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23CS02 - DATA STRUCTURES (Theory)

Data Structures is a fundamental subject in computer science that deals with organizing, storing, and managing data efficiently. It helps in performing operations such as insertion, deletion, searching, and sorting in an optimized way.

PREREQUISITE: C Programming Language

COURSE OUTCOMES (COs): At the end of the course, students will be able to

  • CO1: Understand the role of linear and nonlinear data structures in organizing and accessing data.
  • CO2: Implement abstract data type (ADT) and data structures for given application.
  • CO3: Design algorithms based on techniques like linked list, stack, queue, trees etc.
  • CO4: Apply the appropriate linear and nonlinear data structure techniques for solving a problem.
  • CO5: Design hash-based solutions for specific problem.
UNIT-1:  Introduction to Linear Data Structures: Definition and importance of linear data structures, Abstract data types (ADTs) and their implementation, Overview of time and space complexity analysis for linear data structures. Searching Techniques: Linear & Binary Search, Sorting Techniques: Bubble sort, Selection sort, Insertion Sort
  • LECTURE NOTES -PDF:
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  • DESCRIPTIVE QUESTIONS: 
    UNIT II: Linked Lists: Singly linked lists: representation and operations, doubly linked lists and circular linked lists, Comparing arrays and linked lists, Applications of linked lists.
    • LECTURE NOTES -PDF:  
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    • DESCRIPTIVE QUESTIONS:     
      UNIT III:       Stacks: Introduction to stacks: properties and operations, implementing stacks using arrays and linked lists, Applications of stacks in expression evaluation, backtracking, reversing list etc.
      • LECTURE NOTE -PDF:
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      • DESCRIPTIVE QUESTIONS:  
      UNIT IV:
      • Queues: Introduction to queues: properties and operations, implementing queues using arrays and linked lists, Applications of queues in breadth-first search, scheduling, etc.
      • Deques: Introduction to deques (double-ended queues), Operations on deques and their applications.
      • LECTURE NOTE -PDF:
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      • DESCRIPTIVE QUESTIONS:  
      UNIT V:
      • Trees: Introduction to Trees, BinarySearch Tree – Insertion, Deletion & Traversal
      • Hashing: Brief introduction to hashing and hash functions, Collision resolution techniques: chaining and open addressing, Hash tables: basic implementation and operations, Applications of hashing in unique identifier generation, caching, etc.





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