CIM and University of Warwick are running several workshops in the
Autumn term to support you to develop the study skills necessary to
succeed in your masters degree. Among other workshops offered will be
specific CIM workshops concerning academic reading, academic writing,
and correct referencing. You are welcome to attend any or all of the
workshops, and we encourage all students to attend the full range of
workshops offered by the centre, irrespective of their academic
background. Please note that the plagiarism workshop in week 5 is
mandatory for all students and an attendance register will be taken.
Computer networks, devices, and infrastructures structure and facilitate much of our social, political and cultural life. This core module introduces students to an array of approaches to studying digital media and culture.
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/im902-approaches-to-the-digital/
This module introduces an interdisciplinary group of students to some of the main quantitative and computational approaches for modeling complex social systems. You will be introduced to a range of methodological approaches from across a range of disciplines.
For further information please contact cim@warwick.ac.uk
In the era of networks, big data and the digital turn, traditional objects, such as documents, pictures, data, groups, events or patterns, open up to new methods of research. Emerging digital research methods also become means through which such objects are sustained, thus co-creating dynamic objects, such as networks, databases, platforms, data visualizations, maps and many other new forms of social, cultural and public life. This module offers an insight into these new and emerging societal and cultural entities and methodologies.
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/im904-digital-objects-digital-methods/
The CIM Masters dissertation is a piece of work (10,000 words) which addresses a single subject of your choice. The topic may concern any aspect of the subject matter of their programme. The dissertation is an exercise in independent study in which you pursue a topic that interests you. It allows you to further develop your skills of literature search and bibliography construction, theoretical argument, generation and appraisal of empirical evidence.
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/im906-dissertation/
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/
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/
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/
Welcome to the Research Design, Practice and Ethics MSSR Core Module!
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 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
Week 2: Capital, labour, and value in a digital age
Week 3: Institutions, knowledges, and organising in globalized networked societies
Week 4: Hacktivism, commodity activism, clicktivism, slacktivism
Week 5: Performance, art, design, fiction (lecture and seminar)
Week 7: Designing media activism (workshop)
Week 8: Media squares (lecture and seminar)
Week 9: Far-right co-options (lecture and seminar)
Week 10: Whither media activism? (workshop)
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/