Module Descriptor School of Computer Science and Statistics
|Module Name||Urban Computing|
|Module Short Title|
2 lecture hours per week
|Module Personnel||Assistant Professor Mélanie Bouroche|
On successful completion of this module a student will be able to:
This module aims to provide both a theoretical and practical understanding of urban computing and associated cyber-physical concepts, principles, challenges and solutions. Urban computing is a process of acquisition, integration, analysis of and actuation upon, big and heterogeneous data generated by a diversity of sources in urban spaces, to improve the management of constrained urban resources, thereby enhancing the urban environment, human life quality, and city operation.
Students will be exposed to the wide range of principles and challenges associated with urban computing, and how ubiquitous sensing, advanced data management and analytic models, and autonomic computing need to come together to address those.
The module also aims to highlight some of the relevant ongoing research and innovation in the space taking place within Ireland and internationally.
Specific topics addressed in this module include:
|Recommended Reading List|
Assessment in the Supplemental session will be based on 100% exam.
|Academic Year of Data||2017/18|