Computational Thinking Challenge 2022 !

3 Weeks Practice + Challenge

Participate in National Event and Earn certificates !!

Registrations for 2023 challenge open
Contact  :                         +91 8197170166

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Interactive and Numerous Practice sessions
Batches starting from Nov 2
International cooperation-rafiki

Personalized Attention and Competency Based

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Challenge 21st Nov 2022

Program Details

  • For students from Grade 3 to 10
  • Registration deadline extended till 26 November 2023
  • Spread across 2+ weeks
  • Interactive sessions + Practice Sessions at your comfortable timings
  • Pre-Requisite:  Just you, a desktop/laptop, internet connection and your bazillion creative ideas.
  • Through google meet platform.

Learn about Computational Thinking

‘Thinking Computationally is NOT Programming’. 

Programming  Tells Computer What to do and How to do !

Computational Thinking  Helps us to figure out What to tell the Computer to do !!

Computational thinking is a problem solving approach that uses algorithms, data, and simulations to investigate questions and develop understandings.

The approach is not like thinking like a computer,

But like a scientist to solve problems

  • Increased Critical and Analytical Thinking among
  • Cultivating Skills in STEM Education among Students
  • Computational Thinkers are Problem Solvers
  • Computational Thinkers are Innovators
  • Take the leap from Consumers to Creators

Computational thinking (CT) is a process or skill that is
fundamental to the field of computer science, but can be
applied to other fields such as mathematics, physics,
chemistry, sociology and everyday life.
CT includes strategies for analysing problems and
designing solutions to be used in all disciplines, especially
STEM, for conceptual learning and problem-solving. A key
approach to supporting STEM education is to incorporate CT
elements into STEM topics.

CT has greatly benefited students in technological learning
in the twenty-first century.

Decomposition:Breaking down a big problem into small, manageable parts
Pattern Recognition: Observing similarities and patterns in these smaller parts, to help us solve complex problems more efficiently
Abstraction: Identifying and extracting the important parts of the problem.
Algorithm: Creating the step-by-step instructions of solving the problem

It's learnt through games , puzzles and problem statements.

Know More :


DigitCodemy will guide and train you to take this challenge with interactive classes and practice sessions.

Rs. 1100/- only


12 hours( live +practice)

Yes.  live classes and ample practice sessions

LMS access given to enrolled students who can practice the sessions with Instructor guidance 

Fun filled activities and game
Instant feedback
Leadership points
Teachers' support online
Badges and Awards


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