COURSE DESCRIPTION
Today, many industries face an increase in the design of dependable systems, often with a multitude of challenges including more complex electronics and intensive software. At the same time, most of the engineers graduating from universities do not have skills in designing fault tolerant systems.
This online course aims to give engineers and students a toolbox of fail-safe design concepts, addressing both hardware and software techniques, such that they can understand the rationales for suitable mitigation strategies.
In this course you will learn state-of-the-art statistical modelling for the purpose of analysing industrial data. The course also presents the basics of relational databases and data manipulation techniques needed to prepare the data for analysis.
This course makes you acquainted with the concept of systems-of-systems (SoS), which means that independent systems are collaborating. It gives you an understanding why SoS is an important topic in the current digitalisation and provides a theoretical and practical foundation for understanding important characteristics of SoS. It also gives you a deeper knowledge in a number of key concerns that need to be considered when engineering SoS. Admitted students may join the course any time between September 2 and October 6, 2024. With the recommended study pace of 25%, the course would take approximate seven calendar weeks to complete. Higher or lower study pace is possible as long as the course is finished no later than January 19, 2025.
The purpose is to give the students an overview of issues and methods for development and assurance of safety-critical software, including details of selected technologies, methods and tools. The course includes four modules: Introduction to functional safety; knowledge that give increased understanding of the relationship between Embedded systems / safety-critical system / accidents / complexity / development models (development lifecycle models) / certification / “the safety case”. Analysis and modelling methods; review of analysis and modelling techniques for the development of safety-critical systems. Verification and validation of safety critical software, methods and activities to perform verification and validation. Architectures for safety critical systems. Safety as a design constraint.
Målet med kursen är att ge lärare fortbildning inom ämnet djurvälfärd och hållbarhet. Kursens mål är också att ge lärare inspiration att designa sin egen undervisning, att ge lärare möjlighet att ta till sig ny forskning och att dela med sig av läraktiviteter som kan användas av fler.
With concerns about climate and global environmental changes, extreme events, and increases in social, economic, and political shocks, the concept of resilience is proving popular across a range of sectors as a way to understand and respond to our surprise-riddled world. This concept is now presented in a course led by the Stockholm Resilience Centre and the Centre for Complex Systems in Transitions and includes the latest research and practice on resilience. Resilience thinking includes the ability to persist in the face of challenges, adapt to new realities, or transform to fundamentally new paths for development. Resilience thinking is more than a theory, more than a set of tools. It is a way of seeing the world, offering a new perspective of how change in the world happens. Resilience thinking provides a new approach for building understanding and taking action in a complex world that is deeply interconnected and ever-changing. A world where controlled, planned approaches, existing knowledge and current solutions are not enough to effectively respond to the challenges in a highly dynamic and uncertain future. Addressing poverty, injustice, and inequality, and advancing human well-being remains a major ambition and challenge for the 21st century, and it now needs to consider that development will happen in a context radically different from the past. This course includes case studies and examples from practitioners who are working with resilience concepts in diverse contexts around the world. It is supported by strong scientific evidence and committed to being a platform to bring together and spark collaboration between individuals and organizations from around the world who are driven to transform development. This course is for: Development practitioners, policymakers and managers within development agencies around the world, as well as those working in the field with an interest in resilience thinking as it relates to development policy and practice.Students who are interested in the intersection of resilience, sustainability and development, and with a general interest in both local and global sustainability challengesAnyone with an interest in development, resilience thinking, and sustainability
The course is part of the programme MAISTR (hh.se/maistr) where participants can take the entire programme or individual courses. The course is for professionals and is held online in English. Application is open as long as there is a possibility of admission. The courses qualify for credits and are free of charge for participants who are citizens of any EU or EEA country, or Switzerland, or are permanent residents in Sweden. More information can be found at antagning.se. About the course Critical design and practical ethics for AI, 3 credits Who is this course for? Artificial Intelligence (AI) is being increasingly implemented and used in society today. It has already proven to have an impact on the individual, organization and society, and this impact will most likely only increase. Therefore, it is important to understand the ethical issues that may arise from use of AI, as well as to adopt a critical stance to the technology’s impact. The course introduces critical and ethical issues surrounding data and society, to train the student to problematize and reason about artificial intelligence (AI). You are most likely a designer, innovator, or product manager that works with digital services and products. What will you learn from this course? The course deals with different perspectives on AI and its real and potential effect on organizations and society. The course is based on five different perspectives on AI: accountability, surveillance capitalism, power and bias, sustainability, and trust. The course material consists of recent and relevant literature on the impact of, and critical perspectives on AI. Active discussions founded in different ethical perspectives are also an important part of the course. What is the format of this course? This course is primarily self-paced, with a few synchronous meetings. Most activities are based on the student’s having consumed specified material beforehand, such as video lectures, podcasts, articles, and books. Active discussions, both in online forums and during synchronous meetings, are an important part of the course.