Last modified: 25 Sep 2019 09:58
This course was designed to show you what you can do with everything you learnt in your degree. We will use mathematical techniques to describe a fast variety of “real-world” systems: spreading of infectious diseases, onset of war, opinion formation, social systems, reliability of a space craft, patterns on the fur of animals (morphogenesis), formation of galaxies, traffic jams and others. This course will boost your employability and it will be exciting to see how everything you learnt comes together.
Study Type | Undergraduate | Level | 4 |
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Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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Physical Sciences intend to describe phenomena in mathematical terms. This course bridges the gap between standard courses in physical sciences, where successful mathematical models are described, and scientific research, where new mathematical models have to be developed. Students will learn the art of mathematical modelling, which will enable them to develop new mathematical models for the description of natural systems. Examples from a wide range of phenomena will be discussed, eg from biology, ecology, engineering, physics, physiology and psychology.
A focus will be the critical interpretations of the mathematical models and their predictions. The applicability of the models will be assessed and their use for the respective branch of the natural sciences will be discussed.
Syllabus
This course was designed to show you what you can do with everything you learnt in your degree. We will use mathematical techniques to describe a fast variety of “real-world” systems: spreading of infectious diseases, onset of war, opinion formation, social systems, reliability of a space craft, patterns on the fur of animals (morphogenesis), formation of galaxies, traffic jams and others. This course will boost your employability and it will be exciting to see how everything you learnt comes together.
Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 20 | |
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Assessment Type | Summative | Weighting | 40 | |
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Feedback |
Due to the nature of the (primarily) continuous assessment of the course - summative feedback will be on a continuous ongoing basis as project work is marked. |
Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 20 | |
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 15 | |
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 5 | |
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There are no assessments for this course.
Assessment Type | Summative | Weighting | 80 | |
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Assessment Weeks | Feedback Weeks | |||
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Knowledge Level | Thinking Skill | Outcome |
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Assessment Type | Summative | Weighting | 20 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Knowledge Level | Thinking Skill | Outcome |
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