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Design Computation – 2018-19


“The Analytical Engine weaves algebraic patterns, just as the Jacquard loom weaves flowers and leaves” - John Maeda


Objects that ‘behave’ and ‘communicate’ have rapidly moved from the realm of science fiction to our homes, shelves and pockets. Products are no longer static, but are expected to interact, inform and guide. In a similar vein, data is now available in quantities larger than was imagined in the recent past. Patterns have to be seen and conveyed, often interactively in real-time.

We facilitate design and art professionals of the future, who can work in multiple contexts, make complex connections, lead and manage change. We facilitate and inculcate working with autonomy towards a clear self-position, be it as an entrepreneur, a design lead or as an independent creative practitioner.

As these technologies become accessible, it becomes necessary to find ways in which they make a meaningful difference to the quality of people’s lives. While many of these technologies are actively used in entertainment, their potential in spheres such as education and healthcare has much left uncovered. Innovation in these areas will be based on design-led computation.

Computation and algorithms allow a designer to break out of the static, to make products which evolve; while tangible materials remain as important as they have always been intangible materials like code and language enables the structure of objects to move from finite points to become more like a spectrum.

Course Structure

  • Studios encourage active, contextual learning where students develop core disciplinary skills and knowledge. Studios facilitate collaborative and creative design solutions to complex, open-ended problems
  • Workshops provide intense learning experiences in making and doing, across the different disciplines.
  • Internship with an industry or a design studio is compulsory for students at the end of 1st year
  • Self Initiated Project is an end of the semester challenge that allows the student to engage in research / enquiry or design based projects. Students begin by writing their project proposal and defining the scope of their project and they are mentored by faculty / design professionals.
  • Electives are liberal arts courses aimed to cultivate intellectual and reflective abilities in students and motivate them to probe deeper and approach their design process in a holistic manner.
  • Capstone Project is the culmination of the research, capabilities and knowledge gained over the last three semesters. Students are required to submit their design output and a mandated thesis document. Students are mentored during this final project and go through seminars to get feedback from faculty and peer groups

Learning Approach

  • Inter-disciplinary and participative since it will be driven by contexts that involve integration with products and services.
  • Theories and frameworks are applied, leading to appreciating, questioning and extending them.
  • Technology changes fast; software libraries and tools rise and fall; hardware never stays the same. To work in this scenario, the ability to learn independently using resources such as documentation and the web. Students of this course will be expected to learn new tools as required.
  • Building prototypes, tinkering and iteration will be essential to learning.

Capability Sets

  • Conceptualize ideas and interaction techniques using software sketching and prototyping.
  • Apply methods to visualise to data of various types from a variety of fields
  • Build the information architecture of a system with a number of entities with differing functions and roles.
  • Learn new tools and techniques as needed using online forums, communities and documentation independently.
  • Implement algorithms in appropriate programming languages.
  • Analyse a conceptual system or product to find parts that are easy to build and elements that require new tools or resources.
  • Contribute in a group working on complex problems and identify the aspects that computation can be brought to bear on.
  • Beyond the process of testing and iteration to develop software that functions correctly, also consider aspect of interaction and user experience.


Graduates of Design Computation at Srishti will be able to contribute in the areas of implementation of systems design, data visualisation, designing smart objects for IoT in conjunction with systems that support them. They could shape innovative products and services in the (traditional) areas of education, healthcare and entertainment.


For further information, kindly email Gautham Dayal at

Disciplinary Intersections

The program is informed by the following learning disciplines

Research and Collaboration

The students under this program will have the opportunity to work with the following centers and labs at Srishti.


View Eligibility for Admission, Fee Schedule, Application Form & Other information for this Program >>