DIGITAL TWINS IN VIRTUAL PRODUCTION

The rapid development of digital technologies and advances in communications have led to gigantic amounts of data with complex structures called ‘Big data’ being produced every day at exponential growth. The aim of this course is to give the student insights in fundamental concepts of machine learning with big data as well as recent research trends in the domain. The student will learn about problems and industrial challenges through domain-based case studies. Furthermore, the student will learn to use tools to develop systems using machine-learning algorithms in big data.

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.

The course consists of three parts that introduce and explore the design of extended realities along different axes: a framing perspective, illustrating what XR is, how it has evolved, and how designing XR differs from traditional digital design practices; a methodological perspective, detailing those XR-specific theory and methods that address XR design issues; and a practical perspective, exploring best practices and concrete design activities through direct application of these to a case. Each part consists of lectures, readings, supervision, and an assignment centered on the specific topics discussed in the part of the course.Assignments are carried out by students individually and will be peer-reviewed first and then discussed with the teachers and the class using a design critique approach.

Discover the basics of computer vision and its role in Industry 4.0.Humans are in the midst of what is referred to as the Fourth Industrial Revolution, or Industry 4.0: the advent of new technologies that will forever change the face of business, and chief among them is computer vision. This three-week course from the Luleå University of Technology will give you a solid introduction to computer vision and help you explore its effects on industry and business. Once you complete the course, you’ll understand the potential applications of computer vision and be empowered to shape its future. This course will guide you through this journey to have a better understanding of the techniques that stand behind this field, and how you can get the benefit of using CV in your current business. The course will cover he concepts of the following fields, image processing, machine learning, deep learning, and use cases of computer Vision in business. Anyone in industry and academia who wants to boost their digital skills and gain confidence in how computer vision practices have evolved and might add a noticeable positive impact to their business and careers. This may include:  Employees, Executives, Directors, Senior Managers, Founders, and Entrepreneurs  Undergraduates and post-graduates  Researchers, teachers from majors related to business This course will be given in English.

Today's ever-growing AI technology offers many different business opportunities. However, starting an AI project and maximizing the balance between business impact and resources is still a challenging task, requiring a thorough understanding of what AI can and cannot do for your business. This free course will give you an introduction to: What you can use artificial intelligence for How you as a business leader should approach AI from a business strategy perspective What key strategic decisions you need to make upfront What skills you need to succeed How you should start and proceed with different steps of your project The course was developed in collaboration with EIT Digital. See all free online courses that KTH offers

Today's ever-growing AI technology offers many different business opportunities. However, starting an AI project and maximizing the balance between business impact and resources is still a challenging task, requiring a thorough understanding of what AI can and cannot do for your business. This free course will give you an introduction to: What you can use artificial intelligence for How you as a business leader should approach AI from a business strategy perspective What key strategic decisions you need to make upfront What skills you need to succeed How you should start and proceed with different steps of your project The course was developed in collaboration with EIT Digital. See all free online courses that KTH offers