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CS348 Social Informatics

CS348-15 Social Informatics

Academic year
20/21
Department
Computer Science
Level
Undergraduate Level 3
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.

  • Background: development and scope of social informatics; practical goals.
  • Understanding individual behaviour: perception, memory and action.
  • Modelling human interactions with digital systems.
  • Design methodologies and notations.
  • Techniques and technologies: dialogue styles, information visualisation.
  • Designer-user relations: iteration, prototyping.
  • Evaluation: formative and summative; performance and learnability.
  • Mobile computing and devices: novel interfaces; ubiquitous computing.
  • Organisational factors: understanding the workplace; resistance; security; dependability.
  • Innovation processes at scale: social shaping of IT, actor-network theory, co-production.
Learning outcomes

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

  • 1. Demonstrate, in writing, knowledge of issues and problems in social informatics.
  • 2. Demonstrate understanding of issues impacting on uptake of digital systems and innovations by diagnosing problems in relations between technologies and use in a range of application domains.
  • 3. Apply appropriate principles and methodologies to address challenges in the design and deployment of novel digital systems.
  • 4. Demonstrate understanding of different disciplinary perspectives on social informatics and ability to apply them to solve design and deployment challenges.
  • 5. Devise, plan and execute requirements investigations and system evaluation studies from a social informatics perspective, and present findings in a clear and effective manner.
  • 6. Demonstrate awareness of current areas of research in social informatics by locating and summarising examples of recent controversies and progress.
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
  • knowledge of issues and problems in social informatics.
  • understanding of issues impacting on uptake of digital technologies in a range of application domains.
  • understanding of different disciplinary perspectives and ability to apply them to solve design and deployment challenges.
  • devise, plan and execute requirements investigations and system evaluation, and present findings in a clear and effective manner.
  • awareness of current areas of research by locating and summarising examples of recent controversies and progress.
Transferable skills
  • Identify literature relevant to a solving problem and critically review it.
  • Understanding of basic statistical tests.
    -Familiarity with a range of methodologies for IT project management and how to match them to project-specific factors.
    -Understanding of non-technical factors that influence success of IT projects
  • Competence in multi-disciplinary research

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 D1
Weighting Study time
Group-based exercise 30%

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.

2 hour examination (Summer) 70%

~Platforms - AEP

Assessment group R
Weighting Study time
CS348 resit exam 100%

CS348 resit Exam

~Platforms - AEP

Feedback on assessment

Written feedback on the assignment.

Past exam papers for CS348

Anti-requisite modules

If you take this module, you cannot also take:

  • CS916-15 Social Informatics

Courses

This module is Optional for:

  • Year 3 of UCSA-G4G1 Undergraduate Discrete Mathematics
  • Year 3 of UCSA-G4G3 Undergraduate Discrete Mathematics
  • Year 4 of UCSA-G4G2 Undergraduate Discrete Mathematics with Intercalated Year

This module is Option list A for:

  • Year 3 of UCSA-G400 BSc Computing Systems
  • Year 4 of UCSA-G504 MEng Computer Science (with intercalated year)
  • Year 3 of UCSA-G500 Undergraduate Computer Science
  • Year 4 of UCSA-G502 Undergraduate Computer Science (with Intercalated Year)
  • Year 3 of UCSA-G503 Undergraduate Computer Science MEng

This module is Option list B for:

  • Year 4 of UCSA-G401 BSc Computing Systems (Intercalated Year)
  • Year 3 of UCSA-G402 MEng Computing Systems
  • Year 4 of UCSA-G403 MEng Computing Systems (Intercalated Year)
  • Year 3 of UCSA-GN51 Undergraduate Computer and Business Studies
  • Year 4 of UCSA-GN5A Undergraduate Computer and Business Studies (with Intercalated Year)
  • Year 3 of USTA-G302 Undergraduate Data Science
  • Year 3 of USTA-G304 Undergraduate Data Science (MSci)
  • Year 4 of USTA-G303 Undergraduate Data Science (with Intercalated Year)

Further Information

Term 2

15 CATS (7.5 ECTS)

Online Material

Additional Information