JavaScript with Data Structures & Algorithms (DSA)

1. JavaScript Fundamentals

  • 1.1 Introduction to JavaScript: Basics and Syntax
  • 1.2 Variables, Data Types, and Operators
  • 1.3 Functions in JavaScript: Declaration, Expression, and Arrow Functions
  • 1.4 Control Structures: If-Else, Switch, and Loops
  • 1.5 Arrays in JavaScript: Introduction and Operations
  • 1.6 String Manipulation in JavaScript
  • 1.7 Objects and JSON in JavaScript
  • 1.8 ES6 Classes & Inheritance

2. Basic Data Structures & Algorithms

  • 2.1 Arrays
    • Implementations, Common Operations, and Examples
  • 2.2 Strings
    • Basic Operations, Common Problems, and Solutions
  • 2.3 Linked Lists
    • Singly Linked List, Doubly Linked List, Circular Linked List
  • 2.4 Stacks & Queues
    • Implementing Stacks and Queues using Arrays
  • 2.5 Sorting Algorithms
    • Bubble Sort, Insertion Sort, Merge Sort, Quick Sort
  • 2.6 Searching Algorithms
    • Linear Search, Binary Search

3. Intermediate Data Structures & Algorithms

  • 3.1 Hashing
    • Maps, Sets, Collision Handling, and Use Cases
  • 3.2 Recursion & Backtracking
    • Understanding Recursion, Key Problems, Backtracking Basics
  • 3.3 Trees
    • Binary Trees, Binary Search Trees, Tree Traversals
  • 3.4 Heaps
    • Min-Heap, Max-Heap, Priority Queue Implementation
  • 3.5 Graph Algorithms
    • Graph Representation (Adjacency List/Matrix)
    • BFS, DFS, Topological Sorting

4. Advanced Data Structures & Algorithms

  • 4.1 Dynamic Programming (DP)
    • Concepts, Memoization, Tabulation
    • Key Problems: 0/1 Knapsack, Longest Increasing Subsequence
  • 4.2 Advanced Graph Algorithms
    • Minimum Spanning Tree (MST)
    • Dijkstra’s Algorithm, Bellman-Ford Algorithm
  • 4.3 Tries & Suffix Trees
    • Prefix Trees, Applications in String Matching
  • 4.4 Segment Trees
    • Range Queries, Lazy Propagation Techniques
  • 4.5 Bit Manipulation
    • Basics, Bitwise Operations, Practical Use Cases

5. Specialized Topics for Job Preparation

  • 5.1 Advanced Data Structures
    • AVL Trees, Red-Black Trees, Disjoint Set Union (DSU)
  • 5.2 Mathematical Algorithms
    • Prime Factorization, GCD, LCM
  • 5.3 Greedy Algorithms
    • Key Concepts, Real-World Problems, Examples
  • 5.4 Divide & Conquer Techniques
    • Advanced Problem-Solving Strategies
  • 5.5 Mock Interview Practice
    • Real Interview Questions Solved with JavaScript
  • 5.6 Coding Contests Preparation
    • Solving DSA Problems in Competitive Settings

6. Additional Resources

  • 6.1 Coding Platforms & Practice
    • LeetCode, Codeforces, GeeksforGeeks, etc.
  • 6.2 Top 50 JavaScript Interview Problems
  • 6.3 Code Optimization Tips for JavaScript
  • 6.4 Career & Interview Preparation for MNCs

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