Search results: 435
Urban science is a rapidly growing field that investigates the way people interact within and are influenced by urban systems. It is dedicated to harnessing the wealth of social information available in our modern information society. In this way, urban science uses large amounts of heterogeneous data to better understand cities and other types of complex urban systems, as well as the integration of new technologies with them.
The aim of this module is to present the theoretical and practical methodological and substantive foundations of urban science.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im913-urban-science/
This module introduces the rapidly growing field of urban science with a focus on concepts and methods for understanding modern cities and the integration of emerging technologies in the urban space. It provides a broad and systematic exposure to a range of topics and methods on urban science with emphasis given to spatial analysis.
This is achieved through the combination of three inter-related components:
1. theoretical foundations of urban science;
2. a methodological approach to the urban space with emphasis to theory and methods for spatial analysis; and
3. practice in urban science, carried out in the form of a student-led group project to solve an urban science challenge using a real-world scenario and data.Cities have traditionally adapted to the raise of new technologies, like cars or telephones, for instance. Nowadays, digital technologies and data in particular are transforming the material, cultural, social and political spheres of the urban realm.
These transformations require new theories and research methods to understand the spaces, scales, and agents involved in the relationships between data and the urban. This module offers an insight into some of these current theories and methodologies, to question the notion of data itself, to challenge controversial notions like the smart city, and to expand the realms of inquiry of urban data.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im919-urban-data/
Cities have traditionally adapted to the raise of new technologies, like cars or telephones, for instance. Nowadays, digital technologies and data in particular are transforming the material, cultural, social and political spheres of the urban realm.
These transformations require new theories and research methods to understand the spaces, scales, and agents involved in the relationships between data and the urban. This module offers an insight into some of these current theories and methodologies, to question the notion of data itself, to challenge controversial notions like the smart city, and to expand the realms of inquiry of urban data.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im919-urban-data/
Visualisations have become a fundamental currency for the exploration of data and the exchange of information. In this module we will explore this highly interdisciplinary subject from a wide variety of views - from cartography to statistics, to architecture and information design, and from science to the arts. Some of the labs and activities will involve coding and sketching activities, but there are no pre-requisites for this course. We encourage students from diverse backgrounds to bring their own perspective and skills to this exciting and interdisciplinary topic.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im921-visualisation/
Visualisations have become a fundamental currency for the exploration of data and the exchange of information. In this module we will explore this highly interdisciplinary subject from a wide variety of views - from cartography to statistics, to architecture and information design, and from science to the arts. Some of the labs and activities will involve coding and sketching activities, but there are no pre-requisites for this course. We encourage students from diverse backgrounds to bring their own perspective and skills to this exciting and interdisciplinary topic.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im921-visualisation/
Syllabus
Week 1 – Introduction: Genealogies of the Interface
Week 2 – The Interface as Socio-Technical Assemblage
Week 3 – What is a User?
Week 4 – [Graphics] – The Operational Image
Week 5 – [Workflow] – Governance of Actions
Week 6 – [Processing] – Time and Cognition
Week 7 – [Analytics] – Trace Data, Optimization and Social Media Platforms
Week 8 – [Storage] – From Web Archives to Digital Folklore
Week 9 – Conclusion: The Mediation of Behaviour
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im923-user-interface/
Course description
The module aims to introduce the practical, analytic and intellectual questions related to the collection and analysis of qualitative data. It will alternate taught sessions on the principles, practicalities and issues of using a specific methods with examples and exercise on the practical use of the method. This will allow us to reflect upon theoretical issues relating to the practice of doing qualitative research.
The module is aimed at introducing interdisciplinary perspectives on current challenges faced by cities and urban science, in order to develop a critical understanding of the role of digital technologies, big data and urban analytics for promoting sustainable urban development in “smart city” initiatives worldwide. This is achieved through a series of invited talks featuring both academic and professional experts, which is accompanied by a discursive seminar.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im927-digital-cities/
This intensive module is aimed at introducing the topics of disaster risks and urban resilience with an emphasis on the use of innovative digital technologies to gather and analyse urban data for improving disaster resilience. It approaches, theoretically and practically, the main issues involved in disaster resilience and the way in which social media, mobile technologies and the web 2.0 are related to our collective experience of disasters and crisis events. By means of a practical project and field work conducted in the city of Coventry, students will learn how to collect urban data using open-source mobile data collection software (OpenDataKit), process and analyse this data with Geographic Information Systems (QGIS) and produce an interactive digital map to visualise urban aspects related to disaster resilience.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im928-urban-resilience/
This module serves as an interdisciplinary introduction to contemporary machine learning research and applications, specifically focusing on the techniques of deep learning which use convolutional and/or recurrent neural network structures to both recognize and generate content from image, text, signals, sound, speech, and other forms of predominantly unstructured data. Using a combination of theoretical/conceptual/historical analysis and practical programming projects in the R programming language, the module will teach both the basic application of these techniques while also conveying the historical origins and ethical implications of such applications.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im931-interdisciplinary-approaches-to-machine-learning/
This module serves as an interdisciplinary introduction to contemporary machine learning research and applications, specifically focusing on the techniques of deep learning which use convolutional and/or recurrent neural network structures to both recognize and generate content from image, text, signals, sound, speech, and other forms of predominantly unstructured data. Using a combination of theoretical/conceptual/historical analysis and practical programming projects in the R programming language, the module will teach both the basic application of these techniques while also conveying the historical origins and ethical implications of such applications.
For further information please contact cim@warwick.ac.uk or go to https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im931-interdisciplinary-approaches-to-machine-learning/
Syllabus
Week 1: Art, media, and activism—how we got to today (lecture and seminar)
Sets the scene through a brief history of art- and media-activist practices leading up to today, examining the impact of social and technological change; also looks at the impact of networks on art’s autonomy, and the relation between theory and practice, as well as the specificity of the digital as a medium
Week 2: Capital, labour, and value in a digital age (lecture and seminar)
Looks at the ways contemporary political economy has been theorized, together with the possibilities and difficulties that communicative capital poses for organising, popular resistance, and subversive artistic praxis
Week 3: Tactical media, performance, design (lecture and seminar)
Looks at a variety of critical and aesthetic interventions, including electronic civil disobedience, DOS attacks, cybersquatting, Floodnet applications, tactical cartography and visualization, and so forth; also looks at the media activism as performance and aesthetic practice the role of art and design in critical media interventions, especially the role of speculative design fiction
Week 4: The Twitter Revolution (lecture and seminar)
Looks at the role of social media activism in protests and unrest in Moldova, Iran, and the Arab spring examining the relation between twitter and the streets, and the limits and possibilities of digital participation
Week 5: Media squares (lecture and seminar)
Looks at technologies of communication and participation in the Occupy, 15-M and Nuit Debout movements, examining the relation between digital and real-world organising, as well as connections between smart mobs and DIY artistic production
Week 7: Designing media activism (workshop)
In-class crits with pecha kucha presentations of group design projects
Week 8: Digital populisms and far-right co-options (lecture and seminar)—with visiting speaker Dr Paolo Gerbaudo (KCL)
Looks at the use of digital strategies by populist movements today, such as the gilets jaunes, and at the appropriation of critical and tactical-media approaches by the far right, evaluating the political ramifications of these developments for the theory and practice of media activism
Week 9: Digital parties and democratic reformations (lecture and seminar)
Looks at how digital technologies are transforming democratic forms and institutions, with a focus on the potential for social media to reconfigure representation and the relation between leader and base, and on how big data is changing campaigning
Week 10: Whither media activism? (workshop)
A hands-on exploration of online interventions, micropractices, and design fictions that speculate about or advocate for digital futures.
For further information please contact cim@warwick.ac.uk or visit https://warwick.ac.uk/fac/cross_fac/cim/apply-to-study/cross-disciplinary-postgraduate-modules/im933-media-activism/