In recent times, computation has become ubiquitous. Objects are smart and talk to each other, data is available though we may not always know what to do with it and we have tremendous computational power sitting in our bags and pockets. This course looks at meaningfully building and using such resources in a way that works for people. Contexts such as media, education and healthcare are examples that are of interest. You will need to learn and use new technologies, prototypeand iterate to improve on what you have made.
The program in Design Computation sits at the intersection of Design and Computation. Students will have to be willing to think algorithmically, and use both a technological as well as human viewpoints. Prospective students may come from a strong engineering background, with a view to hone their knowledge with ideas of design or from a design background wanting to leverage this with the proficiency of working with technology in a hands-on manner.
As a Design Computation student, you will be expected to develop an area of inquiry which you will pursue over the course. Your inquiry will guide the ideas and applications that you learn. You will attend master classes and be mentored and guided on the technologies you need to learn and the design principles on which the use of those technologies are based. You will be working in trans-disciplinary settings, and learning ideas from your peers who come from different backgrounds and disciplines. Most interactions in Srishti happen in studios where the emphasis is on learning by doing.
While the learning units are listed in the prospectus, you will learn also learn to look at users, their needs, and how technology could intervene in their situations. As an example: you will learn about data visualisation, and the cognitive and technological principles underlying various visualisations. But in a given context, while the most “magical” visualisation may not matter, the fact that your visualisation is accessible to people with older devices may be crucial.