Algorithmic Thinking - A parametric approach to problem solving

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Spring Semester 2020 Final year B.Arch

2.2.2 Program Evolution of housing Typology

Objective The studio aims at understanding how the design of dwellings can facilitate their adaptability in reference to Site context and scale using computational design methodology. The design process should seek to promote flexibility in the design of housing and, wherever possible, maximize opportunities for resident choice in relation to the use of Spaces. The design should consider environmental aspects such as shadow, solar radiation, daylight, ventilation etc. Each student is given a well-known city block from different regions of the world. The aim is to study existing block typology and re-imagining it in consideration with current scenarios. As part of computational design methodology, design variable is defined and morphologies are generated using parameters, rules and constraints. Iterations are then evaluated using the given Criteria. Breaking down the building into values that can add logic to further justify the problem statements. For example, the total percentage of building vs open, opening vs total building area for N,E,W,S facing facades, Proportion of LxB, LxH. This method should help make relationships if certain sizes are too big or small with respect to its climate and social needs. Hence, the approach to change them would make sense moving forward into design. Further students will explore the evolution of block form and system adaptability by adding scale.

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