Module 1: Displacement [Programming & Introduction to DSA]

• Getting Started with Problem Solving
• Beginning with Time Complexity Analysis
• Foundations of Essential Data Structures (Arrays, Strings, Hashmaps, Linked Lists, Trees)
• Basics of Mathematical Problem-Solving Methods (Modular Arithmetic, Powers)
• Primer on Bit Manipulation Techniques
• Starting with Advanced Problem-Solving Strategies (Prefix, Sliding Windows, Subarrays, Sorting, Hashing, Recursion, and more)
• Fundamentals of Object-Oriented Programming (OOP) for Problem Solving

Module 2: Velocity - Advanced Data Structures & Algorithms

• Algorithms and Data Structures
  • Complexity Analysis: Time & Space
  • Mathematical Approaches in Problem Solving
  • BIT Manipulation
  • Recursion & Backtracking Strategies
  • Sorting Techniques
  • Searching
  • Two Pointer Techniques
  • Hashing
  • String Processing and Pattern Recognition
• Core Data Structures
  • Linear Structures: Linked Lists, Stacks, and Queues/Deques
  • Hierarchical Structures: Trees, Binary Search Trees (BST), and Heaps
  • Trie Data Structures
• Advanced Techniques in Problem Solving
  • Greedy Algorithms
  • Dynamic Problem Solving (Dynamic Programming)
  • Graph-based Algorithms

Module 3: Acceleration [Development]

Development in Backend

• Understanding the Internet: TCP, UDP, HTTP, Layering Architecture
• Object-Oriented Programming (OOP)
• Concurrency & Multithreading
• Advanced Language Concepts & Key Interview Topics