Browse Public Designs
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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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Framing new knowledge
Description:
Context
This is the third lesson within the second part of a Master's course. Whereas the first part deals with well-established theory methodologies and practical application of integrated computational design, the second part tests their validity for the currently mostly research-oriented design of responsive structures.
The proposed lesson is the only one dealing with the interdisciplinary field of smart materials, whose possible impact on architectural engineering is yet to be clearly evaluated. The lesson shall balance between on one side, discuss and evaluate the role of smart materials in architectural engineering (theory), on the other side, support the students working on their final proposal for a responsive structure (exploratory research)
Lesson Aims
To introduce students to smart materials for architectural engineering;
to promote their critical thinking by foster their ability to focus on the role of a construction element within the design, behind its usual physical implementation;
to improve students’ soft skills;
to think ahead on how shall they structure their continuous learning during the profession
Intended Learning Outcomes:
- Identify the constraints and opportunities that smart materials can bring to architectural design
- Communicate effectively key aspects relevant to stakeholders
- Collaborative working: provide constructive feedback to peers
- Being able to search references
- Categorize a selected smart material within an existing framework
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