Programplaner og emneplaner - Student
MAPD5210 Visualizing Complexity Course description
- Course name in Norwegian
- Visualizing Complexity
- Weight
- 20.0 ECTS
- Year of study
- 2022/2023
- Course history
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- Curriculum
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FALL 2022
- Schedule
- Programme description
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Introduction
This course introduces students to several methods and approaches for systems oriented design analysis and development for complex settings. The complexity relates to social/political, environmental, economic, management, and technological contexts in which the designer as well as products and service that they create, will perform and influence. One of the major methods in this course is GIGA-mapping, which builds on cooperation among students and clients, with lay-people, professionals, stakeholders, and researchers from other disciplines (intra- and inter disciplinary). GIGA-mapping involves the visualization of data in order to accumulate, communicate, and analyse data to understand and create products and services within complex strategic systems and structures.
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Required preliminary courses
Admission to the Master's programme.
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Learning outcomes
After completing the course, the student is expected to have achieved advanced level in the following learning outcomes defined in terms of knowledge, skills and general competence:;
Knowledge;
The student;will attain knowledge within:
- general systems theory
- cybernetic and communication theory
- system dynamics and analysis
- game dynamics in systems
- methods for data gathering in complex settings (visual interviewing, design probes and play probes, co-design, among others)
Skills;
The student;is capable;of:
- describing exceedingly complex contexts through systems thinking as basis for design
- creating GIGA-maps on the basis of complex settings through data gathering, analysis, cooperation and creative processes
- using GIGA-maps as conversation tools
- utilizing methods for data gathering, sharing, cooperation, analysis, and documentation: visual interviewing, design probing, play probing, participatory design, co-design, feministic design, auto-ethnographical research, mapping workshops, GIGA-mapping workshops, and analysis: by theoretical overlay, of relations, patterns, causality, stakeholder, systems dynamics, and concept mapping, on the basis of visualizations data
- documenting all findings in common visualizations and reducing data into graphs that communicate essences of discussions, findings, tendencies, and so forth
- creating services and products on the basis of the above mentioned skills
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General competence;
The student;attain advanced competence in systems oriented design by:
- developing the ability to understand and handle complexity and systems thinking in design processes in teams and complex organizations, and in products, systems, and service design projects
- holistic thinking and understanding of design projects in relation to sustainability, environmental and social megatrends, general societal contexts and dynamics, culture, politics, market and technological contexts
- communication and cooperation by visualization, GIGA-mapping, and other types of mapping
- all which contribute to the capability to play a lead and cooperative role in design related projects in public and business contexts
- the ability to implement a chosen specialization as an additional approach or focus within this specific course context
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Content
Systems oriented design
- general systems theory
- cybernetic theory
- conversation theory
- systemic relations
- visualization of exceedingly complex situations
Game dynamics in systems
- Engagement in systems
- Play and game mechanics in systems
Systems oriented methods for data gathering in complex settings
- visual interviewing
- design probing, play probing
- mapping workshops
Methods for the analysis of data and design
- ZIP
- systemic relations
- cybernetic analysis & Praxis/ behavior analysis
- distinctions of functioning systems and structures
- systems dynamics
- causal dynamics
- feedback loops,;reinforcing loops, balancing loops
- relational mapping
- stocks, flow, delay, buffers, goal, autopoietic,;backlog, information flow, paradigm analysis in relation to intervening in systems for change
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Teaching and learning methods
The most important teaching and learning methods for this course are: workshops,;group work, lectures, discussions (conversation theory based), studio courses and tutoring
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Course requirements
The following required coursework must be approved before the student can take the exam:
- One note of reflection.;Max 1000 words.
- One group assignment and peer-group presentation.;Various number of depending on collaborating partners etc.
- workshop documentation
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Assessment
Individual or group portfolio examination.;The;portfolio;consists;of:
- One gigamap / systems mapping.
The examination result can be appealed.;
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Permitted exam materials and equipment
No restrictions.
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Grading scale
Grade scale A-F.
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Examiners
Two internal examiners. External examiners are used regularly.