course aims at explaining you the main concepts of organization, with a strong practical orientation: illustration of typical organizational problems through real corporate examples will be used. But a solid theoretical background is provided as well: the main theories behind organizational design will be used to dig into the main areas of investigation. The course investigates three main areas: the analysis and design of a proper organization, at the micro level (individual) and at the macro level (group of multiple individuals); the analysis of how to effectively manage processes, in terms of activities, performance and principles; the analysis of how to rapidly take decisions, in terms of process, constraints, models and game theory approach.
Water: an essential resource
Politecnico di Milano (via Coursera)
One of the most obvious claims in our everyday life is the importance of water, often called the blue gold. Anyway, we are often incapable of shifting this importance in tangible actions aimed at protecting this resource and optimizing its use. Past and present anthropic pressure has heavily impaired fresh water, usually supplied for drinking water production. Water utilities and water-treatment practitioners were unprepared to effectively face the challenge of a growing high-quality water demand, especially in climate change scenarios. We need to think out of the box, creating multi-disciplinary panels of experts able to exploit the advances in chemistry, environmental engineering, and ICT to effectively join human health protection and economic and social development. In this sense, stakeholders’ involvement is essential to success. This MOOC wants to communicate the challenge of protecting water and then human health from chemical and microbiological hazards, as well as the multidisciplinarity required by this challenge by providing some key elements about water quality, protection and remediation, sustainable drinking water production, online monitoring, and finally advanced computing for process control. Moreover, a broader perspective to investigate the experience of water supply will be introduced. For instance, participants will be invited to observe and understand people’s practices around drinking water, exploring approaches and tools derived from service and product design to support behavioral change. It fulfills SDG6, covering almost all its set targets, but also some relevant targets in SDG11, SDG12, and SGD15, considering the strict connection among safe water provision, robust cities/societies development, and sustainable consumption.
Platform Thinking: exploiting data through platforms
Politecnico di Milano (via Coursera)
(Digital) data are often considered the new oil. Companies often exploit them building platforms, involving different sets of users that generate data – for example, enjoying a digital service through a mobile app – and other organizations that see value in those data and wish to leverage them. This module of the “Platform Thinking” series aims to assess the role of data in digital platforms. We are talking about companies – like social networks – that exploit data to offer personalized advertising or personalized experiences – in services like Netflix or Spotify – but even companies that offer data to external partners for other purposes, like fitness apps that share data with pharmaceutical companies or other health companies. This is a widely intriguing but also a slippery topic, given the amount of data-related scandals we lived over the last few years. Therefore, this course aims to assess the strategies and tactics to exploit data through platforms, highlighting the opportunities and challenges of creating and managing data-driven opportunities. In doing so, we will consider the ethical and policy implications – and related opportunities – to have a transparent and trustable relationship with the end-users. Finally, we will position the data within the platform thinking process.
Developing FPGA-accelerated cloud applications with SDAccel: Theory
Politecnico di Milano (via Coursera)
This course is for anyone passionate in learning how to develop FPGA-accelerated applications with SDAccel! We are entering in an era in which technology progress induces paradigm shifts in computing! As a tradeoff between the two extreme characteristics of GPP and ASIC, we can find a new concept, a new idea of computing... the reconfigurable computing, which has combined the advantages of both the previous worlds. Within this context, we can say that reconfigurable computing will widely, pervasively, and gradually impact human lives. Hence, it is time that we focus on how reconfigurable computing and reconfigurable system design techniques are to be utilised for building applications. One one hand reconfigurable computing can have better performance with respect to a software implementation but paying this in terms of time to implement. On the other hand a reconfigurable device can be used to design a system without requiring the same design time and complexity compared to a full custom solution but being beaten in terms of performance. Within this context, the Xilinx SDx tools, including the SDAccel environment, the SDSoC environment, and Vivado HLS, provide an out-of-the-box experience for system programmers looking to partition elements of a software application to run in an FPGA-based hardware element, and having that hardware work seamlessly with the rest of the application running in a processor or embedded processor. The out-of-the-box experience will provide interesting and, let us say, “good enough” results for many applications. However, this may not be true for you, you may be looking for better performance, data throughput, reduced latency, or to reduce the resources usage... This course is focusing exactly on this. After introducing you to the FPGAs we are going to dig more into the details on how to use Xilinx SDAccel providing you also with working examples on how to optimize the hardware logic to obtain the best of of your hardware implementati...
Communication skills for engineering scholars
Politecnico di Milano (via Coursera)
The course teaches engineering scholars how to improve their communication skills, based on theory, examples and practical exercises. Topics include basics of rhetoric (how to be clear), basics of argumentation theory (how to be persuasive), public speaking, grant writing, scientific writing. The main target are engineering scholars; the first 3 weeks, though, can be useful to anyone wishing to improve their communication skills.
Gender-based violence: how to become an active bystander
Politecnico di Milano (via Coursera)
In this course, you will learn about Gender-Based Violence (GBV): its roots, causes, and manifestations. You will understand that GBV is a global phenomenon that can only be eradicated through collective action. Trigger warning: please be aware that some content of the course (such as Sexual assault, Sexual violence, abuse, LGBTQ+ issues or discrimination) may be distressing or triggering for some individuals. Feel free to step away or skip some of them if needed. If you need support for yourself or for someone you know who may be experiencing acts of gender-based violence, in Italy you can contact the dedicated helpline 1522. At Politecnico di Milano you can also find dedicated support by contacting stalkingsos@polimi.it or consiglieradifiducia@polimi.it Intended Learning Outcomes: 1. Understanding the dimension of the phenomenon of gender based violence 2. Understanding the different forms of gender based violence 3. Understanding the main causes of gender based violence 4. Applying strategies to contrast poor behaviours 5. Learning about new narratives to address GBV 6. Understanding how to face gender based violence and the norms to contrast and prevent it
Agile Project Management: Agile-as-a-Culture, beyond SCRUM
Politecnico di Milano (via Coursera)
Agile has evolved beyond tools and frameworks—it's now a culture that shapes how organizations behave, make decisions, and navigate complexity. This course explores agility as a mindset, highlighting how leadership, team dynamics, and feedback loops create the conditions for continuous learning and adaptation. Through real-world examples from companies like Spotify, GE, Saab, and Moderna, learners will understand how to embed agility into organizational culture. You will discover the human side of Agile: servant leadership, enabling roles, team alignment, and the practices that empower autonomous, purpose-driven teams. This course provides the mindset and cultural foundations to support Agile practices at scale. At the end of this course, you will be able to: 1. Understand the concept of Agile-as-a-Culture and how it differs from Agile as a framework. 2. Recognize the role of mindset, leadership, and trust in enabling Agile teams. 3. Evaluate how hybrid models integrate Agile and traditional project management principles. 4. Apply principles of servant and enabling leadership to support Agile transformation. 5. Use feedback and cultural alignment tools to enhance team performance and autonomy. 6. Reflect on real-world applications of Agile culture across industries and contexts.
The Learning Innovation Network
Politecnico di Milano (via Coursera)
Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation. A set of logical and methodological tools to innovate teaching, finding the most suitable approaches with one’s own vision of the teaching-learning experience. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: apply the Learning Innovation Network framework to describe and design your course; design your course taking into consideration the characteristics of all the actors involved in the network; apply simple strategies for managing an active approach in small, medium and large classrooms; design and produce quality teaching materials also enhancing the availability of “Open Educational Resources”; leverage the external world to design and manage your course. THE MOOC-BOOK: MATERIALS AND ACTIVITIES The MOOC is realized in a strongly integrated way with the book “Designing Learning Innovation” published by Pearson (the english version is the translation of the italian one already published and accessible here https://www.bookrepublic.it/ebook/9788891926067-designing-learning-innovation-pearson/) In the course you will find video lessons and infographic articulated as in the book. You will also encounter different types of activities which will contribute to make your experience richer and more complete.
Developing FPGA-accelerated cloud applications with SDAccel: Practice
Politecnico di Milano (via Coursera)
This course is for anyone passionate about learning how to develop FPGA-accelerated applications with SDAccel! The more general purpose you are, the more flexible you are and the more kinds of programs and algorithms you can execute on your underlying computing infrastructure. All of this is terrific, but there is no free food and this is happening, quite often, by losing in efficiency. This course will present several scenarios where the workloads require more performance than can be obtained even by using the fastest CPUs. This scenario is turning cloud and data center architectures toward accelerated computing. Within this course, we are going to show you how to gain benefits by using Xilinx SDAccel to program Amazon EC2 F1 instances. We are going to do this through a working example of an algorithm used in computational biology. The huge amount of data the algorithms need to process and their complexity raised the problem of increasing the amount of computational power needed to perform the computation. In this scenario, hardware accelerators revealed to be effective in achieving a speed-up in the computation while, at the same time, saving power consumption. Among the algorithms used in computational biology, the Smith-Waterman algorithm is a dynamic programming algorithm, guaranteed to find the optimal local alignment between two strings that could be nucleotides or proteins. In the following classes, we present an analysis and successive FPGA-based hardware acceleration of the Smith-Waterman algorithm used to perform pairwise alignment of DNA sequences. Within this context, this course is focusing on distributed, heterogeneous cloud infrastructures, providing you details on how to use Xilinx SDAccel, through working examples, to bring your solutions to life by using the Amazon EC2 F1 instances.
Project Management: Beyond planning and control
Politecnico di Milano (via Coursera)
Project Management is a fundamental theme to understand and work in any business environments. Projects are the organizational way to make innovation happen and to realize any kind of custom solution or to change how an organization work. Project Management is the set of capabilities, skills and tools to properly work on projects. The course aims to define the concept of a project and to show how, in the management of a successful business, project management and process management must coexist and integrate. During the course the project is analyzed as a managerial tool for the management of change and innovation and its links with the company strategy are emphasized.
Strengthening territorial response for better health
Politecnico di Milano (via Coursera)
This course was developed by the reference network for the European Regional and Local Health Authorities (EUREGHA), Agència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS), and Mental Health Europe (MHE) as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
Project Management: Control using the Earned Value and Risk
Politecnico di Milano (via Coursera)
Project Management is a fundamental theme to understand and work in any business environments. Once projects are properly planned, the job of a Project Manager is just started. Indeed, PMs need to properly control, re plan, and manage risks during the execution of the project. During the course, the Earned Value Management System – the standard and most diffused technique to properly manage time and cost in a project – is presented. In doing so, the concepts of BCWS (the time-phased budget), the BCWP (the earned value) and ACWP (the actual costs of what has been performed) are introduced along with the main indicators that help managers in taking decision on how to replan the projects according to the estimation at completion. Finally, the main approaches to identify and manage risks are introduced along with the closing phase.
Data Science for Business Innovation
28DIGITAL
This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped. You will learn: the value that Data Science can create the main classes of problems that Data Science can solve the difference is between descriptive, predictive, and prescriptive analytics the roles of machine learning and artificial intelligence. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques. It discusses the role of NoSQL data models and technologies, and the role and impact of scalable cloud-based computation platforms. All topics are covered with example-based lectures, discussing use cases, success stories, and realistic examples. Following this nano-course, if you wish to further deepen your data science knowledge, you can attend the Data Science for Business Innovation live course https://professionalschool.eitdigital.eu/data-science-for-business-innovation
Tools and Practices for Addressing Pandemic Challenges
Politecnico di Milano (via Coursera)
An overview of the tools, techniques, and practices that can be enacted by policy makers, countries, and organizations to monitor, manage, and react to pandemics and mitigate and govern their impacts. An introductory, multidisciplinary course covering data science, social science, healthcare, and management, paving the way to various courses on specific matters. This course is part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
Being a researcher (in Information Science and Technology)
Politecnico di Milano (via Coursera)
The course provides a broad view of how to become and progress as a researcher. It spans over a wide range of topics, from the historical development of scientific thought to research methodology, to the pragmatics of publication, research funding, evaluation, and promotion in a researcher’s career. It also stresses the ethical aspects of research. Although the course speaks about scientific research in general, it especially focuses on the field on Information and Communication Science and Technology. The course is mainly directed to students engaging in research and beginning researchers. It may also be of interest for senior researcher in their role as supervisors or mentors, and to all those who are interested in how scientific research works. The main topics addressed in the course are: Research, its historical development, and its role in society; Research methodology; The products of research: publications and artifacts; The professional researcher: roles and career progress; Research evaluation, from peer review to bibliometrics; Research ethics.
Introduzione alla fisica sperimentale: elettromagnetismo, ottica, fisica moderna
Politecnico di Milano (via Coursera)
Il corso affronta le tematiche dell'elettromagnetismo e dell'ottica, fornendo le nozioni che risultano utili per affrontare insegnamenti di fisica di base, a partire dalla comprensione del metodo sperimentale per poi mostrare le grandezze fondamentali e loro relazioni in tali ambiti, imparando a identificarle, distinguerle e utilizzarle. Gli argomenti affrontati relativamente all'elettromagnetismo sono, divisi per settimane: · campo elettrico, conduttori, condensatori e materiali dielettrici · corrente elettrica, campo magnetico e materiali magnetici mentre per l'ottica si ha · onde elettromagnetiche, ottica geometrica e ottica ondulatoria con un'ultima settimana di accenno alla fisica moderna. All’interno di ogni settimana si trovano video relativi a lezioni, esercizi ed approfondimenti su alcuni argomenti, nonché quiz a risposta chiusa allo scopo di fornire allo studente l’opportunità di un primo feedback di auto-valutazione. Ognuna delle tematiche si chiude poi con un quiz riepilogativo per verificare l’acquisizione delle nozioni presentate.
Fundamentals of financial and management accounting
Politecnico di Milano (via Coursera)
This is an introductory course on financial and management accounting. The first part of this course will introduce the basic accounting principles and accounting terminology to understand how a company keeps control of financial events and provides information on how it is performing. These basic concepts will support the analysis of financial reports companies prepare. We will go through balance sheet, income statement, financial statement, learning how to read and analyze them. The course will also provide the basis of management accounting introducing some techniques (e.g. break- even analysis or NPV) to support managers in making short-term and long-term decisions, such as "Is it convenient to dispose a production machine and buy a new one?" or "How many products should the company sell in order to break-even?" The course will bring examples and case studies that will help students better understand the practical applications of the basic accounting principles and techniques. At the end of the course, students will be able to read, understand and analyze financial documents and to apply simple techniques to analyse costs and evaluate capital investment decisions.
Le Derivate: come si calcolano
Politecnico di Milano (via Coursera)
Il calcolo delle derivate è uno argomento fondamentale di tutti i corsi di calcolo differenziale sia a scuola che al primo anno di università. Inoltre, costituisce uno strumento di utilizzo continuo in tutti i corsi successivi non solo di Analisi Matematica ma di moltissime materie tecnico-scientifiche. Inoltre, è alla base di tutti gli algoritmi di ottimizzazione, usati ad esempio in machine learning. Il corso è costituito da video lezioni, schede di approfondimento, esercizi svolti, e da un quiz finale per l’autovalutazione. Questo corso si propone, in modo semplice ma completo, di insegnare le tecniche e le regole di derivazione per ottenere le derivate di tutte le funzioni senza sbagliare mai! Le lezioni sono corredate da esempi e grafiche che aiutano la comprensione delle tecniche e da esercizi che aiutano a consolidare l’apprendimento anche grazie all'uso di strumenti e piattaforme digitali come geogebra, wolfram alpha e GenAI Il corso, diviso in week, è costituito da video lezioni (Week 1), esercizi svolti (Week 2), schede di approfondimento (Week 3), tutorial per l'uso degli strumenti digitali (Week 4) e da un quiz finale per l’autovalutazione. Le video lezioni sono così strutturate: Lezione 1: Il concetto di derivata e la sua interpretazione geometrica. Lezione 2: Viene fornita la tabella delle derivate delle funzioni elementari, per l’utilizzo immediato. La dimostrazione della loro validità è contenuta nelle lezioni 8 e 9 Lezioni 3, 4, 5, 6, 7: Vengono presentate, tramite dimostrazioni intuitive ed esempi, rispettivamente le regole di derivazione della somma, del prodotto, del quoziente e della composta di due funzioni, e la regola di derivazione dell’inversa di una funzione. Lezioni 8 e 9: vengono dimostrate le regole per le derivate elementari rispettivamente per logaritmi, esponenziali e potenze, e per sin(x) e le altre funzioni trigonometriche. Lezione 10: Il corso si conclude con una esercitazione di riepilogo.
Designing Learning Innovation: an introduction
Politecnico di Milano (via Coursera)
Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation. A set of logical and methodological tools to innovate teaching, finding the most suitable approaches with one’s own vision of the teaching-learning experience. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: Use basic theoretical-methodological tools (such as Constructive Alignment and the Learning Innovation Network) to enhance teaching coherence between learning objectives, assessment methods and learning experiences; apply pedagogical frameworks of the active learning methodology to the design either an individual teaching module or an entire teaching path; evaluate advantages and disadvantages, in the field of your own teachings, of traditional evaluation approaches compared to the new assessment strategies, in particular those oriented to the formative evaluation. THE MOOC-BOOK: MATERIALS AND ACTIVITIES The MOOC is realized in a strongly integrated way with the book “Designing Learning Innovation” published by Pearson (the english version is the translation of the italian one already published and accessible here https://www.bookrepublic.it/ebook/9788891926067-designing-learning-innovation-pearson/) In the course you will find video lessons and infographic articulated as in the book. You will also encounter different types of activities which will contribute to make your experience richer and more complete.
Introduzione alla Storia dell'Architettura Contemporanea
Politecnico di Milano (via Coursera)
Con un viaggio tra le opere più note di alcuni grandi maestri del Novecento, questo corso offre un punto di vista utile per interpretare le vicende dell’architettura, ovvero dell’arte di costruire spazi per la nostra vita quotidiana. Il corso si articola in tre settimane, ognuna dedicata all’approfondimento di un tema specifico: la prima settimana presenta i capolavori del Novecento, la seconda ripercorre il lavoro di due maestri della cultura architettonica italiana, la terza conduce nella visita di alcune opere recenti dei maestri contemporanei. Ogni settimana è articolata in brevi lezioni; al termine di ciascuna viene proposto un quiz per verificare le conoscenze acquisite.
Machine Learning: an overview
Politecnico di Milano (via Coursera)
The course provides a general overview of the main methods in the machine learning field. Starting from a taxonomy of the different problems that can be solved through machine learning techniques, the course briefly presents some algorithmic solutions, highlighting when they can be successful, but also their limitations. These concepts will be explained through examples and case studies.
Reaching Vulnerable Groups through Pandemic Policy
Politecnico di Milano (via Coursera)
This course aims to provide an in-depth reflection on social work in different contexts, hereby focusing on their needs, the way the contexts have been influenced, and different challenges that have occurred during the last two years. It aims to set up conversations with multiple professionals where they give information about the hurdles on their path, the lessons learned from these turbulent times, and to give an overview of important ideas and practices that could help reshape the future of social work. In the end, the goal is to provide specific, hands-on, best practices collected from literature and professionals in Belgium and Europe that help organise social work, both during and after a pandemic. This course was developed as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.periscopeproject.eu/). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks.
FPGA computing systems: A Bird’s Eye View
Politecnico di Milano (via Coursera)
Nowadays the complexity of computing systems is skyrocketing. Programmers have to deal with extremely powerful computing systems that take time and considerable skills to be instructed to perform at their best. It is clear that it is not feasible to rely on human intervention to tune a system: conditions change frequently, rapidly, and unpredictably. It would be desirable to have the system automatically adapt to the mutating environment. This course analyzes the stated problem, embraces a radically new approach, and it introduces how software and hardware systems ca ben adjusted during execution. By doing this, we are going to introduce the Field Programmable Gate Arrays (FPGA) technologies and how they can be (re)configured.
Ethics of Artificial Intelligence
Politecnico di Milano (via Coursera)
The MOOC deals with the ethical issues created, aggravated or transformed by AI. It is intended to give students a chance to reflect on the impact of AI on ethical, social and cultural aspects by focusing on the issues faced by and brought about by professionals in AI and information technologies. The MOOC will address these topics by means of case studies and examples analyzed by using the main ethical frameworks. By actively participating in this MOOC, you will achieve different intended learning outcomes (ILOs). Acquire a broad perspective on the ethical impacts and societal implications of AI. Learn how to recognize and analyze ethical and social issues inherent in AI. Be able to understand how technical problems are connected to a social dimension within a socio-technical perspective. Be able to use critical skills in clarifying and ethically analyzing case-studies involving AI technologies. Be better prepared for professional life in an ethically and socially responsible way. This MOOC was produced as part of the Edvance project – Digital Education Hub per la Cultura Digitale Avanzata. The project is funded by the European Union – Next Generation EU, Component 1, Investment 3.4 “Didattica e competenze universitarie avanzate".
Advanced Recommender Systems
28DIGITAL
In this course, you will see how to use advanced machine-learning techniques to build more sophisticated recommender systems. Machine Learning is able to provide recommendations and make better predictions, by taking advantage of historical opinions from users and building up the model automatically, without the need for you to think about all the details of the model. At the end of the Advanced Recommender Systems, you will know how to manage hybrid information and how to combine different filtering techniques, taking the best from each approach. More, you will know how to use factorisation machines and represent the input data accordingly and be able to design more sophisticated recommender systems, which can solve the cross-domain recommendation problem. The course leverages two important 28DIGITAL Overarching Learning Outcomes (OLOs), related to your creativity and innovation skills. In trying to design a new recommender system, you need to think beyond boundaries and try to figure out how you can improve the quality of the outcomes. You should also be able to use knowledge, ideas and technology to create new or significantly improved recommendation tools to support choice-making processes and solve real-life problems in complex and innovative scenarios.
One Health: Pandemic preparedness, prevention, and response
Politecnico di Milano (via Coursera)
This course was developed by the Karolinska Institutet (KI) and the Federation of the European Academies of Medicine (FEAM) as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE). Funded by the European Commission Research Funding programme Horizon 2020 under the Grant Agreement number 101016233, PERISCOPE investigates the broad socio-economic and behavioural impacts of the COVID-19 pandemic, to make Europe more resilient and prepared for future large-scale risks. This course is primarily aimed at highly specialised technical professional groups (healthcare authorities, policymakers, researchers and other academics) interested in learning more about the One Health approach. The modules are for participants who are likely to have previous knowledge about the concept in one specific area or pillar but not necessarily in all of them. The course will provide basic knowledge and contextualisation of One Health in creeping crises, such as the COVID-19 pandemic. Attending the course, participants will identify enablers, limitations, barriers, and next steps in and to the One Health concept and operationalisation. PERISCOPE website: https://www.periscopeproject.eu/ KI website: https://ki.se/en FEAM website: https://www.feam.eu/
Platform Thinking for the Metaverse
Politecnico di Milano (via Coursera)
Welcome to "Platform Thinking for the Metaverse," a MOOC designed to introduce you to the concept of platform thinking and its application in the creation and development of virtual worlds, and more broadly on how to deal with new disruptive (digital) technologies.. In this course, we will explore the concept of disruptive technologies and technological cycles and how they have shaped the development of the Metaverse. We will also delve into the concept of mediamorphosis and the role it plays in matching virtual and real worlds. We will examine the technologies behind the Metaverse and the implications for platform models. We will also look back at the history of the Metaverse and consider its future development. Finally, we will discuss the importance of adopting a platform thinking mindset as we approach the Metaverse and consider the role of platform providers and complementors. Whether you're a business professional, entrepreneur, or simply interested in the future of virtual worlds, this course will provide valuable insights and knowledge on the role of platform thinking in the Metaverse.
Designing Learning Innovation
Politecnico di Milano (via Coursera)
Where to start to innovate your teaching? But before that, what does it mean to innovate in the classroom? Designing Learning Innovation aims to put the designing culture at the service of learning innovation, supporting those who do not have a specific pedagogical background and those who wish to learn the basic tools of a good teaching design then to continue exploring the frontiers of innovation. A set of logical and methodological tools to innovate teaching, finding the most suitable approaches with one’s own vision of the teaching-learning experience. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: Use basic theoretical-methodological tools (such as Constructive Alignment and the Learning Innovation Network) to enhance teaching coherence between learning objectives, assessment methods and learning experiences; apply pedagogical frameworks of the active learning methodology to the design either an individual teaching module or an entire teaching path; evaluate advantages and disadvantages, in the field of your own teachings, of traditional evaluation approaches compared to the new assessment strategies, in particular those oriented to the formative evaluation; apply simple strategies for managing the active class in small, medium and large classrooms; designing and producing quality teaching materials also enhancing the availability of “Open Educational Resources”. THE MOOC-BOOK: MATERIALS AND ACTIVITIES The MOOC is realized in a strongly integrated way with the book “Designing Learning Innovation” published by Pearson (the english version is the translation of the italian one already published and accessible here https://www.bookrepublic.it/ebook/9788891926067-designing-learning-innovation-pearson/) In the course you will find video lessons and infographic articulated as in the book. You will also encounter different types of activities which will contribute to make your experience richer and m...
Learning with AI
Politecnico di Milano (via Coursera)
Being able to learn effectively has always been one of the most valuable skills, and today, the rise of Artificial Intelligence accessible to everyone makes it even more essential. The "Learning with AI" course will guide you through the discovery of key AI tools, such as Large Language Models (LLMs), and teach you how to leverage them through a structured approach, making your learning process more effective and personalized. Throughout this journey, you'll engage with stories of people like you—individuals eager to learn something new to achieve their goals. The course you're about to start is called AIMOOK (Artificial Intelligence Mentored Online Open Knowledge), a hybrid learning environment combining the AIbook and MOOC formats. This approach provides an interactive, flexible, and personalized experience powered by AI, featuring: Integrated AIbook – An interactive digital book with adaptive learning paths. AItivities – Hands-on exercises guided by the AIbook. Metacognitive Exercises – Critical reflections on the use of AI in learning. Infographics – Visual aids to enhance comprehension. Podcast with experts – Insights from international specialists. By successfully completing the course and passing the assessment tests, you'll earn an Open Badge, certifying your acquired skills. Total workload: 25 hours (including content, exercises, and independent study) The MOOC is divided into 3 weeks: Week 1 – The Power of Learning The first week introduces you to the power of learning, a crucial resource for tackling today’s challenges. You'll explore the Smart Learning Design (SLD) method, which structures learning events to make the process more effective, structured, and personalized. Additionally, you'll dive into the landscape of AI tools, such as Large Language Models (LLMs), and uncover their potential in enhancing learning. Week 2 – Steps of learning to learn The second week is structured into specific phases, each offering an opportunity to understand how y...
Data science perspectives on pandemic management
Politecnico di Milano (via Coursera)
The COVID-19 pandemic is one of the first world-wide scenarios where data made a difference in capturing and analyzing the diffusion and impact of the disease. We offer an introductory course for decision makers, policy makers, public bodies, NGOs, and private organizations about methods, tools, and experiences on the use of data for managing current and future pandemic scenarios. This course describes modern methods for data-driven policy making in the context of pandemics. Discussed methods include policy making, innovation, and technology governance; data collection from citizens, crowdsourcing, gamification, and game with a purpose (GWAP); crowd monitoring and sensing; mobility and traffic analysis; disinformation and fake news impacts; and economical and financial impacts and sustainability models. Methods, tools, and analyses are presented to demonstrate how data can help in designing better solutions to pandemics and world-wide critical events. In this course you will discover the role of policy making and technology governance for managing pandemics. You will learn about methods like crowdsourcing, gamification, sensing of crowds and built environments, and contact tracing for understanding the dynamics of the pandemic. You will understand the risk of disinformation and its impact on people perception and decisions. The course also covers the financial models that describe the pandemic monetary impact on individuals and organizations, as well as the financial sustainability models that can be defined. Thanks to this course you will get a deeper understanding of motivations, perceptions, choices, and actions of individuals in a pandemic setting, and you will be able to start defining appropriate mitigation actions. This course was developed by a set of European research and education institutions as part of the research project 'Pan-European Response to the Impacts of the COVID-19 and future Pandemics and Epidemics' (PERISCOPE, https://www.perisc...
Modelling and measuring the Energy Transition
Politecnico di Milano (via Coursera)
This MOOC provides attendants with fundamental knowledge about the main challenges in modelling the energy transition at both global and regional levels, as well as the industrial ecology instruments to measure the associated impacts. The course begins by covering national energy accounting and the definition of a reference energy system, followed by an introduction to modelling for energy planning through linear programming. Participants will be engaged in hands-on practice using Excel. Additionally, scenario analysis principles are provided to help participants wisely discuss the results of practical case studies. Next, the course covers national economic accounting and the use of monetary input-output tables for national and multiregional applications, such as computing carbon footprints. Participants will also learn about Leontief’s production and impact model, which is demonstrated through another Excel-based hands-on session. Lastly, students will be introduced to the use of MARIO, an in-house, Python-based open-source tool for regional and multi-regional impact assessment studies based on Input-Output Analysis. By the end of the MOOC, participants will acquire a strong foundational knowledge for scientifically approaching the global energy transition; they will be able to understand and interpretate national economic and energy accounting tables, as well as to apply specific tools freely available to plan energy interventions and to assess their impacts.
Basic Recommender Systems
28DIGITAL
The Basic Recommender Systems course introduces you to the leading approaches in recommender systems. The techniques described touch both collaborative and content-based approaches and include the most important algorithms used to provide recommendations. You'll learn how they work, how to use and how to evaluate them, pointing out benefits and limits of different recommender system alternatives. After completing this course, you'll be able to describe the requirements and objectives of recommender systems based on different application domains. You'll know how to distinguish recommender systems according to their input data, their internal working mechanisms, and their goals. You’ll have the tools to measure the quality of a recommender system and incrementally improve it with the design of new algorithms. You'll learn as well how to design recommender systems tailored for new application domains, also considering surrounding social and ethical issues such as identity, privacy, and manipulation. Providing affordable, personalised and high-quality recommendations is always a challenge! The course also leverages two important EIT Overarching Learning Outcomes (OLOs), related to creativity and innovation skills. In trying to design a new recommender system you need to think beyond boundaries and try to figure out how you can improve the quality of the predictions. You should also be able to use knowledge, ideas and technology to create new or significantly improved recommendation tools to support choice-making processes and strategies in different and innovative scenarios, for a better quality of life.
Platform Thinking: what’s beyond Uber?
Politecnico di Milano (via Coursera)
Over the last two decades, platforms have transformed the way, we search for information (e.g., Google), buy goods (e.g., Amazon), consume news and media (e.g., Facebook and Twitter) and travel and move around (e.g., Airbnb, Booking.com, Uber and TripAdvisor). This phenomenon is known as 'the power of platforms', defined as an innovative business model that relies on digital technologies to assemble people, knowledge and companies in an interactive ecosystem where value can be created, captured and shared. These platforms have a great ability to attract funds and grow rapidly, relying on external resources (e.g. private houses for Airbnb or private cars for Uber), with a significant impact on the market. These companies act as intermediaries, attempting to reduce frictions in the market and helping the supply and demand sides of a product or service to find each other. As such, existing companies may be inspired by these fast-growing companies to at least partially capture the opportunities underpinning the model. Most of them are digital companies mainly focusing on the service field; nevertheless, recent cases show how platforms are having an impact in many different industries with the spread of the sharing economy and implications in the brick and mortar industries. This course aims to identify the elements that make platforms such a relevant and interesting business model defining the concept of "Platform thinking", defined as the ability to see the potentialities derived from platform-based models while fostering innovation in the digital world but also in traditional and established businesses. The course is based on the definition of platforms, taking a historical view on the evolution of this complex concept that became a buzzword, introducing Platform Thinking.
Technologies and platforms for Artificial Intelligence
Politecnico di Milano (via Coursera)
This course will address the hardware technologies for machine and deep learning (from the units of an Internet-of-Things system to a large-scale data centers) and will explore the families of machine and deep learning platforms (libraries and frameworks) for the design and development of smart applications and systems.
Introduzione alla fisica sperimentale: meccanica, termodinamica
Politecnico di Milano (via Coursera)
Il corso affronta le tematiche della meccanica e della termodinamica, fornendo le nozioni che risultano utili per affrontare insegnamenti di fisica di base, a partire dalla comprensione del metodo sperimentale per poi mostrare le grandezze fondamentali e loro relazioni in tali ambiti, imparando a identificarle, distinguerle e utilizzarle. Gli argomenti affrontati relativamente alla meccanica sono, divisi per settimane: · cinematica del punto materiale ed esempi di moti · dinamica del punto materiale ed esempi di forze · lavoro, energia, urti e gravitazione universale mentre per la termodinamica si ha · cinematica e dinamica dei liquidi ideali · temperatura, gas ideali, calore, macchine termiche ed entropia All’interno di ogni settimana si trovano video relativi a lezioni, esercizi ed approfondimenti su alcuni argomenti, nonché quiz a risposta chiusa allo scopo di fornire allo studente l’opportunità di un primo feedback di auto-valutazione. Ognuna delle tematiche si chiude poi con un quiz riepilogativo per verificare l’acquisizione delle nozioni presentate.
Circular business models fostering sustainability
Politecnico di Milano (via Coursera)
The course will start with the basic concept of Circular Economy, its definition, core characteristics, and differences with the linear economy. The definition of Circular Economy will then be enriched with the main frameworks for understanding Circular Economy (e.g., the butterfly diagram and the RESOLVE model). Additionally, the course will give some practical examples of companies applying Circular Economy principles. Having defined the concept, the course will deepen the topic from a business model perspective: frameworks and tools will be presented as a valuable means to design and evaluate Circular Business Models. Besides, the transition from linear to circular economy involves not only the company per se but also the whole business ecosystem. Accordingly, the concept of circular ecosystems will be defined together with the rationale behind the need for circular ecosystems. The course will also unveil the role of platforms in enabling the transition towards Circular economy. The course ends by identifying the main factors impacting Circular Economy adoption and investigating their role in the transition from linear to circular economy: digital technologies, policies and financing mechanisms. INTENDED LEARNING OUTCOMES (ILOs) If you actively participate in this course, at the end you will be able to: WEEK 1 - Define the concept of Circular Economy - List its principles and clearly differentiate linear economy from circular economy - Describe the main models at the core of Circular Economy (e.g., the Butterfly Diagram) - Get to know some practical examples of companies applying Circular Economy principles - List its principles and clearly differentiate linear economy from circular economy WEEK 2 - Describe the classification of Circular Economy business models - Use a useful and handy tool to frame a successful Circular Economy Business Model - Define the concept of circular ecosystem and its rationale - Explain the role ...