Nya kurser nu öppna för anmälan
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
This course is for you who want to actively participate in the industrial and the societal change towards sustainability.
The course aims to develop your action skills – moving from words to action, strengthening your initiative and drive the development of your experience-based knowledge in your role as a transformative agent and leader.
The course is structured around six delimited assignments that are completed separately. The tasks are taken from an assignment bank where you choose which tasks you do and in what order. The course ends with a summarizing assignment where you capture what you have learned through the six assignments completed.
Start 13 april 2026
Öppen för anmälan – du kan fortfarande starta kursen
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Mälardalen universitet och Luleå tekniska universitet
Mer information kommer snart
Start hösten 2026
Omfattning 80h
Studietakt 25%
Plats Online, ortsoberoende
Kursavgift 0 sek
Luleå tekniska 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 2 november 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 2 november 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet och Luleå tekniska universitet
Mer information inom kort.
Start hösten 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
Mer information inom kort.
Start hösten 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
Mer information inom kort.
Start hösten 2026
Omfattning 80h
Studietakt 25 %
Plats Online, ortsoberoende
Kursavgift 0 sek
Örebro universitet
Mer information inom kort.
Start hösten 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