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What can we learn from nature? Has evolution found solutions for many of the design problems we might like to solve? How does exploration at the nanoscale help us answer these questions? How can the nature-like solutions upscaled or downscaled to be implemented in engineering applications?
We will discuss the underlying principles and caveats of biomimicry at the nanoscale through detailed exploration of specific examples. We will practice order of magnitude and scaling calculations to assess the feasibility and efficiency of specific processes and engineering solutions. At the end of the module you will propose your own system, justifying its suitability for biomimicry and explaining why a knowledge of properties at the nanoscale would be important for your system.
Awareness of general programme outcomes for Taught MSc students in Physics.
Current topics in biomimicry and bio-inspired technologies.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Specified Learning Activities | 53 |
Autonomous Student Learning | 48 |
Total | 125 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Continuous Assessment: Continuous assessment. Worksheets, Presentation, Report, Activities | Varies over the Trimester | n/a | Alternative linear conversion grade scale 40% | No | 60 |
Examination: Exam | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 40 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Feedback on assignments should be self-assessed.
Name | Role |
---|---|
Assoc Professor Vladimir Lobaskin | Lecturer / Co-Lecturer |