Unit name | Smart Cities 4 |
---|---|
Unit code | CENGM0052 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 1 (weeks 1 - 12) |
Unit director | Professor. Theo Tryfonas |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | Department of Civil Engineering |
Faculty | Faculty of Engineering |
The aims of this unit are for the students to:
The unit will explore issues of IT within the infrastructure sector and more specifically how technologies such as sensor networks and the Internet of Things, smart meters, data fusion, information modelling, neural networks, 3D modelling etc. are used to deliver integrated services such as smart transport, sustainable planning, structural health monitoring, intelligent buildings, stakeholder engagement platforms etc.
The unit contents will cover at a broad level the following topics: wireless sensor networks and their applications, smart metering, radio-frequency identification applications, building information modelling, neural computation and artificial neural networks modelling, knowledge representation and management, 3D modelling and CAD with integrated simulation, use of new media for stakeholder engagement etc.
By the end of the course, successful students will;
1. develop an appreciation for and have a sound understanding of a variety of information technologies that facilitate the delivery of integrated infrastructure, incl. wireless sensor networks, radio frequency identification, artificial neural networks, building information modelling etc.,
2. be able to analyse in depth and specify formally the informational needs of civil and industrial engineering projects,
3. be able to define at system-level information architectures that meet the needs of the delivery of integrated infrastructure (smart buildings, intelligent transport systems etc.).
Lectures (~20 hrs), invited talks and/or seminars (~2 hrs), demos and/or computer labs (~2 hrs).
The unit will be assessed via a combination of individual (40%) and group coursework (60%), involving two discrete but interconnected elements: a critical analysis of contemporary topics in smart cities (individual essay, ULO 1&2), urban app design and/or prototyping including requirements capture, data analysis and visualisation or coding where applicable (group project, ULO 2&3).
Ratti, C (2016), The City of Tomorrow: Sensors, Networks, Hackers, and the Future of Urban Life, Yale University Press (CORE)
Townsend, A (2013), Smart Cities: Big Data, Civic Hackers, and the Quest for a New Utopia, W. W. Norton & Company (CORE)
Various authors (2014), DESIGNING THE URBAN FUTURE: Smart Cities, Letters to the Editor, Scientific American
Foth, M. (Ed.) (2009). Handbook of Research on Urban Informatics: The Practice and Promise of the Real-Time City. Hershey, PA: Information Science Reference, IGI Global.
Kymmell, W. (2008). Building Information Modeling: Planning and Managing Construction Projects with 4D CAD and Simulations. McGraw-Hill Construction Series.