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Curricular information is subject to change
• Define and analyse algorithmic processes, Big Data, and related terms with respect to their importance to contemporary societies
• Recognise the interconnections between data, infrastructures, collection and dissemination technologies, software, platforms and how data are produced and used
• Identify some ways in which groups and communities are using to make more informed choices and decisions for human well-being
• Identify specific concerns and harms related to datafication
• Demonstrate an informed and critical approach to understanding data power and politics
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Autonomous Student Learning | 180 |
Total | 204 |
Not applicable to this module.
Resit In | Terminal Exam |
---|---|
Spring | Yes - 2 Hour |
• Feedback individually to students, post-assessment
feedback on each assessment will be given on Brightspace
Name | Role |
---|---|
Lauren Teeling | Lecturer / Co-Lecturer |