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Om programmet

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The Computation in Architecture masters is structured around project-based experimentation and direct design engagement. These activities are supported by coursework that introduces modes of applied and reflective enquiry, as well as core skills through which students may begin to conceptualise, implement and critically reflect on the use of computation within their own design practice. Courses in modelling and simulation introduce students to parametric modelling, coding and performance-led design, and build skills in various types of structural and environmental simulations. Courses in digital fabrication introduce students to robotic fabrication, 3D scanning and 3D printing workflows, the bio-lab, sensing and actuation, as well as foundational techniques for making.

At Computation in Architecture you will

  • Develop a comprehensive and advanced knowledge of computational techniques, and their assumptions, abstractions, limits and opportunities within architectural design contexts
  • Develop advanced and practical skills in applying fabrication technologies to support design investigation, prototyping and synthesis
  • Develop personally directed research-informed architectural investigations that deploy digital design strategies to address architectural, material, structural, fabrication, programmatic and site-based issues and their impact on sustainability
Programme description

Computation in Architecture is an established two-year Masters level programme that focuses upon examining architectural issues through critically situating computation and digital technologies in the processes of thinking, forming and producing architecture.

It places particular emphasis on the intersection between computation, fabrication, material and performance. The programme equips our students with core knowledge and understandings for addressing questions of site, complex building programme and related architectural issues through computational design methods, physical prototyping and related theoretical concepts.

The programme fosters a dynamic, creative, intellectually rigorous and design-led environment that stimulates critical inquiry into the spatial, theoretical and technological consequences of digital design practice. More broadly, the programme aims to stimulate thinking on what it means to be a practicing architect through exposure to research led modes of design practice which prepare our students to engage with the urgent challenges of sustainability and the expansion of roles within our profession.

 

Structure and Content

The working practices of Computation in Architecture place particular emphasis on project-based design-led inquiry in which tight iterative cycles of hypothesis, testing, experimentation and reflection are conducted through production. We challenge and support our students to develop personally directed architectural inquiries which make relevant and critical use of digital technologies.

To assist this we have structured the course predominantly around project-based experimentation and direct engagement, but other modes of reflective inquiry are also promoted including writing, informed reading, verbal presentation and group discussion. The program is conceived as a two-year program in which the first semester provides given group-based and individual projects for skilling-up.  An equal focus is put on representation and making - working with both computation and directly with hands-on 1:1 material experiment. The following three semesters provide our students with the space to delve into deep and speculative personally led inquiry.

We have a strong studio culture in which students work together on campus. The studio is based at the heart of the campus with the CITA research centre and the dedicated digital fabrication workshop and bio-lab right next to them. This close proximity ensures easy exchange between collegiate and students.

Courses

Courses 

Fundamentals of Computation 1 aims to provide a basic understanding of digital tools for computational design with a problem-solving approach where the students will learn to build and structure complex grasshopper definitions. How to approach complex tasks and hove to make robust definitions that generalise the problem at hand.   Furthermore, the course aims to introduce computational thinking that can be useful when dealing with programming in general. By the end of the course, students will understand the fundamentals of computational design in architecture and be prepared to start using the tools in their own projects.

Tactics of Materialisation introduces students to the diversity of fabrication tools and techniques available at the school of architecture, and how making and modelling can be intertwined through techniques of digital sensing. It will focus on the shift from material to assembly, considering the additional interfaces required by the architectural element within a larger whole. The course will take place in the KADK Lab facilities and the CITA robot lab.

Productive Writing supports the development of the written assignment: an opportunity to deepen individual research interests and to strengthen students’ capacity to communicate clearly and concisely through writing. It covers how to introduce and frame a compelling architectural concern; describe the relevant research territories including their key concepts and the state of the art, describe a proposed methodology, detail initial experiments or investigations already made, and discuss preliminary results and architectural implications.

Thinking Architecture offers frameworks through which students may begin to conceptualize and critically reflect on cultures of computation in design and architecture. The course entails a series of sessions on the history of the field, accompanied by definitions and discussions of key notions within it as well as discussions of relevant readings.

Introduction to Life-Cycle Assessment aims to provide students with means of assessing the environmental impact of their design practice. A crucial tool to understand the impact of design and construction practices on the environment, the Life-Cycle Assessment (LCA) method is introduced by means of a theoretical course combined with a series of structuration, calculation and modeling exercices. A key part of the course is to explore and apply LCA principles relevant to each student’s semester design project.

CITAsessions introduces students to a broader community of digital practitioners at leading Danish offices. This series of scheduled visits to architectural practices provides a peak behind the curtain into their office culture and specific expertise in applying simulation and digital technologies to issues of sustainability and design.

Fundamentals of Computation 2 provides an advanced insight into architectural computing. The course covers computational geometry, geometric algorithms and data structures, and how they can be used to solve architectural design problems. Students are introduced to python programming, libraries, and good development and collaboration practices. With focus on the RhinoCommon platform, students will learn how to use it to create and manipulate 3D models, and how it can be integrated with other tools such Hops, Rhino.Inside and CPython.

Language

Fluency in computational techniques is not a pre-requisite for joining the study group. Rather, we are interested in students with deep curiosity supported through commitment to learning and experimentation, that are intellectually ambitious and self-directed.

All teaching is in english.