Algorithmic Thinking – A Parametric Approach to Problem Solving
Designing over the years has become increasingly complex. Using conventional tools and work flows are no longer sufficient to keep up. Designer should now rise to the challenge of re-configuring themselves to align with the system, flow and exchanges that shape a new area of design and production.
Computational design is an approach to problem-solving that uses algorithms to synthesize information, imagination, and intent.
In this course we would like to streamline creativity into an iterative framework addressing different design solutions in a time-boxed data driven environment. The course is presented, focused on the dynamics of complex systems of the natural world, together with an identification of the operative spatial and temporal scales of their phenomena and their critical thresholds. All design approach would be optimized under principals of evolutionary computation (‘Evo-Devo’), ideas like body plan in embryological development provides the conceptual agenda for rethinking of evolutionary computation.
Students will acquire experience to develop design by experimenting, analyzing and evaluating results that could re-integrate into the design process making the final proposal more intuitive and optimal as per the given set of aspects they wish to explore.
