Competitive Programming

Competitive Programming for Teens

Real algorithmic problem solving, aimed squarely at the informatics olympiad path and USACO, taught by solving problems rather than watching them being solved.

6 months (24 weeks), joinable any month Teens aged 13 to 18 who can already write basic programs and want contest-level problem solving 2 live classes/week + weekly problem sets and virtual contests Course-completion certificate from Modern Age Coders

Syllabus updated July 2026

Competitive Programming for Teens: ZCO, INOI and USACO Track

Flexible course duration

Duration depends on the student's background and pace. Beginners (kids / teens): typically 6 to 9 months. Adults with prior knowledge: often shorter, with an accelerated path.

Standard pace6 to 9 months
AcceleratedAdd class frequency to finish faster

For personalised duration planning, call +91 91233 66161 and we'll map a schedule to your goals.

Ready to Master Competitive Programming for Teens: ZCO, INOI and USACO Track?

Choose your plan and start your journey into the future of technology today.

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Group Classes

₹1,499/month

2 Classes per Week · Up to 10 students

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Personalized 1-on-1

₹4,999/month

2 Private Classes per Week

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International Students (Outside India)

Group Classes
$40
USD / month
2 Classes per Week
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Personalized
$100
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2 Classes per Week · 1-on-1
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Also available in EUR, GBP, CAD, AUD, SGD & AED. Contact us for details.

Program Overview

Competitive programming is the fastest way a teenager can become genuinely good at algorithms, because a contest gives you an honest verdict in seconds. Your solution is correct and fast enough, or it is not. Nothing else in school works quite like that.

This course takes a student who can already write basic programs and builds the actual competitive toolkit: complexity analysis, the core data structures, the standard algorithm families, and the contest craft that separates a solved problem from a time-limit-exceeded verdict. In India, the informatics olympiad path runs through zonal qualifiers, ZCO and ZIO, into INOI, the Indian National Olympiad in Informatics, and onward through the training camp toward the International Olympiad in Informatics. Internationally, USACO runs its own laddered divisions from Bronze up through Silver, Gold and Platinum. Both reward the same underlying skill, so we train for the skill and prepare for both formats.

Students work in C++ or Python. C++ is the pragmatic default at higher levels because of its speed and its standard template library, and we teach it properly for students who want to go far. Python is fully supported for students who prefer it and is entirely adequate for the earlier stages. Every week ends with a timed virtual contest and a proper upsolve, because the problems you failed to solve during the contest are where nearly all the improvement actually comes from.

What Makes This Program Different

  • Aimed at the real contest ladder: zonal qualifiers and INOI in India, and the USACO divisions internationally
  • Taught by solving, not by watching: every class has students writing code against a judge
  • Complexity analysis from week one, because most failed submissions are correct but too slow
  • Weekly timed virtual contests followed by a structured upsolve, which is where the actual improvement happens
  • C++ taught properly for students aiming high, Python fully supported for those who prefer it
  • Live, small batches with solutions reviewed line by line, not a video library

Your Learning Journey

Phase 1
Complexity, the core data structures, sorting and searching, and reading a problem statement correctly
Phase 2
The standard algorithm families: greedy, two pointers, prefix sums, recursion, graphs and dynamic programming
Phase 3
Contest craft, harder problem sets, and full timed contests with upsolve discipline

Career Progression

1
Genuine readiness for zonal qualifiers, INOI and the USACO divisions
2
Algorithmic ability that makes school computer science trivial by comparison
3
A real advantage in university admissions and later technical interviews
4
The habit of proving a solution is fast enough before submitting it
5
A foundation for research, engineering or any quantitative field

Detailed Course Curriculum

Explore the complete week-by-week breakdown of what you'll learn in this comprehensive program.

Topics Covered
  • Setting up a contest environment and submitting to an online judge
  • Reading a problem statement precisely, including the constraints
  • Time and space complexity, and reading the limits to infer the intended solution
  • Why an O(n squared) solution fails when n is 200,000
  • Fast input and output, which silently costs beginners real points
Projects You Build
  • Submit your first ten problems and read every verdict, including the failures
Practice & Assignments

15 warm-up problems with a written complexity estimate before each submission

Topics Covered
  • Sorting with custom comparators
  • Binary search on an array, and the off-by-one errors that ruin it
  • Binary search on the answer, a technique that unlocks many problems
  • Two pointers and the sliding window
  • Recognising which of these a statement is hinting at
Projects You Build
  • Solve a set of problems where binary search on the answer is the intended solution
Practice & Assignments

20 sorting and searching problems on a judge

Topics Covered
  • Prefix sums and difference arrays for range queries
  • String basics: frequency counts, palindromes, simple hashing ideas
  • GCD, modular arithmetic and why answers are taken modulo a prime
  • Sieve of Eratosthenes and simple primality
  • Avoiding integer overflow, a classic silent failure
Projects You Build
  • Build a small library of your own tested helper functions
Practice & Assignments

20 problems across prefix sums, strings and basic number theory

Assessment

First timed virtual contest, followed by a full upsolve

Topics Covered
  • Stacks and queues and the problems that signal them
  • Deques and priority queues
  • Using the C++ STL containers properly, or Python's equivalents
  • Choosing the right container for the operation you repeat most
  • Writing clean code fast, since contests are timed
Projects You Build
  • Solve a monotonic stack problem and explain why the stack is the right structure
Practice & Assignments

20 data-structure problems

Topics Covered
  • Writing recursion you can reason about
  • The recursion tree and its cost
  • Backtracking with pruning
  • Generating permutations and subsets
  • When recursion is elegant and when it is simply too slow
Projects You Build
  • Solve a classic constraint problem with backtracking and measure the effect of each pruning rule
Practice & Assignments

15 recursion and backtracking problems

Topics Covered
  • Adjacency lists versus matrices, and when each is right
  • Depth-first search and its uses
  • Breadth-first search and shortest paths on unweighted graphs
  • Connected components and cycle detection
  • Recognising a graph problem that is not described as one
Projects You Build
  • Model a described real-world scenario as a graph and solve it with BFS
Practice & Assignments

20 graph traversal problems

Topics Covered
  • What makes a greedy choice valid
  • Classic greedy problems: intervals, scheduling, coin-style problems
  • Proving a greedy solution correct, at least informally
  • Why an untested greedy hunch is the most common wrong answer
  • Knowing when greedy fails and DP is required
Projects You Build
  • Solve an interval-scheduling set and write a short argument for why the greedy rule works
Practice & Assignments

20 greedy problems with written justifications

Assessment

Timed contest plus upsolve, with an error log started

Topics Covered
  • Reading the whole problem set first and ranking by difficulty
  • Deciding fast whether to commit to a problem or move on
  • Writing test cases before submitting
  • Debugging under time pressure
  • Handling a wrong answer without panicking
Projects You Build
  • A full contest run with a written post-mortem of every decision
Practice & Assignments

Two timed contests with structured upsolve

Topics Covered
  • Recognising overlapping subproblems and optimal substructure
  • Memoisation versus bottom-up tabulation
  • Defining the state, which is the whole difficulty
  • Classic one-dimensional DP problems
  • Counting the states to get the complexity right
Projects You Build
  • Solve the same problem both top-down and bottom-up and compare
Practice & Assignments

20 introductory DP problems

Topics Covered
  • The knapsack family and its variants
  • Two-dimensional DP on grids
  • Subset-sum style problems
  • Reconstructing the actual answer, not just its value
  • Space optimisation with rolling arrays
Projects You Build
  • Solve a knapsack variant and reconstruct the chosen items
Practice & Assignments

20 knapsack and grid DP problems

Topics Covered
  • Longest increasing subsequence and its faster form
  • Edit distance and sequence alignment
  • Interval DP
  • Bitmask DP as an introduction
  • Spotting the state definition from the constraints
Projects You Build
  • Implement LIS in both the quadratic and the faster form and compare on large input
Practice & Assignments

20 sequence and interval DP problems

Assessment

Timed DP-focused contest with upsolve

Topics Covered
  • Dijkstra with a priority queue
  • Bellman-Ford and negative edges
  • Floyd-Warshall for all pairs
  • Minimum spanning trees
  • Disjoint set union and its uses
Projects You Build
  • Solve a routing problem with Dijkstra and justify the data structures chosen
Practice & Assignments

20 weighted-graph problems

Topics Covered
  • Segment trees and range queries
  • Binary indexed trees
  • Trees: rooting, depth, subtree sums and lowest common ancestor
  • String algorithms at contest level
  • Choosing the simplest structure that is fast enough
Projects You Build
  • Implement a segment tree from scratch and use it on a real range-query problem
Practice & Assignments

30 problems across advanced structures

Topics Covered
  • Working past problems in the style of the zonal rounds and INOI
  • USACO division problems from Bronze upward
  • Multi-part problems and partial scoring
  • Managing a long contest without losing focus
  • Building a personal template and checklist
Projects You Build
  • Complete full past sets under time and grade them honestly
Practice & Assignments

Weekly full-length problem sets with structured upsolve

Topics Covered
  • Weekly full timed contests under real conditions
  • The upsolve discipline: every unsolved problem revisited until solved unaided
  • Reading the error log to find your actual weakness
  • Contest-day routine and nerves
  • Choosing the right target contests for your level
Projects You Build
  • A full contest every week with a written post-mortem
Practice & Assignments

Continuous contest and upsolve cycle

Assessment

Final rated contest performance reviewed against your starting baseline

Projects You'll Build

Build a professional portfolio with 50+ projects real-world projects.

Technologies & Skills You'll Master

Comprehensive coverage of the entire modern web development stack.

Career Outcomes & Opportunities

Transform your career with industry-ready skills and job placement support.

Prerequisites

Title
What Your Child Needs to Start
Items
Age roughly 13 to 18, and able to already write basic programs with loops, conditionals and functions,Comfort in C++ or Python; we teach the contest-relevant parts of whichever you choose,A computer that can run a compiler or Python and submit to an online judge,Willingness to solve problems between classes, since contests reward practice volume more than talent

Who Is This Course For?

Title
Who This Course Is For
Items
Teens aiming at the zonal qualifiers, INOI and the informatics olympiad path in India,Students targeting USACO divisions from Bronze upward,Strong school programmers who find their computer science class far too easy,Students who want a genuine edge for competitive university admissions,Anyone who enjoys hard problems more than tutorials

Career Paths After Completion

Readiness for zonal qualifiers, INOI and USACO divisions
Algorithmic strength that makes school computer science straightforward
A real advantage in university applications and technical interviews
A foundation for research or engineering in any quantitative field
Problem-solving stamina that transfers well beyond programming

Course Guarantees

Title
Our Commitment to You
Items
Every class involves writing code against a real judge, not watching solutions,Weekly timed contests with a structured upsolve, because that is where improvement comes from,Complexity analysis taught from week one, so students stop submitting correct but too-slow code,C++ taught properly for students aiming high, Python fully supported for those who prefer it,A free demo class first, so you can judge the teaching before you pay anything

What Families Say

Real feedback from the parents and students who learn with us.

★★★★★ 4.9 average · 547+ Google reviews
★★★★★

"Mivaan enjoys the class. He understands the concepts and completes his tasks with excitement. He started taking interest in coding, truly amazing class."

S
Shradha Saraf
Mother of Mivaan
★★★★★

"My son struggled with maths for years. Integrating it into coding projects has transformed how he thinks. He now genuinely enjoys both."

S
Shewta Singh
Mother of Ishan
★★★★★

"Modern Age Coders has wonderful teachers who teach in a clear, easy and practical way. My son looks forward to every single class."

S
Sonu Goyal
Father of Nikit
★★★★★

"Modern Age Coders has been a game-changer for me. I struggled to grasp IT concepts before, and now they finally click, and I actually look forward to learning."

S
Samridho Mondal
Student · Grade 9
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Frequently Asked Questions

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