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Unit information: Physical and Human Systems Modelling 3 in 2014/15

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Unit name Physical and Human Systems Modelling 3
Unit code CENG30001
Credit points 10
Level of study H/6
Teaching block(s) Teaching Block 2 (weeks 13 - 24)
Unit director Dr. Johansson
Open unit status Not open
Pre-requisites

Prior knowledge of MATLAB and the successful completion of appropriate Level 2 Engineering units

Co-requisites

None

School/department Department of Civil Engineering
Faculty Faculty of Engineering

Description including Unit Aims

Aims: 1. Learn to use a set of computational methods and to apply them to a wide variety of problems. 2. Understand and model soft human systems embedded in hard engineered systems. 3. Learn how to design computational models in order to solve real world problems, and how to validate these models, and assess their accuracy using empirical data.

The topics covered include: Dynamical systems and modelling of simple mechanical systems, MATLAB programming with a focus on dynamical modelling, Cellular Automata, Agent-Based Modelling, Complex Networks theory, Modelling human behaviour, Validating and calibrating computational models using empirical data.

Intended Learning Outcomes

1. Understand the necessity to assess the efficiency of a built structure, a road network, or other elements of infrastructure, in terms of the humans using these. 2. Know how to use a set of methods to model human mobility, e.g. crowds moving within buildings, and cars driving onto roads. 3. Be able to design and run simple computer simulations of human processes, such as the ones described above. 4. Be aware of the wider applicability of computer modelling of human behaviour, and how this is important to address socio-technical complexity within Civil Engineering projects.

Teaching Information

Lectures and computer classes

Assessment Information

Group project 100%

Reading and References

Generative Social Science: Studies in Agent-Based Computational Modeling, Joshua M. Epstein (Princeton Studies in Complexity, 2007)

Simulation for the Social Scientist, Nigel Gilbert and Klaus G. Troitzsch (Open University Press; 2 edition, 2005)

Econophysics and Sociophysics: Trends and Perspectives, Bikas K. Chakrabarti, Anirban Chakraborti and Arnab Chatterjee (Wiley-VCH Verlag GmbH & Co. KGaA: Weinheim, Germany, 2006)

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