MAPD4720 Systemic Design and Services 2 Emneplan

In Systemic Design and Service 2 the students will further explore the effects of design interventions. They will learn and apply design methods to better understand, describe and improve the effects of design decisions within systems and service environments.

Admission to the Master's programme.

After completing the course, the student is expected to have achieved advanced-level learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student will attain advanced knowledge within:

• various epistemologies in systemic and service theory

• methods in transdisciplinary cooperation in public and private sector

• systemic methods to analyse complex settings and specific potential design interventions

• theories for analysing the impact of interventions by services or products in specific contexts

• framing and communication in workshops based on systems play and dynamics

Skills

• designing based on an analysis of the impact of service or product interventions

• implementation of systems and service intervention

• facilitate data gathering and co-design processes in private and public sector

• utilise advanced conversation theory and its role in systemic design processes

• advanced game dynamics and their implications for systemic interventions

General Competence

The student attains competence in systemic design by:

• critical reflection through the utilisation of systemic knowledge and practice

• ethical thinking and approaches in design

• collaborating effectively in design projects involving stakeholders

• laying the groundwork for specialisation in systemic design or related fields

• soft systems modelling

• critical systems heuristic

• IMP analysis

• systemic relations

• cybernetic analysis and praxis/ behaviour analysis

Lectures, workshops, systems games, field work/project work and conversations.

• Presentation
• Workshop documentation
• Note of reflection

Individual or group portfolio examination. Max group size: 3 students

The portfolio consists of:

Gigamaps describing the context for the student's project and including service descriptions

The exam result can be appealed.

No restrictions on examination resources.

All resources are permitted as long as the rules for source referencing are followed. The student is required to indicate if and how AI has been used to answer the exam.

Scale A-F.

Two internal. External examiner is used periodically.