Applications 2024-12-08
COURSE DESCRIPTION
Edge computing enables faster and more energy-efficient data processing directly at the source. In robotics, this can lead to improved performance and sustainability. This course introduces the concept of edge computing and its applications in robotics.
Course content
• Fundamentals of edge computing
• Applications of edge computing in robotics
• Energy-efficient solutions for data processing
What you will learn
• Understand the principles of edge computing
• Implement edge computing in robotic systems
• Optimize data processing for energy efficiency
Who is the course for?
The course is designed for engineers, developers, and technicians working with robotics, IoT, and data processing who want to implement energy-efficient solutions in their projects.
Language
The course is conducted in English.
Additional information
The course includes 15 hours of study and is offered for a fee.
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.
This course has an English version. Look for course with title "Why choose wood for the next high rise building?" KursbeskrivningOlika typer av biomaterial (t.ex. trä) är mycket viktiga i utmaningen att avkarbonisera byggmiljön och minska koldioxidavtrycket för byggnader och infrastruktur genom att ersätta material som stål och cement som har höga koldioxidutsläpp. Samtidigt får vi inte glömma bort att biologisk mångfald, natur och sociala värden i våra skogar är viktigt att behålla samtidigt som skogsbruk bedrivs. I kursens 13 moduler tas skogsbrukets kretslopp upp inklusive avverkningsmetoder, biologisk mångfald, skogsskötsel, logistik, skogens roll i klimatomställningen, kolinlagring, miljöfördelar med att bygga flervåningshus i trä mm. Syftet är att ni som deltar i kursen ska få en gemensam förståelse av det svenska skogsbruket för att ni sen ska kunna fatta välgrundade beslut om materialval vid nästa byggprojekt. KursperiodKursen kommer att vara aktiv under 3 år. InnehållSkogshistoria: Skogens nyttjande i Sverige genom historienSkogsbruksmetoder och skogsskötselSkogsföryngringVirkets egenskaperMätning av skog och virkeSkogsträdsförädling: nutid och framtidSkogens kolbalans och klimatetAffärsmodeller och marknadsutveckling: Fokus flervåningshus med trästommarNaturvård och biologisk mångfald i skogen Kursens uppläggKursen är helt digital med förinspelade föreläsningar. Du kan delta i kursen i din egen takt. Modulerna avslutas med quiz där du kan testa hur mycket du har lärt dig. Du kommer få kunskap omEfter avslutad kurs kommer du att ha lärt dig mer om olika skogliga begrepp, förvärvat kunskap om skogens nyttjande i Sverige genom historien, ökat dina kunskaper om skogsskötsel och hur olika skogsskötselmetoder påverkar den biologiska mångfalden i skogen, lärt dig om skogsbrukets kretslopp – från föryngring till slutavverkning mm. Vem vänder sig kursen till?Den här kursen är tänkt för dig som är yrkesverksam arkiktekt, anställd på kommun som arbetar med stadsplanering och byggande, verksam i bygg- och anläggningsbranschen samt verksam i andra relaterade yrken. Detta är en introduktionskurs och kommer att bidra till en kompetenshöjning i hela byggsektorns ekosystem vilket ökar branschens internationella konkurrenskraft, samtidigt som det ger viktiga förutsättningar för utvecklingen av framtidens hållbara, vackra och inkluderande städer. Eftersom kursen är öppen för alla hoppas vi att fler grupper, exempelvis studenter, doktorander, skogsägare och andra med skogsintresse tar kursen, tar del av inspirerande föreläsningar där vetenskaplig kunskap som producerats huvudsakligen inom SLU presenteras.För mer information kontakta kurskoordinator dimitris.athanassiadis@slu.se
Vatten är den i särklass vanligaste miljön på jorden och vad som sker i haven påverkar allt liv på jorden. Även om människan inte bor i eller på vatten så nyttjar vi många ekosystemtjänster från vatten som matproduktion, transporter, elförsörjning och rekreation, och därmed påverkar eller förstör ekosystemen. För att kunna fortsätt nyttja resurser från hav och vatten eller utveckla nya värdekedjor krävs en omställning mot resursutnyttjande utan att riskera viktiga ekosystemtjänster. I denna kurs kommer du lära dig mer om akvatiska ekosystem och hur vi nyttjar och påverkar dem, men också hur resursutnyttjandet kan bli hållbart. Innehåll Grundläggande vattencykel & akvatisk ekologi Ekosystemtjänster från hav och vatten Livsmedelsproduktion, fiske & vattenbruk Havs och vattenplanering "Nature-based solutions", nya råvaror och tjänster Klimatförändringar och framtidens vatten och hav Kursens uppläggKursen ges som förinspelade lektioner och läses i egen takt. Kursen innehåller självrättande quiz för att du ska kunna kolla att du har uppnått inlärningsmålen. För att komma vidare i kursen, och kunna skriva ut ett kursintyg när du är färdig, måste du bli godkänd på quizzarna. Du kommer få kunskap omKursen ger grundläggande kunskaper om akvatiska ekosystem, ekosystemtjänster och hot. Kursen ger även kunskaper och färdigheter för att förstå vad som krävs och kan bidra till en blå omställning av resurser i vatten. Efter genomgången kurs kommer du kunna: redogöra för biologiska samband och olika ekosystemtjänster från akvatiska miljöer och dess betydelse för mänskliga samhällen, analysera hot och målkonflikter mellan olika nyttjanden av akvatiska resurser, förstå hur framtida diversifiering av vatten- och havsanvändning kan skapa en hållbar bioekonomi. Vem vänder sig kursen till?I första hand yrkesverksamma eller personer intresserade av att bli verksamma inom blå näringarna, som fiskare, vattenodlare, turistnäring, eller andra företagare inom den blå sektorn. men även vatten- och fiskerättsägare. Kursen är även relevant för tjänstemän i offentlig förvaltning (kommun-myndigheter) och journalister eller intresserad allmänhet.Kursen ges i huvudsak på svenska.
This course has a Swedish version. Look for a course with the title "Varför välja trä vid nästa byggprojekt?" Course DescriptionDifferent types of biomaterials (e.g., wood) are crucial in the challenge of decarbonizing the built environment and reducing the carbon footprint of buildings and infrastructure by replacing materials like steel and cement, which have high carbon dioxide emissions. At the same time, we must not forget that it is important to preserve biodiversity and the social values of our forests. The 13 modules of the course cover many forestry related subjects, including harvesting methods, biodiversity, forest management, logistics, the role of forests in the climate transition, carbon storage, environmental benefits of multi-story buildings with wood, and more. The goal is that participants will gain a shared understanding of Swedish forestry so that they can make well-informed decisions about material choices for their next construction project. Course PeriodThe course will be active for 3 years. ContentForest history: The utilization of forests in Sweden throughout the past yearsForestry methods and forest managementForest regenerationWood propertiesForest mensurationForest tree breedingThe forest's carbon balanceBusiness models and market development: Focus on wood high risesNature conservation and biodiversity in the forest Course StructureThe course is fully digital with pre-recorded lectures. You can participate in the course at your own pace. Modules conclude with quizzes where you can test how much you have learned.You will learn aboutUpon completion of the course, you will have learned more about various forest-related concepts, acquired knowledge of forest utilization in Sweden throughout the past years, increased your understanding of forest management and how different management methods affect biodiversity in the forest, and learned about the forestry cycle—from regeneration to final harvesting, etc. Who is this course for?This course is designed for professionals such as architects, municipal employees working with urban planning and construction, individuals in the construction and civil engineering sector, and those in other related fields. This is an introductory course and will contribute to upskilling of the entire construction sector, thereby increasing the industry's international competitiveness while also providing important prerequisites for the development of future sustainable, beautiful, and inclusive cities. Since the course is open to everyone, we hope that more groups, such as students, doctoral candidates, forest owners, and others with an interest in forestry, will take the course and engage with inspiring lectures where scientific knowledge primarily produced within SLU (Swedish University of Agricultural Sciences) is presented.For more iformation contact course coordinator dimitris.athanassiadis@slu.se