Week 4: Advanced Concepts and Problem-Solving

  • Sorting and Searching Algorithms
  • Sorting Techniques: Bubble Sort, Merge Sort, Quick Sort
  • Searching Techniques: Linear Search, Binary Search
  • Analysis of Time Complexity for Sorting and Searching
  • Practical Applications
  • Dynamic Programming and Recursion
  • Fundamentals of Recursion: Concept, base case, and recursive relations
  • Introduction to Dynamic Programming: Overlapping subproblems and memoization
  • Solving classic DP problems: Fibonacci series, 0/1 Knapsack
  • Problem-solving exercises

Week 3: Non-Linear Data Structures

  • Trees
  • Basics of Trees: Binary Trees, Binary Search Trees
  • Tree Traversal Methods: In-order, Pre-order, Post-order, Level-order
  • Applications of Trees: Expression Trees, Decision Trees
  • Hands-on Practice
  • Graphs
  • Introduction to Graphs: Types, Terminologies
  • Graph Representation: Adjacency Matrix, Adjacency List
  • Basic Graph Algorithms: BFS, DFS
  • Real-world Applications

Week 2: Linked Lists

  • Introduction to Linked Lists: Singly, Doubly, and Circular Linked Lists
  • Operations: Insertion, Deletion, Traversal, Reversal
  • Real-life applications of Linked Lists
  • Hands-on Problems

Week 2: Linear Data Structures

  • Stacks and Queues
  • Understanding Stacks: LIFO operations, applications
  • Understanding Queues: FIFO operations, types of queues
  • Implementation using Arrays and Linked Lists
  • Practical Problems

Week 1 : Arrays and Strings

  • Overview of Arrays: Definition, operations, and use cases
  • Common Array Problems
  • Introduction to Strings: Basic operations and pattern matching
  • Practical Exercises

Week 1: Introduction and Foundations

  • Basics of Data Structures and Algorithms
  • Introduction to Data Structures and Algorithms
  • Importance of DSA in problem-solving and coding interviews
  • Types of Data Structures: Linear vs. Non-linear
  • Time Complexity and Space Complexity: Big O Notation
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