IS20170 Data Dilemmas

Academic Year 2023/2024

Data is everywhere. But what exactly is it? How is data created and used? How do we use data to think? And what are the promises and challenges of living and working in a society increasingly based on data processing? How does data enable cutting-edge technologies such as machine learning? This module explores such questions from the perspective of critical data studies. It draws on scholarship from the social sciences and humanities to explore the dilemmas posed by data. Topics include: datafication, the data economy, data work, data science and new emerging techniques for synthesizing data.

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Curricular information is subject to change

Learning Outcomes:

On completion of this module students should be able to:
-Apply a nuanced conception of data
-Explain critical data studies
-Analyze contemporary data-intensive technologies in their social contexts
-Critically assess arguments concerning data

Student Effort Hours: 
Student Effort Type Hours
Lectures

20
Autonomous Student Learning

5
Total

25
Approaches to Teaching and Learning:
Lectures; critical analysis and synthesis; reflexivity 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Examination: Final Exam 2 hour End of Trimester Exam No Standard conversion grade scale 40% No

60
Essay: Midterm Essay Week 7 n/a Standard conversion grade scale 40% No

40

Carry forward of passed components
No
 
Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 10:00 - 10:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 16:00 - 16:50
Spring