CS916-15 Social Informatics

Academic year
23/24
Department
Computer Science
Level
Taught Postgraduate Level
Module leader
Rob Procter
Credit value
15
Module duration
10 weeks
Assessment
Multiple
Study location
University of Warwick main campus, Coventry

Introductory description

The aim is to combine perspectives and methods of enquiry drawn from disciplines such as Psychology and Sociology with the tools, techniques and technologies of Computer Science to create an approach to of digital systems' design and innovation that is both relevant and practical.

Module aims

The aim is to combine perspectives and methods of enquiry drawn from disciplines such as Psychology and Sociology with the tools, techniques and technologies of Computer Science to create an approach to of digital systems' design and innovation that is both relevant and practical.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Learning outcomes

By the end of the module, students should be able to:

Indicative reading list

Please see Talis Aspire link for most up to date list.

View reading list on Talis Aspire

Research element

Awareness of current research in the field

Interdisciplinary

Using insights from Psychology and Sociology to understand usability issues, human behaviour, requirements gathering and innovation processes

Subject specific skills

Transferable skills

Study time

Type Required
Lectures 20 sessions of 1 hour (13%)
Seminars 10 sessions of 1 hour (7%)
Practical classes 8 sessions of 1 hour (5%)
Private study 112 hours (75%)
Total 150 hours

Private study description

Background reading.
Organising and planning group work in the lab.
Revision.

Costs

No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Students can register for this module without taking any assessment.

Assessment group D3
Weighting Study time Eligible for self-certification
Group-based exercise 12% Yes (extension)

By default, each group member will receive the same mark, but the group may request a separate mark for each member if it can provide a weighting for each member's contribution that has been agreed by all members of the group. This assignment is group work and is not, therefore, eligible for self-certification.

Group-based exercise 18% Yes (extension)

By default, each group member will receive the same mark, but the group may request a separate mark for each member if it can provide a weighting for each member's contribution that has been agreed by all members of the group. This assignment is group work and is not, therefore, eligible for self-certification.

In-person Examination 70% No

CS916 exam


  • Answerbook Pink (12 page)
  • Students may use a calculator
Assessment group R2
Weighting Study time Eligible for self-certification
In-person Examination - Resit 100% No

CS916 resit exam


  • Answerbook Pink (12 page)
  • Students may use a calculator
Feedback on assessment

Written feedback on the assignment

Past exam papers for CS916

Anti-requisite modules

If you take this module, you cannot also take:

Courses

This module is Optional for:

  • Year 2 of TIMS-L990 Postgraduate Big Data and Digital Futures
  • TCSA-G5PD Postgraduate Taught Computer Science
    • Year 1 of G5PD Computer Science
    • Year 1 of G5PD Computer Science
  • Year 1 of TCSA-G5PA Postgraduate Taught Data Analytics
  • TIMA-L995 Postgraduate Taught Data Visualisation
    • Year 1 of L995 Data Visualisation
    • Year 2 of L995 Data Visualisation
  • TIMA-L99A Postgraduate Taught Digital Media and Culture
    • Year 1 of L99A Digital Media and Culture
    • Year 2 of L99A Digital Media and Culture
  • Year 1 of TIMA-L99D Postgraduate Taught Urban Analytics and Visualisation

This module is Core option list A for:

  • Year 1 of TPSS-C803 Postgraduate Taught Behavioural and Data Science

This module is Core option list C for:

  • Year 1 of TPSS-C803 Postgraduate Taught Behavioural and Data Science

This module is Option list A for:

  • Year 1 of TIMS-L990 Postgraduate Big Data and Digital Futures