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Enhance your knowledge in sustainable metal recycling – a course for the engineers of the future. In a world where circular material flows are becoming increasingly important, metal recycling plays a crucial role. This course gives you an understanding of metallurgical processes – the core of transforming complex residues and scrap into new, valuable metals and alloys.
Start 15 oktober 2026
Omfattning 80h
Studietakt 25%
Plats Online, ortsoberoende
Kursavgift 0 sek
Luleå tekniska universitet och Örebro universitet
Mer information kommer
Start våren 2027
Omfattning 80h
Studietakt 25%
Plats Online, ortsoberoende
Kursavgift 0 sek
Luleå tekniska universitet
Mer information kommer
Start januari 2027
Omfattning 80h
Studietakt 25%
Plats Online, ortsoberoende
Kursavgift 0 sek
Luleå tekniska universitet och Örebro universitet
This course introduces modern reinforcement learning methods for learning control policies in simulated environments. The course presents the reinforcement learning framework for sequential decision-making and covers widely used deep reinforcement learning algorithms, including value-based methods such as DQN/DDQN and actor–critic approaches such as Proximal Policy Optimisation (PPO) and Soft Actor–Critic (SAC). The focus is on how neural network policies are trained through interaction with simulated systems.
Start hösten 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet och Luleå tekniska universitet
This course introduces machine learning and deep learning methods for professionals working in mining and geology. Each topic is introduced through a real challenge from the mining industry, spanning the full value chain from exploration and drilling through to resource estimation and production. The program covers a broad range of methods including classical machine learning, convolutional neural networks, generative models, and large language models, all taught in the context of geological workflows so participants always see how a method connects to something they already do in practice.
Start 4 november 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet och Luleå tekniska universitet
This course introduces the principles and practice of human-AI teaming with a particular focus on industrial settings. The course addresses how humans and AI systems can work together as collaborative partners rather than as simple tool-users. The most common case of a human-AI team consists of one human collaborating with one AI agent, yet also, multiple autonomous robots supervised by a human can be developed into a human-AI team.
Start hösten 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
This course introduces AI-assisted coding (“vibe coding”) as a practical skill for industrial professionals seeking to leverage large language models (LLMs) in their daily work. Organized across five lessons of one hour each, the course takes participants from a conceptual understanding of how LLMs function to hands-on use of modern AI coding environments, prompt engineering, version control, debugging, and security awareness.
Start 7 september 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
With this course, participants will be introduced to the basic principles and applications of inorganic contaminants and their relation to biogeochemical processes in the environment. The modular principle of this course will guide participants through the necessary theoretical knowledge about analysis, distribution and environmental behaviour of inorganic elements.
Start 14 september 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
This course provides an introduction to modern organic analytical techniques used to investigate organic contaminants in the environment. Participants will gain knowledge about key steps in the analytical workflow, including environmental sampling, organic sample preparation, method validation, quality assurance and quality assurance, and instrumental analysis.
Start 9 november 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
Industri och universitet
i samverkan
Tillsammans med 20 industriföretag samproducerar Luleå tekniska universitet, Mälardalens universitet och Örebro universitet kurser för att stödja industrins klimatomställning. Det femåriga projektet finansieras av KK-stiftelsen. Syftet är att stärka samarbetet mellan universitet och industri genom att förbättra tillgången till behovsanpassad utbildning.
Projektledare
Bjarne Bergquist, Projektledare för Reedeam
Telefon
T: +46 920-49 21 37
Email
bjarne.bergquist@ltu.se
