Java DSA (Data Structures and Algorithms) Syllabus

 

Java DSA (Data Structures and Algorithms)

1. Introduction to DSA in Java

• Data Structure: A way to organize and store data efficiently.
• Algorithm: A step-by-step procedure to solve a problem.
• Why DSA? Improves efficiency, optimizes code, and helps in problem-solving.

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2. Time and Space Complexity

• Big-O Notation: Measures algorithm efficiency.
• Common Complexities:
  • O(1) – Constant Time
  • O(log n) – Logarithmic Time
  • O(n) – Linear Time
  • O(n log n) – Log-Linear Time
  • O(n²) – Quadratic Time
  • O(2ⁿ) – Exponential Time
• Space Complexity: Measures memory usage.

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3. Arrays and Strings

Arrays

• Declaration: int[] arr = new int[5];
• Operations:
  • Insertion, Deletion, Traversal, Searching, Sorting
• Sorting Algorithms:
  • Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort

Strings

• Immutable in Java
• Common Operations:
  • .charAt(index), .substring(start, end), .indexOf(char), .length()
• StringBuilder for Mutability
  • StringBuilder sb = new StringBuilder("Hello");

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4. Linked List

• Singly Linked List

  
  class Node {
      int data;
      Node next;
      Node(int data) { this.data = data; this.next = null; }
  }
  

• Doubly Linked List
• Circular Linked List
• Operations: Insertion, Deletion, Reversal, Finding Middle Element

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5. Stacks and Queues

Stack (LIFO)

• Using Array: Stack<Integer> stack = new Stack<>();
• Operations: push(), pop(), peek(), isEmpty()

Queue (FIFO)

• Using Linked List: Queue<Integer> queue = new LinkedList<>();
• Operations: add(), remove(), peek()

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6. Recursion

• Function calling itself
• Example: Factorial

  int factorial(int n) {
      if (n == 0) return 1;
      return n * factorial(n - 1);
  }
  

• Types:
  • Tail Recursion
  • Head Recursion

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7. Trees

• Binary Tree
• Binary Search Tree (BST)

  
  class TreeNode {
      int val;
      TreeNode left, right;
      TreeNode(int val) { this.val = val; this.left = this.right = null; }
  }
  

• Traversals:
  • Inorder (Left, Root, Right)
  • Preorder (Root, Left, Right)
  • Postorder (Left, Right, Root)

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8. Graphs

• Representations:
  • Adjacency List
  • Adjacency Matrix
• Graph Traversals:
  • BFS (Breadth-First Search)
  • DFS (Depth-First Search)

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9. Searching and Sorting Algorithms

• Searching:

  • Linear Search O(n)
  • Binary Search O(log n)

• Sorting:

  • Bubble Sort O(n²)
  • Merge Sort O(n log n)
  • Quick Sort O(n log n)

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10. Dynamic Programming (DP)

• Overlapping Subproblems
• Memoization (Top-Down)
• Tabulation (Bottom-Up)
• Examples:
  • Fibonacci Series
  • Knapsack Problem
  • Longest Common Subsequence

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11. Hashing

• HashMap in Java

  HashMap<Integer, String> map = new HashMap<>();
  map.put(1, "One");
  

• Collision Handling:
• Chaining
• Open Addressing

Assessment: Regular Tests, Assignments, and Final Project Evaluation

Certification: Certificate of Completion from Disha Institute

 

Number of Days Depends on your practice and feedback. The more you practice and review your work, the faster you will complete the course.

For Batch time and Fess contact to Below Address and Number.

Zamanat Sir

(MCA / Bsc. I.T / ‘A’ / ‘O’ / CCC / Govt. Certified  Domain Skill Trainer )

    

Disha Institute 153 Vijay Nagar Opp. Rg Pg College W.K Road Meerut 

(9411617329 , 9458516690)