INTRODUCTION TO VISION ON SENSING AND FRAMEWORKS

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 Smart Healthcare with Applications, 4 credits Who is this course for?The course suits you with any Bachelor’s degree (equivalent of 180 Swedish credit points / ECTS credits at an accredited university) who have an interest in applying Artificial Intelligence (specifically Machine Learning) to healthcare. Leadership/management experience in health-related organization/industry OR a Bachelor degree in computer science is advantageous. What will you learn from this course?Healthcare as a sector together with other health-related sources of data (municipalities, home sensors, etc.), is now in a place and can take advantage of what data science, Artificial Intelligence (AI), and machine learning (ML) have to offer. Information-driven care has the potential to build smart solutions based on the collected health data in order to achieve a holistic fact-based picture of healthcare, from an individual to system perspective. This course aims to provide a general introduction to information-driven care, challenges, applications, and opportunities. Students will get introduced to artificial intelligence and machine learning in specific, as well as some use cases of information-driven care, and gain practice on how a real-world evidence project within information-driven care is investigated. What is the format for this course?Instruction type: The lectures, announcements, and assignments of this course will be fully online via a learning management system and presented in English. Each lecture is delivered through a video conference tool with a set of presentation slides displayed online during each class session. Online practical labs (pre-written Python notebooks) are also provided in the lectures.

The aim of this course is that students will learn about the analysis, design, and programming of deep learning algorithms. 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 Applied Deep Learning with PyTorch, 5 credits Who is this course for?This course provides the theoretical and practical aspects of deep neural networks. It is intended for students with a background in computer science and engineering. What will you learn from this course?Students will learn about the analysis, design, and programming of deep learning algorithms. The course has two modules: theory and practice. The theoretical content covers basic principles of multi-layer perceptions, spatio-temporal feature extraction with convolutional neural networks (CNNs), and recurrent neural networks (RNNs), classification and regression of big data, and generating novel data samples using generative models. The practical sessions cover the basics of programming with PyTorch. For instance, image classification and semantic segmentation using CNNs, future image frame prediction with RNNs, and image generation with generative adversarial networks. What is the format for this course?Instruction type: Teaching is in English and fully online. It consists of lectures, computer exercises, and project work. In the computer exercises, the student solves small problems using deep learning models. After programming various exercises, the participants will develop an advanced deep learning project. Participants will be encouraged to bring their own data. High-end GPU machines can be provided for the exercises and project.

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.

Hydrogen will play a major role in the transition to a low-carbon society. Still, it also introduces demanding conditions for materials and components across the entire value chain, from production and compression to storage, transport, and end-use. Many of the most critical technical risks in hydrogen systems are materials-related, including loss of ductility and premature fracture, accelerated fatigue, unexpected leakage, seal degradation, corrosion, and performance degradation over time. Understanding these mechanisms is essential for making safe, reliable, and cost-effective engineering decisions. This course offers a practical, engineering-focused introduction to materials in the hydrogen economy, including catalysts in hydrogen production and materials used in hydrogen storage and transportation, as well as their impact on component lifetime and system safety. You will learn how hydrogen enters materials, how it moves (diffusion and permeation), where it accumulates (trapping sites), and how these processes can trigger degradation. A special focus is placed on hydrogen embrittlement in metals, particularly in steels and welded joints, because these materials are widely used in pipelines, pressure vessels, fittings, and structural components. The course also covers non-metallic materials that are crucial for hydrogen infrastructure, including polymers, elastomers, and coatings used in liners, seals, hoses, gaskets, and protective layers. In addition to the fundamental mechanisms, the course connects theory to real engineering choices. You will discuss which materials are suitable under different hydrogen conditions (pressure, temperature, purity, moisture, cycling), what typical failure modes look like, and what mitigation strategies can be used in practice, such as material selection, heat treatment, surface engineering/coatings, design measures, operating-window choices, and inspection/testing approaches. The course also introduces materials challenges in key hydrogen technologies such as electrolysers and storage solutions, highlighting how degradation and compatibility issues influence performance and maintenance needs. You will also discuss hydrogen carriers and their storage and utilization solutions. The teaching format combines short, focused lectures with seminar discussions and an applied assignment. Participants are encouraged to bring examples from their own work or studies (for example, a pipeline material choice, a valve and seal problem, a storage tank concept, or an electrolyser component, chemical and physical storage systems) and use these as case studies during seminars and in the final assignment. By the end of the course, you will have both the conceptual framework and the practical tools needed to evaluate materials risks in hydrogen applications and make better-informed decisions for real systems. What you will be able to do after the course After completing the course, you will be able to: Explain key mechanisms of hydrogen–materials interactions and their consequencesIdentify materials-related risks in hydrogen production, storage, and transportationEvaluate and justify materials choices for hydrogen components and systemsPropose mitigation strategies (design choices, coatings, operating conditions, testing/inspection approaches)  Course structure (March 2–31) 6 lectures: Overview of hydrogen economy and materials, Materials in hydrogen production, Hydrogen materials interaction-core concepts, mechanisms, and engineering implications, Hydrogen Carriers, and materials selection and design2 seminars: discussion of case studies and participant problems/components1 assignment: applied analysis/report linked to a realistic hydrogen application (can be connected to your work/project)   March 2 Lecture-Introduction 10:00-10:45 Farid Akhtar Introduction March 5 Lecture I 09:30-11:00 Valentina Zaccaria hydrogen production and utilization – An overview March 6 Lecture II 10:00-11:30 Farid Akhtar Materials in Hydrogen Infrastrucutre- An Overview March 12 Lecture III 10:00-12:30 Alberto Vomiero/Marshet Sendeku Materials in Hydrogen production and conversion March 17 Lecture IV 10:00-11:30 Farid Akhtar Hydrogen Embrittlement Mechanism and Theory March 19 Seminar I 10:00-12:00 Farid Akhtar Topic I March 23 Lecture V 10:00-11:30 Farid Akhtar Mitigating Hydrogen embrittlement: Materials selection and development March 26 Seminar II 10:00-12:00 Farid Akhtar Topic II March 30 Discussion/White Board 09:30-11:00 Farid Akhtar Sorting Challenges   For whom Engineers and professionals working with hydrogen technologies (or planning hydrogen projects)Master’s students in relevant fields Entry requirements Recommended background in engineering/natural sciences (materials/mechanics/chemistry/physics or equivalent). Relevant professional experience can also qualify.   Examination Based on: Assignment (report and/or presentation)Participation in lectures, seminars and discussions Course responsible/examiner: Farid Akhtar

Nuclear power technology has been a major asset since the mid-70s for decarbonizing electricity generation and for decreasing our reliance on fossil fuel. With more than 400 nuclear reactors currently in operation worldwide (more than 90 being in Western Europe) and more than 50 under construction, nuclear reactors will play a significant role for many years to come. By following this course, you will be able to understand the development of this technology from its early days, how it works, its advantages, disadvantages, limitations, and how it may contribute to climate-change mitigation. This course provides a holistic perspective and increased knowledge in nuclear reactor technology.   Topics Part 1: Nuclear power: an old story...: 3 chapters detailing the underlying principles of nuclear reactors for the purpose of understanding the history of the development of nuclear power: Elementary concepts in nuclear physics. Working principles of nuclear reactors. History of world nuclear power development. Part 2: Nuclear reactor technology: 11 chapters focusing on how a nuclear reactor works, with emphasis on Light Water Reactor (LWR) technology. Both the phenomenological and engineering aspects of nuclear reactors are covered. Electricity production. Reactor generations. Light Water Reactor (LWR) technology. Thermodynamic analysis of LWRs. Neutron cycle. Fuel depletion. Reactor control. Reactor dynamics. Reactor operation. Fundamental principles of reactor safety. Nuclear fuel. Part 3: Nuclear power, saving the world? 5 chapters explaining the aspects of nuclear power to be considered in a climate mitigation perspective, and the advantages/disadvantages/limitations of this technology. Nuclear fuel, waste and resources. Proliferation risks. Risks. Cost of electricity. Conclusions.   Course structure and set-up This is a self-paced course made of video lectures and interactive quizzes, which means that you can start and finish the course whenever you want. The course is free of charge and is given in English. The resources need to be studied sequentially. You cannot bypass given resources unless all previous learning activities were taken: For the video lectures, this means watching the video recording. For the quizzes, this means correctly answering the quiz questions, for which an unlimited number of attempts is allowed. For a few quizzes slightly more involved, you will be able to access the following resources even if you fail to find the correct answer. After completing the course, you will be issued a course certificate. Completing the course means reaching the end of the course, for which you need to have watched all video lectures and attempted all quizzes (the vast majority of the quizzes also require to have found the correct answer to the quiz questions).   Expected amount of work Completing the entire course takes about 40 hours of work. Level of the course Basic. A BSc in Engineering or similar knowledge is required. As all principles presented in the course are derived from scratch, any participant with an engineering background will be able to comprehend the course.

The EU’s circular economy strategy increases the need for expertise in the use of sustainable and recycled materials. This course provides tools and knowledge for the use of sustainable materials, development towards sustainability of existing materials, recycled and upcycled materials and how they contribute to the green transition through reduced energy consumption, longer lifespan, reduced costs, reduced waste volumes, better user-friendliness and opportunities for social entrepreneurship. The course will give you the opportunity to work on your own project in your own context and include different creative and practical tools. Course content Part 1: Introduction to the Circular Economy Part 2: Design for Recycling Part 3: Use of Recycled Materials Part 4: Substitution with Sustainable Alternatives Part 5: Conditions for Circular Systems and Economies Course design Open online course with pre-recorded lectures, interview and workshops, with reading, reflection and creative assignments. Self-paced, start and finish when you want to. This course takes about 80 hours to complete. You will learn How circular economy, material flows and sustainable materials can be understood in a broader sustainability context. Using various tools and models to analyze and improve material flows and product design. Practically apply and implement the knowledge in the course to their own business or a chosen project. Who is the course for? The course is aimed at professionals in industry, waste management, construction, material production, product development, recycling solutions, local and regional government, design and different creative professions. It is also open to students on all levels and participants without an academic background who want to deepen their knowledge in circular economy and sustainable material choices.