GCP-20005 - A Digital World: People, Spaces and Data
Coordinator: Aristotle Kallis Tel: +44 1782 7 34145
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733147

Programme/Approved Electives for 2024/25

Global Challenge Pathway Global Challenge Pathway (Level 5)


Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25


Aims
The module aims to introduce students to the ways digital data is produced, aggregated, curated, analysed, and used in diverse settings ranging from media, history, and politics to health and computing. It also aims to enhance students¿s skills in analysing and producing digital data to address contemporary or future challenges linked to the UN Global Sustainability Goals.
The module combines insights and skills from different disciplinary perspectives with collaborative project work based on real-life scenarios, providing students with opportunities to make an active intervention in shaping more sustainable digital futures.

Intended Learning Outcomes

Explore and critically apply a range of inter- and trans-disciplinary uses of digital data and technologies to make active contributions to a more sustainable world: 1,2
Mobilise knowledge of digital data analysis and production to address real-life problems linking to the UN Sustainable Development Goals: 2
Gain a better understanding of the ways in which the digital and the physical world connect with each other and of how the former can become a force of positive change for the latter: 2
Produce outputs aimed at different audiences, contexts, and purposes in relation to societal, workplace, and intercultural contexts: 1,2
Gain experience in core transferable skills, such as project management, data analysis and visualisation, digital curation, and digital production: 1,2
Define and analyse a problem or challenge, to explore solutions by working collaboratively, and to reflect on their individual and collective experiences: 1,2
Develop analytical, networking, management, and communication skills geared to career enhancement: 1,2
Reflect on the interrelation between global challenges and the ways in which their affect the local communities: 1,2

Study hours

Active Learning 44 hours:
- 22 hours compulsory sessions
- 6 hours compulsory sessions to include re-induction activity, facilitated group work sessions
- 5 hours optional assessment support workshop
- 5 hours group project workshops (small group)
- 6 hours student -led group sessions/collaborative project work
Independent Study 106 hours:
- 46 hours assessment preparation and follow up
- 60 hours of independent research and preparation for assessments

School Rules

None

Description of Module Assessment

1: Portfolio weighted 50%
Project Portfolio
The project portfolio, c.1500 words in total, will consist of both group and personal tasks corresponding to the management of a project on big data and digital activism. - Group tasks (50% of assessment grade): working as a team in small groups of 5-8 created early in the lifecycle of the module (with a member of the teaching team acting as informal advisor for each group), and using a project portfolio template, students will complete three tasks throughout the year, such as outlining the project idea, compiling a project pitch, as well as devising a project plan. - Individual reflective piece (50% of assessment grade): upon completion of the group project, each student will compile a personal reflection on their experience from working on the project, both as member of a team and individually (c. 400-500 words).

2: Presentation weighted 50%
Group Project Presentation
Students will work in small groups of 5-8 to devise a recorded presentation (following the format and structure of a public talk) for a digital activism project linking to SDGs. This could involve either the analysis of a past or ongoing project or a project that is student-conceived. The presentation will follow a template with the following elements: (1) context for the SGD that the project relates to; (2) rationale for the project; (3) analysis of the role of digital transformations and big data in the project; (4) reflection on data ethics; and (5) impacts and challenges. The final submission will include three components: (1) a c.15-minute recorded project presentation involving all members of the project group (2/3rds of assessment grade); and (2) a personal infographic relating to an aspect of the project, based on data visualisation skills acquired during the year to (1/3rd of assessment grade).