INTERNET OF THINGS PLATFORMS FOR MANUFACTURING INDUSTRY

This course provides a fundamental knowledge of IoT, targeting physical devices, communication and computation infrastructure. The course gives theoretical knowledge as well as hands-on experiences to build an IoT application.

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 Course syllabus 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 6 weeks Scehduled online seminars:  February 6th 2025, from 13:15 to 16:00 February 26th 2025, from 13:15 to 16:00 March 12th 2025, from 13:15 to 16:00 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!

Learn how to use the Internet of Things (IoT) to develop smart products and services. The Internet of Things (IoT) is a collective term for the technologies that enable devices with embedded electronics and internet connectivity such as appliances, machines, and vehicles to be controlled or exchange data over a network. In this course, you will gain basic knowledge of the various components that make up Industrial Internet of Things (IIoT) systems, including sensor technologies, smart tags, data communication, and cyber security. You will learn What requirements are imposed on data communication Understand computer communication technologies and their possibilities, limitations and expected role in the development of IIoT Understand appropriate measures against common security issues

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. LanguageThe course is conducted in English. Additional informationThe course includes 15 hours of study and is offered for a fee.

Opens in May 2025. The Swedish version of the course, namely ”Varför välja trä vid nästa byggprojekt?” is already open. For more iformation contact course coordinator dimitris.athanassiadis@slu.seCourse 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. Content Forest history: The utilization of forests in Sweden throughout the past years Forestry methods and forest management Forest regeneration Wood properties Forest mensuration Forest tree breeding The forest's carbon balance Business models and market development: Focus on wood high rises Nature 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.

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.