[Excerpt from the General Statement]
The typical architecture stands at the end of the evolutionary timeline as a continued legacy of the crystal palace; it exists homogeneously across all cultures and has the ability to replace preceding logics of architecture embedded in different cultures. However, bound so tightly to technology, the typical architecture can only have a narrow path of evolution.
Diversified mutations of the typical architecture will, eventually, lead to evolution that will prepare it for unexpected future scenarios.
The unit will initiate by discussing the current state of architecture in correspondence to the statement above. During discussion, the concept and the parameters of the Typical Architecture will be defined as well as those of the traditional architecture.
After a general understanding is reached, the unit will progress through 3 stages to produce different outputs.
1. Research :
The first stage will see students divided into two groups. One group will focus on a traditional architectural typology while the other group will initiate research on its Typical Architecture counterpart. The students will be asked to analyse the organisation, composition and the logic of different precedents, while cataloguing their plans in a unified format. For example, a plan of a traditional Korean housing (Hanok) can be redrawn to highlight only the key elements that form its organisation - this can, then, be compared with the plan of the Typical Architecture counterpart drawn in the same way.
In the second stage, the two sets of plans produced in the research stage will be fused using Python and Machine-Learning. The output of this stage should be able to shine a light on different ways the traditional and the modern architectures (the Typical Architecture) can fuse. A degree of randomness is expected in the fusion process. This stage will act as a testbed to observe numerous applications of different compositional logics to existing examples, while allowing students to imagine beyond the standards of the typical architecture. The output of this stage will be unified in format (planar drawings) to allow for comprehensiveness between disparate ways of application utilised.
The third stage will ask students to play with the possibilities of mutation. Different scenario will be given and the students will choose from the produced plans from the Application stage to further develop their designs. Each team will develop 3 designs from 3 different plan compositions and one will be chosen at the end, after the discussions with the tutors. Each team will then design the chosen plan until the end of the workshop and should aim to produce an axonometric drawing of A1.
Python / AI Training
Expected Learning Outcomes
Students will learn
- critical and independent interpretation of the current discourse of architecture
- an ability to understand and build a rigorous methodology that could result in architectural output
- how to design and utilise a machine learning process to produce different compositions in an architectural context