Data structures & Algorithms Full Syllabus

Datastructures & Algorithms is a very important and foundational topic in Computer Science & Information Technology for Software Developers. It forms the basis of all software development tasks. However, learners often get lost in the vast world of Data structures & Algorithms. We, at Meritstore have thus decided to streamline the whole Data structures and algorithms syllabus so that you can study the topic with ease.

What are Data structures

Types of Data Structures

There are two types of data structures – Linear & non-linear. Linear data structures are data structures in which elements are stored in a sequence. E.g. Arrays where each element is in a sequence. Non-linear data structures are those data structures in which elements are not stored in a sequence. E.g. Trees, where elements are not in a sequence in memory but at different positions based on tree structure.

List of Linear Data structures:

  1. Array
  2. Linked List
  3. Queue
  4. Stack

List of Non-linear Data Structures:

  1. Trees
  2. Graph

Data structure Operations

The next important point is being able to operate different functions/operations on each of the above-mentioned data structures. You need to learn operations like Traversal, Insertion, Modification, Deletion, Search, and Sort on each data structure.

Time and Space Complexity Analysis

Time & Space complexity refers to the amount of time & memory space consumed with respect to the amount of inputs provided.

Types of Algorithms

(These are algorithms which are not specific to any particular data structure and can be applied to any data structure):

  1. Recursion
  2. Dynamic Programming
  3. Backtracking
  4. Greedy Algorithm

 

So, we hope we have stream lined the syllabus and now you have a clearer view of how to ace Data structures and Algorithms. The blog post contains many links to learn further each topic in detail.

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