BATTERIER: ATT DRIVA EN MOBIL VäRLD

FÖR VEM Vindkraftskurs.se riktar sig till handläggare i kommuner och länsstyrelser samt till alla som vill lära mer om vindkraft. VAD OCH VARFÖR Syftet med kursen är att öka kunskapen om vindkraft och specifikt om frågeställningar som är aktuella vid tillståndsärenden. NÄR OCH HUR Du väljer själv när samt i vilken takt du vill genomföra momenten. Samtliga delar av kursen är avgiftsfria.   Vindkraftskurs.se är uppbyggd av fyra moduler: 1. Vindkraftens förutsättningar 2. Miljöpåverkan 3. Prövning och tillsyn 4. Idébank & lokal nytta Inne i modulerna finns både sökfunktion och kursöversikt, så att du lätt kan orientera dig genom kursens innehåll. Att gå igenom hela kursen tar ca 3–5 dagar beroende på hur intensivt/extensivt du läser. Du kan även välja att läsa delar av kursen.

Society is transitioning from oil dependency to metal dependency as we are turning to fossil-free alternatives in the energy and transport sectors. Today, many more metals in the periodic table are used in our daily lives compared to only a few decades ago and many metals that previously had marginal applications are today central to achieving the climate goals. But where do these metals come from and how are they linked to geology?In this course, you will explore the basics of geology and understand how geology controls where critical metals are in the earth’s crust. You will gain insight into what it takes to mine an ore body and broaden your perspective on what risks and challenges we are facing when it comes to the raw material supply that drives the fossil-free energy transition. This course covers the role of ore geology in the transition to fossil-free energy and transport systems, which means that we are moving from oil dependency to metal dependency. Geological processes throughout the earth’s history are responsible for the current distribution of ore deposits. By understanding how these ore forming processes work, we can better explain why certain metals occur in extractable amounts in one place while being almost absent in another. To meet the global demand of metals needed in, for example, solar panels, wind turbines, and batteries, a thorough understanding of how geological processes work is fundamental. In this course, you will be introduced to the fantastic world of the subsurface that made all the technology you take for granted possible.    You will explore: What critical metals are, where they are produced today, and what risks and challenges are involved in the supply of raw materials that drives the fossil-free energy transition. Basic geology – minerals, rock types, geological structures and why they matter. What an ore is and the natural processes that accumulate metals in the earth’s crust.  This course is designed for people that would like to gain knowledge about the role of geology in the transition to fossil-free energy systems. The course is for those who want to know more about what critical metals are, how an ore is formed, and about risks and challenges coupled to the supply of raw materials that drive the energy transition. This may include politicians and other authorities, teachers and students in elementary and high school that want to know more about subjects critical to the energy transition. It may also include university students within the social sciences, and many more. The course will also be useful for anyone who is employed and wishes to upskill within the area of societal challenges coupled to the supply of raw materials and the need for metals in modern society. The course will be given in english.

Hydrogen is a clean fuel, a versatile energy carrier, and seems to be the answer to the climate change challenge. Why is everyone talking about it, and how is it going to replace traditional fuels? This modularized course provides a comprehensive overview on hydrogen as an energy carrier, with focus on fuel cell as hydrogen conversion technology. Hydrogen production and storage and their role in decarbonization will be covered. Different fuel cell technologies will be analyzed and discussed to present benefits and challenges in the use of hydrogen for power production, urban mobility, aviation, transportation, residential sector and much more. The learners will be able to combine the available modules to create their personalized education based on their needs and get insights on where and when hydrogen can play a role in a carbon-free society.

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.

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 Internet of Things (IoT) is a networking paradigm which enables different devices (from thermostats to autonomous vehicles) to collect valuable information and exchange it with other devices using different communications protocols over the Internet. This technology allows to analyse and correlate heterogeneous sources of information, extract valuable insights, and enable better decision processes. Although the IoT has the potential to revolutionise a variety of industries, such as healthcare, agriculture, transportation, and manufacturing, IoT devices also introduce new cybersecurity risks and challenges. In this course, the students will obtain an in-depth understanding of the Internet of Things (IoT) and the associated cybersecurity challenges. The course covers the fundamentals of IoT and its applications, the communication protocols used in IoT systems, the cybersecurity threats to IoT, and the countermeasures that can be deployed. The course is split in four main modules, described as follows: Understand and illustrate the basic concepts of the IoT paradigm and its applications Discern benefits and drawback of the most common IoT communication protocols Identify the cybersecurity threats associated with IoT systems Know and select the appropriate cybersecurity countermeasures Course Plan Module 1: Introduction to IoT Definition and characteristics of IoT IoT architecture and components Applications of IoT Module 2: Communication Protocols for IoT Overview of communication protocols used in IoT MQTT, CoAP, and HTTP protocols Advantages and disadvantages of each protocol Module 3: Security Threats to IoT Overview of cybersecurity threats associated with IoT Understanding the risks associated with IoT Malware, DDoS, and phishing attacks Specific vulnerabilities in IoT devices and networks Module 4: Securing IoT Devices and Networks Overview of security measures for IoT systems Network segmentation, access control, and encryption Best practices for securing IoT devices and networks Organisation and Examination Study hours: 80 hours distributed over 7 weeks Scehduled online seminars:  January 30th 2024, February 12th 2024 and 11th of March Examination, one of the following: Analysis and presentation of relevant manuscripts in the literature Bring your own problem (BYOP) and solution. For example, analyse the cybersecurity of the IoT network of your company and propose improvements The number of participants in the course is limited, so please hurry with your application!