| Faculteit | Science and Engineering |
| Jaar | 2021/22 |
| Vakcode | WMEE012-05 |
| Vaknaam | Energy and Complexity Nexus |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester II b |
| ECTS | 5 |
| Rooster | rooster.rug.nl |
| Uitgebreide vaknaam | Energy and Complexity Nexus | ||||||||||||
| Leerdoelen | At the end of the course, the student is able to: 1) Explain the concepts of complexity and energetics and their relationship through scales. 2) Describe the order of magnitude (scale) and features of major natural and anthropic energy processes. 3) Identify a system as a network and conceptualize a related feature in terms of network's properties. 4) Build a network and perform a basic network analysis. 5) Distinguish between spatial and topological properties of networks. 6) Use multi-network (multiplex) analysis to assess the nexus between different flows. |
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| Omschrijving | Energetics is the study of energy under transformation, at different spatial and time scales.Complexity is the domain of systems between the infinitely small (particles) and the infinitely large (stars), but also an approach to human made or natural systems which is not reductionist, nor mechanistic. This is a course on the energetics of complex systems aimed at providing students with an insight on the nexus between complexity and energy, with a focus on the paradigm of network theory. The main question it will address is: what are complexity and energetics and how the two concepts can be combined to analyze, theoretically and empirically, common evolutionary patterns and structures in society and nature. The first part of the course will overview theories and models in the field on complex system theory and energetics with the aim of understanding the fil rouge connecting living and human made systems. The second part will focus on complex systems analysis, with theoretical and practical lectures (computer lab), analyzing metrics and models of major interest to energy and environmental studies. During the course students with different backgrounds will be compelled to confront with paradigms alien to their main field of studies and cooperate with their peers in order to bridge the gap. | ||||||||||||
| Uren per week | |||||||||||||
| Onderwijsvorm |
Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC)
(Lectures (28h, theoretical lectures), Assignment (10 h, Couple's assignment), Practical (18 h, practicals on networks), self-study (82 h).) |
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| Toetsvorm |
Mondeling tentamen (OR), Opdracht (AST), Schriftelijk tentamen (WE), Verslag (R)
(Final mark: Written exam (30%, take home exam, each student will receive a set of matrices and three problems concerning the part of the course on networks to be solved in a due amount of time), oral exam (30%, an oral exam consisting of three questions covering the part of the course concerning complexity and energetics), assignment (including report) (40%, a group of 2 students will choose a set of data at their preference to perform an original network analysis. The work output will be in an electronic format and a report analysing results).) |
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| Vaksoort | master | ||||||||||||
| Coördinator | F. Ruzzenenti, PhD. | ||||||||||||
| Docent(en) | F. Ruzzenenti, PhD. | ||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | Prior knowledge: No specific prerequisites are required. Maximum capacity: 25 students. The course unit prepares for master's projects in the second year. |
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| Opmerkingen | Pass mark: >5.5 Assignment/Report (40%), oral exam (30%) and written exam (30%). At the end of week 10 student in groups of two will hand in a report showing they are able to perform a network analysis on original data (assignment, 40%, pass mark: 5.5) Final exam will be in two parts: written and oral (pass mark: 5.5): 1, written exam (take home exam): three problems to be solved with Matlab/R 2, oral exam: three questions. In case the assessment has to take place online, the written and oral exam will be adjusted to an online written respectively an online oral exam from home. Second examiner for this course is prof. dr. K.S. Hubacek. |
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