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Results 37-54 of 120
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Mechanical Engineering, master programme Programme 120 credits
- Autumn 2026
- Växjö
- Master’s level
- Full-time
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Global Innovation - Transdisciplinary System Perspectives for Sustainable Change Course 30 credits
- Spring 2026
- Växjö
- Master’s level
- Full-time
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The Finite Element Method Course 7.5 credits
- Autumn 2026
- Växjö
- Master’s level
- Half-time
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Facilities Planning Course 7.5 credits
- Autumn 2026
- Växjö
- Bachelor’s level
- Half-time
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Structural dynamics Course 7.5 credits
- Autumn 2026
- Växjö
- Master’s level
- Half-time
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Engineering Materials, advanced course Course 7.5 credits
- Autumn 2026
- Växjö
- Master’s level
- Half-time
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Machine design, advanced course Course 7.5 credits
- Spring 2026
- Växjö
- Master’s level
- One-quarter-time
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Project: Modelling of injection-moulded polymers In this project, mathematical models for materials used in containers by the Tetra Pak company are developed. The models may then be used when…
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Project: FEA of residual stresses in welded structures In this project, a versatile Eulerian plasticity is implemented and applied to the prediction of residual stresses in welded structures.
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Project: Sustainable maintenance of gravel road In this project, academia and local businesses collaborate in the development of a new concept for sustainable maintenance of gravel road, where new…
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Project: STEM education on equal terms This project faces the challenge of giving pupils – independent of gender, social background or ethnicity – the possibility to participate in and utilize STEM…
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Project: Demonstrator Environment for Smart and Innovative Automation in Manufacturing (Smart-IAT) The aim of the project is to develop and establish a demonstrator environment within advanced…
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Project: Smart Industry The goal of this project is to develop courses in mechanical engineering at advanced level according to the industry's competence requirements. The project is aimed at…
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Seed project: Machine learning for predicting the mechanical properties of high performance oxynitride glasses This project aims to develop a machine learning (ML) model to predict the mechanical…
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Project: In-line visual inspection using unsupervised learning The purpose of this project is to introduce and improve machine learning- assessment of the quality of massproduced industrial (steel)…
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Project: Competitive timber structures – Resource efficiency and climate benefits along the wood value chain through engineering design Through increasing scientific knowledge along the wood…
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Lars Håkansson new board member of international acoustics institute News
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Big money can be saved using data-driven maintenance in the industry News