Informatics and AI Olympiad Program

Learn the fundamentals of algorithms and machine learning from a mathematicians point of view. Implement it in competitive programming and machine learning from first principles and systems thinking approach.
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CS and AI Algorithms

The program aims to build a solid foundation in algorithms

Competitive progamming

The classes are problem - driven in nature with an emphasis on competitive programming in Python, C++, PyTorch.

Mathematics at core

For CS, combinatorics, graph theory and complexity analysis; For AI linear algebra, calculus, optimization. is included.

Four Outstanding Courses

Foundations for Computer Science

Suitable for students in Grade 8 or above who are starting out with programming. The course is delivered using Python language. It includes mathematical principles as well. This course particularly useful for ZIO, ZCO and other beginner level Informatics Olympiad.
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Foundations for Artificial Intelligence

Suitable for students in Grade 8 or above, who are building their foundations of AI, ML, and Data science. This is useful for students who are going to participate in AI Olympiads and join research projects at Cheenta.
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Computer Science for Beginners

Suitable for students in Grades 3 to 7 who are starting out with basics of programming. The course is designed around Scratch at MIT Media Labs. 
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Advance Course on Informatics

Suitable for students who know some coding. This program is designed for competitive programming and contests like INOI and IOI. It is also useful for research projects in computer science.
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Informatics Olympiad

Curriculum

For ZIO, ZCO, IOI and similar contests world-wide.

Introduction to algorithms

Searching, Sorting, Basic Graph Algorithms, Dynamic Programming, Greedy Algorithms

Complexity analysis

Measuring the efficiency of algorithms, Time and Space complexity

Advanced topics

Computing Shortest Paths, Heaps, Permutations, Directed Acyclic Graphs, Computing Prefix Sums, Sliding Window Algorithms

Discrete mathematics

Permutation, Combination, Elementary Graph Theory

AI Olympiad

Curriculum

For INAIO, USAAIO, and similar contests world-wide.

Mathematical Foundations

Linear Algebra, Calculus, Optimization, 
Probability, Statistics

Machine Learning

Learning Algorithm, Supervised Algorithms, 
Unsupervised Algorithms, Training, and Evaluation

Deep Learning

Perceptron, Multilayer Perceptron, Shallow and Deep Neural Networks, Feedforward & Backward Propagation

Advanced Deep Learning

Convolutional Neural Networks, Attention and Transformers, Sequence to Sequence Model, Training Deep Learning Models in PyTorch, End to End Projects

What Our Students Say

  • Our experience with Cheenta has been excellent. Even though my son started in Middle School, they understood his Math level and took personal interest in developing a long term plan considering his strengths and weakness areas.

    Murali Kadaveru (Virginia, USA)

  • We think Cheenta is rendering an excellent service to humanity by identifying young mathematical minds and nurturing them towards becoming inspired mathematicians of the future.

    Jayanta Majumdar (Glasgow, UK)

  • My fear of mathematics has completely gone away. And I have started to believe in myself more. They have helped me in every problem. Thank you Cheenta.

    Ishani Mazumdar, India

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