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Course Description

In computer science, a data structure is a particular way of organizing data in a computer so that it can be used efficiently.[1][2] Data structures can implement one or more particular abstract data types(ADT), which are the means of specifying the contract of operations and their complexity. In comparison, a data structure is a concrete implementation of the contract provided by an ADT.

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Course Syllabus
  • Lec-1 Introduction
  • Lec-2 C Programming-I
  • Lec-3 C Programming-II
  • Lec-4 C Programming-III
  • Lec-5 Data Structuring: Case Study-I
  • Lec-6 Data Structuring: Case Study-II
  • Lec-7 Data Structuring: Case Study-III
  • Lec-8 Problem Decomposition By Recursion-I
  • Lec-9 Problem Decomposition By Recursion-II
  • Lec-10 Problem Decomposition By Recursion-III
  • Lec-11 Mergesort And Quicksort
  • Lec-12 Characters And Strings
  • Lec-13 Arrays: Addresses And Contents
  • Lec-14 Structures-I
  • Lec-15 Structures-II
  • Lec-16 Dynamic Allocation Part-I
  • Lec-17 Linked Lists-I
  • Lec-18 Complexity(Efficiency) of Algorithms
  • Lec-19 Asymptotic Growth Functions
  • Lec-20 Asymptotic Analysis of Algorithms
  • Lec-21 Data Structuring
  • Lec-22 Search Trees
  • Lec-23 Search Trees-II
  • Lec-24 Search Trees-III
  • Lec-25 2-3 Trees
  • Lec-26 Algorithm Design-I
  • Lec-27 Algorithm Design-II
  • Lec-28 Algorithm Design-III
  • Lec-29 Graphs-I
  • Lec-30 Graphs-II
  • Lec-31 Graphs-III
  • Lec-32 Conclusions

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