Data Structure & Algorithm

Data Structure & Algorithm

Introduction

Qualifying for a professional interview can be quite challenging. It would be best if you had a hard clasp on the basic concepts of Computer Engineering and relevant subjects while preparing for a technical interview.

One of the most popular topics in technical interviews is data structures and algorithms. Many students and professionals encounter with understanding this concept. That’s why we have introduced this on training. It will help you in studying data structure and algorithm in very easy manner.

What are Data Structures?

Data structures are methods of gathering and organizing data. Using data structures helps you in applying certain operations on your data effectively. We all know how beneficial it is to keep things organized. Having a designated location for everything helps you find that thing later, enabling you to save time and energy.

A data structure helps your program similarly. It allows you to store and arrange data properly so you can use it through different operations. There are different types of data structures, and they all have certain advantages (and disadvantages). You should choose a data structure according to the requirements of your problem. The data structure should make your solution more efficient and less complicated when you implement it.

What is an Algorithm?

In layman terms, algorithms are a collection of steps you can use to solve a problem. You can say every algorithm is a solution. Another great simile for algorithms would be recipes.

Like a specific recipe helps you cook a particular dish with certain ingredients, an algorithm helps your machine solve a particular problem with a particular input.

As algorithms are lists of steps, you can see why they are quite popular. When a chef creates a particular recipe for a dish, they can share it with others, and they would be able to cook the same dish by following that recipe. Similarly, you can use an algorithm to solve specific problems and share it with others who might want to fix that same issue.

An algorithm is not the complete program or code. You can express an algorithm through a flowchart or pseudocode.

Objective of this Training

The Training is intended to provide the foundations of the practical implementation and usage of Algorithms and Data Structures. One objective is to ensure that the student evolves into a competent programmer capable of designing and analyzing implementations of algorithms and data structures for different kinds of problems. The second objective is to expose the student to the algorithm analysis techniques, to the theory of reductions, and to the classification of problems into complexity classes like NP.

Learning Objectives

By the ending of this Training, you will be able to:

 Design and analyze programming problem statements.

 Choose appropriate data structures and algorithms, understand the ADT/libraries, and use it to design algorithms for a specific problem.

 Understand the necessary mathematical abstraction to solve problems.

 Come up with analysis of efficiency and proofs of correctness.

 Comprehend and select algorithm design approaches in a problem specific manner.

Eligibility Required

 BE/BTech. (All Streams)

 BCA, BSc (CS/IT) Degree

 PGDCA, MCA, ME /MTech

On completion of this training, you will be work as -

 Java Developer

 Data Engineer

 Full Stack Developer

 C++ Developer D S & A

 Backend Developer

 UI Developer