Module ICE-3009:
Civic Computing Intervention
Civic Computing Intervention 2023-24
ICE-3009
2023-24
School Of Computer Science And Electronic Engineering
Module - Semester 1
20 credits
Module Organiser:
Jonathan Roberts
Overview
Indicative content includes:
- Research skills and requirements gathering for a creative computing intervention. Understanding the civic environment, role of industry and academia in the city and society. Models of requirements gathering and comprehension of the need; differences between show-and-tell and show-and-do. Civics, social environment issues.
- Ethical, professional and social implications of creative interventions. Empathy with challenges in city and society. Understanding the 6 virtues (wisdom, courage, humanity, justice, temperance, and transcendence). Profit vs. non-profit interventions. Types of intervention. Positive and negative impact.
- Creative communication. Effective communication, perception and communication design skills (advertising, branding and sales).
- Design of an effective technological intervention. - Making, measuring and delivering impact. Implications for future policy and research. Good deeds,
- Implementation of the intervention (including asset creation, planning, delivering and crafting it).
- Strategies for validation, evaluation and reflection of intervention.
Learning Outcomes
- Compare and contrast alternative solutions to the identified problem, and sketch and illustrate and design, different possible interventions, and subdivide the solutions into individual steps and prepare and present the particular design solution.
- Construct a suitable computing intervention, and run/deliver the designed solution.
- Identify, explore and interpret a real-world problem, and its context, that could be solved by a creative technological intervention.
- Reflect upon, critically evaluate and appraise, and defend the decisions made, for the chosen and implemented intervention.
Assessment type
Summative
Weighting
40%
Assessment type
Summative
Weighting
40%
Assessment type
Summative
Weighting
20%