8214 modules
Page 214
-
EDUC6529 2025-26
Data Collection Methods in Education Research
This module will cover the purposes and use of different methods for data collection in education research. It will address the design and use of questionnaires, different types of interviews and classroom observations. At the end of the module, students will have developed their skill in designing data collection instruments in connection to each of the three methods under focus and their critical understanding of the affordances and limitations of different methods. -
EDUC6529 2026-27
Data Collection Methods in Education Research
This module will cover the purposes and use of different methods for data collection in education research. It will address the design and use of questionnaires, different types of interviews and classroom observations. At the end of the module, students will have developed their skill in designing data collection instruments in connection to each of the three methods under focus and their critical understanding of the affordances and limitations of different methods. -
COMP6265 2025-26
Data Economy
This module studies how data is generated, valued, and monetised within digital ecosystems, as well as the ethical, legal, and technical challenges surrounding data ownership, privacy, and regulation.
For example, how can we manage a music dataset produced by artists and used to train a generative AI model? What are the technical solutions to support selling and profit distribution of the generated model? What are the ethical and legal implications for artists and other actors involved?
The module covers the data value chain, from collection and storage to integration, analysis, distribution, and monetisation, and the data governance issues associated with it. -
COMP6265 2029-30
Data Economy
This module studies how data is generated, valued, and monetised within digital ecosystems, as well as the ethical, legal, and technical challenges surrounding data ownership, privacy, and regulation.
For example, how can we manage a music dataset produced by artists and used to train a generative AI model? What are the technical solutions to support selling and profit distribution of the generated model? What are the ethical and legal implications for artists and other actors involved?
The module covers the data value chain, from collection and storage to integration, analysis, distribution, and monetisation, and the data governance issues associated with it. -
COMP6265 2026-27
Data Economy
This module studies how data is generated, valued, and monetised within digital ecosystems, as well as the ethical, legal, and technical challenges surrounding data ownership, privacy, and regulation.
For example, how can we manage a music dataset produced by artists and used to train a generative AI model? What are the technical solutions to support selling and profit distribution of the generated model? What are the ethical and legal implications for artists and other actors involved?
The module covers the data value chain, from collection and storage to integration, analysis, distribution, and monetisation, and the data governance issues associated with it. -
COMP6265 2028-29
Data Economy
This module studies how data is generated, valued, and monetised within digital ecosystems, as well as the ethical, legal, and technical challenges surrounding data ownership, privacy, and regulation.
For example, how can we manage a music dataset produced by artists and used to train a generative AI model? What are the technical solutions to support selling and profit distribution of the generated model? What are the ethical and legal implications for artists and other actors involved?
The module covers the data value chain, from collection and storage to integration, analysis, distribution, and monetisation, and the data governance issues associated with it. -
HUMA2026 2027-28
Data Environmentalism
Data is material. It is produced by people, it is made possible by resource extraction, it needs power to survive, it inhabits and resculpts the landscape. The use of data, then, contributes to climate catastrophe, but that role can be hard to see, hidden as it often is by a veneer of utopian hype that surrounds the information technology sector.
Drawing on scholarship from digital media studies, environmental history, computer science, science and technology studies, climate science, and archival science, this module examines the past, present, and future intersections of data and the natural environment. It lifts the lid on the countercultural origins of techno-utopianism. It examines the environmental degradation and injustices that techno-utopianism has and continues to hide (e.g. the instrumentalisation of personal climate responsibility). And it opens a pathway for building an intersectional and justice-oriented data environmentalism. -
HUMA2026 2028-29
Data Environmentalism
Data is material. It is produced by people, it is made possible by resource extraction, it needs power to survive, it inhabits and resculpts the landscape. The use of data, then, contributes to climate catastrophe, but that role can be hard to see, hidden as it often is by a veneer of utopian hype that surrounds the information technology sector.
Drawing on scholarship from digital media studies, environmental history, computer science, science and technology studies, climate science, and archival science, this module examines the past, present, and future intersections of data and the natural environment. It lifts the lid on the countercultural origins of techno-utopianism. It examines the environmental degradation and injustices that techno-utopianism has and continues to hide (e.g. the instrumentalisation of personal climate responsibility). And it opens a pathway for building an intersectional and justice-oriented data environmentalism. -
HUMA2026 2026-27
Data Environmentalism
Data is material. It is produced by people, it is made possible by resource extraction, it needs power to survive, it inhabits and resculpts the landscape. The use of data, then, contributes to climate catastrophe, but that role can be hard to see, hidden as it often is by a veneer of utopian hype that surrounds the information technology sector.
Drawing on scholarship from digital media studies, environmental history, computer science, science and technology studies, climate science, and archival science, this module examines the past, present, and future intersections of data and the natural environment. It lifts the lid on the countercultural origins of techno-utopianism. It examines the environmental degradation and injustices that techno-utopianism has and continues to hide (e.g. the instrumentalisation of personal climate responsibility). And it opens a pathway for building an intersectional and justice-oriented data environmentalism. -
COMP1314 2025-26
Data Management
This module aims to:
• Introduce students to the UNIX operating system, to the UNIX command line, and to standard UNIX tools (e.g., vi editor, ed, sed and awk)
• Introduce students to version management systems
• Provide a grounding in the use of database management systems and SQL
• Introduce students to Unix tools for document preparation, software development and system administration