Data structures and algorithms syllabus

  • Data Structures and Algorithms in Java

    It's not about the number of questions but the quality of learning from questions that makes someone a great programmer.
    Hence, practice a total of 300 questions that is 30 questions per topic and stay consistent with your practice for at least 5-6 months.
    Never memorise the code..

  • Data Structures and Algorithms in Java

    Learn at least one Programming language
    This should be your first step while starting to learn data structure and algorithms.
    We as human beings, before learning to write a sentence or an essay on a topic, first try to learn that language: the alphabet, letters, and punctuations in it, how and when to use them.6 days ago.

  • Data Structures and Algorithms in Java

    Usually, it takes 2-3 months to learn the basics and then a rigorous, six months regular practice of questions to master data structures and algorithms..

  • How should I practice data structures and algorithms?

    5 Steps to learn DSA from scratch

    1. Learn a programming language of your choice
    2. Learn about Time and Space complexities
    3. Learn the basics of individual Data Structures and Algorithms
    4. Practice, Practice, and Practice more
    5. Compete and Become a Pro

  • What is taught in data structures and algorithms?

    Data structures and algorithms (DSA) goes through solutions to standard problems in detail and gives you an insight into how efficient it is to use each one of them.
    It also teaches you the science of evaluating the efficiency of an algorithm.
    This enables you to choose the best of various choices..

  • What is the syllabus of data structures and algorithms?

    Basic Data Structures: Arrays, Strings, Stacks, Queues.
    Asymptotic analysis (Big-O notation) Basic math operations (addition, subtraction, multiplication, division, exponentiation) Sqrt(n) primality testing..

  • What is the topic of data structure and algorithm?

    A data structure is a method of organizing data in a virtual system.
    Think of sequences of numbers, or tables of data: these are both well-defined data structures.
    An algorithm is a sequence of steps executed by a computer that takes an input and transforms it into a target output..

This section lists out the syllabus, the learning resources and Mock Tests to help you prepare for the data structures and algorithms Certification test.

What are the basic data structures used in this module?

In this module, you will learn about the basic data structures used throughout the rest of this course

We start this module by looking in detail at the fundamental building blocks: arrays and linked lists

From there, we build up two important data structures: stacks and queues

What is the purpose of the data structure course?

Course Content:The goal of the course is to teach fundamental data structures, which allow one to store collections of data with fast updates and queries

We will cover most of chapters 1-9, and parts of 10-12 as time permits

A detailed schedulewill evolve as the semester progresses

Learn Data Structures and Algorithms

  • Syllabus: The syllabus for Foundation level is mentioned below: Basic Data Structures: Arrays, Strings, Stacks, Queues Asymptotic analysis (Big-O notation) Basic math operations (addition, subtraction, multiplication, division, exponentiation) Sqrt (n) primality testing Euclid’s GCD Algorithm ...
  • Learning Resources: Asymptotic analysis (Big-O notation) Basic youtube.com - Time complexity of a computer program ...

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