Browse Public Designs
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Statistical Analysis of a dataset
Description:
The following module aims to introduce the basic principles and fundamental techniques of statistics and machine learning for data analysis. After the module they will have knowledge of probability theory, statistics to model uncertainties in engineering problems. The students will be able to do statistical analysis of datasets, and they will apply to their own chosen real-world dataset.
It will be used a blended learning approach including in-class and out-of-class activities, following the STREAM model. A 'feedback loop' will be used, shifting between 'out-of-class' content (self-study, preparatory activities, project assignment) and 'inThe 'out-of-class' activities will be used to provide feedback of the students' learning, and to adjust the 'in-class' activities (lectures, audience response systems, peer feedback).
Intended Learning Outcomes:
- understand the statistics theories for analyzing data
- apply statistical tools to a chosen dataset
- explain to the peers the project assignment
- improve the analyses after peers feedback
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Long Distance Supervision for MSc students
Description:
This learning design supports the supervision of MSc students that do part of their practical laboratory work at a research institute or industry (host institution) different from Aarhus University. This is relevant for all MSc students at AU-TECH. The learning design also outlines a strategy for writing a shared manuscript (either research paper or review paper) with a MSc student that can be published in a scientific journal. This LDT follows the stream model, leaving room for extensive dialogue between the supervisors and the students.
Intended Learning Outcomes:
- Understand the principles behind the experiments performed at the foreign intitution
- Relate the different research concepts so that a novel idea takes central stage of the MSc thesis
- Write in a correct and scientifically correct manner with the aim of communicating the MSc thesis outcomes in the form of a research or review paper
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Teaching organic apple production through blended learning activities
Description:
The students will learn the main principles of organic apple production using a blended learning approach that involves in-class and out-of-class activities (lecture, Mentimeter, 360 videos, group discussions and scientific papers).
Intended Learning Outcomes:
- Describe the factors that should be taken into consideration when planning and establishing an organic orchard
- Explain the importance of cultivars in organic fruit production
- Describe some of the most important management practices used in organic fruit production
- Discuss the effect of management practices on the occurrence of diseases, pests and weeds
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Scaling issues in structural testing
Description:
Since buildings and infrastructures are quite large objects, scaling of physical models is a central issue in structural testing.
Scaling is introduced with dimensional analysis, that is, understanding how the solution of an equation is affected by scaling some of the parameters. This is quite a theoretical subject, and you can get away pretty well with whiteboard and markers.
Scaling also deals with how materials preserve specific properties at different scales. For example, how a tiny concrete beam develops cracks and why this behavior might not be representative of a large structural element.
The way we introduce forces in scaled physical models changes with the scaling factor. Judging the pros and cons of competing solutions (e.g., hydraulic actuation or additional masses) requires a lot of experience.
This teaching module aims to provide a toolbox for handling typical issues associated with the scaling of physical models for structural testing.
Intended Learning Outcomes:
- Apply dimensional analysis to study the effect of scaling on the response of a tested specimen.
- Apply size-effect models to study the effect of scaling on the response of a tested specimen.
- Design structural testing campaigns with scaled physical models.
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Copied: Visualizing cleanroom fabrication
Description:
Students will learn how to visualize cleanroom fabrication processes and devices and use the visualizations to learn how devices are fabricated.
Intended Learning Outcomes:
- Visualize microfabrication processes
- Design cleanroom process flow
- Visualize devices
- Assess and optimize someone else's process flow
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