Browse Public Designs
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New advances in STM
Description:
PhD course related to the newest development in STM techniques. The theoretical part of the course is based on the flipped classroom model, consisting of out-of-class studies and in-class presentations and discussion. The course also includes practical exercises with the state-of-the-art STM instrumentation available at the institution. The course is finalised by writing approx. half to one page proposal for the STM experiment that is in direct relation to PhD student's current research topic.
Intended Learning Outcomes:
- Presentation skills in complex research topics.
- Understanding and technical skills in different types of STM techniques that can be used to study material properties.
- Understanding of what data and information can be extracted when using the discussed STM techniques.
- Recognizing the strengths and weaknesses of the techniques for the research problems
- Writing proposal for experimental time at external user facilities.
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Projects in Cryptographic Computing
Description:
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Advance Mass Modeling with BIM-based software
Description:
The following learning is designed to introducing and practicing with BIM-based software for Advance Mass Modeling. This is done through out-of-class, in-class, online-supervision, and peer-feedback by students and the teacher.
Intended Learning Outcomes:
- Perform a building design project using Building Information Modeling (BIM)-based tools
- Create a Building Information Modeling (BIM) mass model and export analytical models to engineering computation, simulation, or any analytical applications
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Create your dream dynamic DNA nanostructure
Description:
The goal is to have the theoretical and practical basis to develop DNA nanostructures that can move in the nanoscale with high precision.
We will replace some of the literature reading by implementing tutorial videos on software use and related small activities/projects, to get hands on with the software. (e.g. use of CADNANO for designing a DNA nanostructure with an smiley face or NUPACK for designing molecular computers).
Intended Learning Outcomes:
- Understand the principles of DNA nanotechnology self-assembly and dynamic behavior
- Get hands-on experience with design software
- Create a DNA (dynamic) nanostructure
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Microbiome analysis using NGS technology
Description:
This activity is to introduce students to analyzing microbiomes using next generation sequencing technologies and bioinformatic analysis. Students will be introduced to next generation sequencing technologies, their uses and drawbacks for microbiome analysis and the biological questions you can answer using these techniques. Students will get hands on experience analyzing a real dataset, generating publication quality figures and interpreting the results.
The module will follow the STREAM model with before-class, in-class and out-of-class activities.Intended Learning Outcomes:
- Understand the terminology for describing ecological communities
- Explain the different sequencing technologies/'omics' and their uses
- Interpret biological meaning from sequencing data
- Understand and explain graphical interpretations of microbiome analysis
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