Competitive Programming
An IIT Delhi Alumni Initiative

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39 hrs

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Get Lifetime Course Access
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Curriculum

4.9

rating

126

lectures

39h 52m

total duration

Lifetime

access

Introduction to the Course

What is Competitive Programming

Competitive Programming Competitions

Websites for Competitive Programming

Terminologies in Competitive Programming

Choosing a Programming Language

Taking Input & Output in Competitive Programming Contests

Cout vs Printf

Endl vs Back n

Fast cin cout Methods _ Conclusion

Time Complexity in Competitive Programming

Calculating Time Complexity of Code

Importance of English in Competitive Programming

Introduction to STL in C++

Standard Array

Standard Vector

Standard Set

Standard Multiset

Standard Map

Standard Multimap

Standard Pair

Standard Forward List

Standard List

Standard Unordered Set

Standard Unordered Multiset

Unordered Map and Unordered Multimap

Standard Stack

Standard Queue

Standard Priority Queue

Standard Deque

Importance of Bit Manipulation Techniques

Basic Binary Operations

Bit Operations in C++

Check ith bit is SET or NOT SET

Toggle ith bit

Check odd or even using bits

Check if Number is Power of 2

Need for Modulo 10^9 + 7

Modulo Arithmetic

[A3.1] Problem XOR ORED

[A3.2] Solution - XOR-ORED

[A3.3] Solution with Code - XOR-ORED

Introduction to Graphs

Weights in Graphs

Why Study Graphs

Edge List

Adjacenty Matrix

Adjacenty List

DFS Traversal

Implementing DFS Traversal

BFS Traversal

Implementing BFS Traversal

Minimum Spanning Tree

Concept of Kruskal_s Algorithm

Concept of Prim_s Algorithm

Concept of Dijkstra Algorithm

[A4.1] Problem - CHFPLN

[A4.2] Solution - CHFPLN

[A4.3] Solution with Code - CHFPLN

Sum of Updated Range Problem

Solving Sum of Range Problem with Segment Trees

Segment Trees - Update Queries

Segment Trees - Calculate Sum

Implementing Segment Tree - Part 1

Implementing Segment Tree - Part 2

Problem - Range Minimum Query

Implementing Range Minimum Query

Implementing Segment Tree - Tricks

Lazy Propagation in Segment Trees - Part 1

Lazy Propagation in Segment Trees - Part 2

Implementing Lazy Propagation in Segment Trees - Part 1

Implementing Lazy Propagation in Segment Trees - Part 2

Problem - Xenia and Bit Operations

Solution - Xenia and Bit Operations

Solution with Code - Xenia and Bit Operations

Problem - Circular RMQ

Solution with Code - Circular RMQ - Part 1

Solution with Code - Circular RMQ - Part 2

Introduction to Backtracking

N Queens Problem Explained

N Queens Solved

Knights Tour Problem Explained

Knight's Tour Solved

Rat in Maze Problem Explained

Rat in Maze Solved

Problem Richie Rich

Solving Richie Rich

Problem False Number

Solving False Number

Introduction to Greedy Algorithms

Understanding Greedy with Fractional Knapsack Problem

Solving Fractional Knapsack Problem

Tasks and Deadlines Problem

Solving Tasks and Deadlines Problem

Optimal File Merging Problem

Solving Optimal File Merge Patterns Problem

Huffman Coding

[A7.1] Problem - Dragons

[A7.2] Solution with Code - Dragons

[A7.3] Problem - Little Elephant and Bits

[A7.4] Solution with Code - Little Elephant and Bits

Introduction to Dynamic Programming

Top down vs Bottom Up

Fibbonacci Problem Top Down

Implementing Fibonnaci with DP

2D Grid Traversal Problem

Implementing 2D Grid Traversal Problem

Understanding Memoization

Fibbonacci with Tabulation

Implementing Fibbonacci with Tabulation

2D Grid Traversal Problem with Tabulation

Implementing 2D Grid Traversal Problem with Tabulation

Understanding Tabulation

[A8.1] Problem - Subset Sum Problem

[A8.2] Solving - Subset Sum Problem

Binary Lifting (Kth Ancestor of a Tree Node)

LCA (Lowest Common Ancestor) Problem

Fenwick Trees - Introduction

Fenwick Trees - Sum of Range (Range Find Query)

Fenwick Trees - Update (Point Update Query)

Problem - Distance between nodes in Trees

Solution - Distance between nodes in Trees

Implementing Fenwick Trees

Implementing Binary Uplifting

Implementing LCA

Solution with Code - Distance between nodes in Trees

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Course Benefits

Build a solid foundation to become a Competitive Programming wizard

Understand what kind of questions are asked in Coding Interviews.

Develop a strong intuition for any kind of Dynamic programming problem when approaching to solve new problems.

Strengthen your problem solving and coding skill

About this course

Caution : You may get addicted to CP after this course.

I gave the above caution because of my personal experience. And now that you have read it let me tell you the reason for it, people start competitive programming mostly due to peer pressure but later on they start loving it and then its just day and night CP, you will keep thinking on that 1 problem you are stuck at even while having lunch :)
Now its not only about fun, but you also should focus on CP if you are targetting good companies for your job, many companies will hire you just by considering your codechef/codeforces rank. Having a good hand at competitive programming shows your problem solving skills which is what product companies desire for. There are no pre-requisites for this course other than basic knowledge of a programming language but it is generally done after learning DSA but not a necessity, we will start from basics. It will be an extensive course having content of around 40hrs, taking you through all the concepts and give a major boost in your CP journey. You will straightway start with solving problems and we will be doing a lot of practice throughout the course.
Trust me, this will be the best skill that you will learn and enjoy. Waiting for you inside the course.

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