This course is an extension to the course Introduction to materials in a circular society. The course summarises the state of the art in circular economy and recycling of materials. The course includes the following elements:
What is recycling?
Different materials and processes for recycling
Open and closed systems for recycling
Standards and recycling in a circular society
The course is completely free of charge, taught online with no scheduled meetings, and can be followed at your own pace. You can take the course without subject-specific prior knowledge.
You will be continuously examined by answering questions related to each part. Examination is by automatically corrected questions and reflection tasks. To pass, you must answer all questions correctly. There is no limit to the number of times you can answer the questions. The reflection questions allow you to stop and give answers from your own perspective. These are not graded.
The aim of this course is to provide participants with the principles behind model-driven development of software systems and the application of such a methodology in practice. Modelling is an effective solution to reduce problem complexity and, as a consequence, to enhance time-to-market and properties of the final product.
The aim of this course is to give students insight about certification and about what it means to certify/self-assess safety- critical systems with focus on software system and to create a safety case, including a multi-concern perspective when needed and reuse opportunities, when appropriate.
This course provides an understanding of the fundamental problems in software testing, as well as solid foundation in the practical methods and tools for a systematic state-of-the-art approach to testing of software.
The course addresses the concept of circular economy, its use and limitations in the field of environmental engineering, methods for the assessment of resource efficiency, sustainability and environmental impact and practical examples related to waste management.
Reinforcement Learning (RL) is a type of machine learning technique that enables an agent to learn in an interactive environment by trial and error using feedback from its own actions and experiences. The course is part of the education initiative Smarter at Örebro University.
This is course requires completion of course Reinforcement Learning part 1.
Do you want to be efficient, effective and minimize waste by learning and implementing lean production tools? This course provides insight into the demands and challenges posed by competitive production in industrial production systems and develops your ability to participate in and to drive improvement work.
The course focuses on efficient lean production. Through theory and project work, you will learn useful techniques, methods and strategies. You will obtain the necessary knowledge and training to carry out value stream mapping and other forms of improvement work.
The course offers current and competitive knowledge through its close links with our successful research and partner companies. It provides basic knowledge and understanding of the modern view of lean production in industrial activity.