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Data Structure Through C and C++ Training
Data Structure Through C and C++ Training
  • Data Structure
  • Prerequisites
  • How we Provide
  • Objective
  • Projects and JOB
  • Topics
What is Data Structure Through C and C++?

A data structure is an arrangement of data in a computer's memory or even disk storage. Data structure as an organization of information, usually in memory, for better algorithm efficiency, such as queue, stack, linked list, heap, dictionary, and tree, or conceptual unity, such as the name and address of a person. XPERT INFOTECH provides data structure through c and c++ training according to the current requirement of IT industry. It may include redundant information, such as length of the list or number of nodes in a sub tree. datastructure is a set of types, a designated type from that type set, a set of functions, and a set of axioms. That definition implies that a datastructure is a type with implementation. In our object-oriented programming era, type with implementation means class. A data structure is a way of storing and retrieving data efficiently.

There are two main objectives to study data structures. First one is to identify and develop useful entities and operations and decide what type of problems can be solved with these entities and operations. The second one is to decide how to represent those entities and implement operations on those representations. There are two types of data structures are available to C/C++ programmers. One type of data structures are already built into C/C++ programming languages. These can be Arrays, Structures and classes. Other one is complex data structures that can be implemented using built in data types and structures in C/C++ programming languages.

Some of the examples of these data structures are Stack, Queue, Linked List, Tree and Graph. Sometimes built in data structures do not full fill the requirements and we have to implement our own data structures. All of these complex data structures have their own strengths and weaknesses. Also they have their own usage in real life computer applications. Efficiency of these data structures can be measured by two factors (Time, Space). First one is the time taken to complete the instruction and give the output and Second If an application uses large amount of the structures, thus it will take more space to store and represent these structures.

Before going through Data Structure Through C and C++ Project training candidate should have knowledge of given concepts listed below:

  • Strong Knowledge C and C++ Programming
  • Basic knowledge of Programming Structure
  • Basic knowledge programming Algorithm
Data Structure Through C and C++ Programming Training provided by Real time Data Structure Programmer of our company, has more than 4 years of domain experience.

  • We will provide real time project training with code explanation and implementation.
  • Our training modules are completely designed according to current IT market.
  • After completion of 75% of course, student will go through Major Project Training, Live Project Training, Interview Preparation and Recruitment process in IT Industry.
  • Student will go through the training of Programming Structure of C and C++, Algorithm and Basic knowledge of Data Structure Through C and C++ Programming as a complimentary package before starting of Data Structure Through C and C++ Programming.
  • We offer regular, fast track and weekend training in Data Structure Through C and C++ Programming Courses.
  • Study material is provided with the course which consist of concepts, examples and real time examples.
Download Required Software:
  • Turbo C++
  • Dev C++
Benefits of Courses
  • C and C++ Developer
  • C and C++ Programmer
Data Structure Through C and C++ Programming Developer of our company, has more than 4 years of domain experience.

  • We will provide real time project training with code explanation and implementation.
  • Our training modules are completely designed according to current IT market.
  • After completion of 75% of course, student will go through Major Project Training, Live Project Training, Interview Preparation and Recruitment process in IT Industry.
  • Student will go through the training of HTML, CSS and JavaScript as a complimentary package before starting of Data Structure Through C and C++ Programming.
  • We offer regular, fast track and weekend training in Data Structure Through C and C++ Programming course.
  • Study material is provided with the course which consist of concepts, examples and real time examples.
First steps
  • How C became
  • Getting to know the GNU C compiler
  • The basic anatomy of a C program
Data types, operators and expressions (the basics)
  • Base data types and their sizes
  • Constants and declarations
  • Variable names
  • Arithmetic operators
  • Relational and logical operators
  • Increment and decrement operators
  • Increment and decrement operators
  • Assignment operators
  • Expressions
  • Operator precedence
  • Casting and type conversion
Program flow control
  • if - elset
  • switch
  • while , do-while and for-loops
  • Statements and blocks
Functions
  • Functions and function prototypes
  • Returning values from functions
  • External variables and scope rules
  • Static variables
  • call by value and recursion
Pointers and arrays
  • Pointers and addresses
  • Pointers as arguments to functions
  • Arrays
  • The relationship of pointers and arrays
  • Pointer arithmetic
  • How C deals with multi-dimensional arrays
  • Arrays of pointers - their uses and initialisation
  • Strings and string functions
Structures
  • Fundamentals of structures
  • Passing structures as arguments to functions
  • Returning structures as return values from functions
  • Arrays of structures
  • Pointers to structures
  • Using pointers to structures to pass values to a function and return values from a function
  • Typedef and its uses in developing well structured and maintainable code
An introduction to data structures and algorithms
  • Sorting arrays of records
  • Allocating and freeing memory (malloc and free)
  • Linked lists and queues
  • Indexing (table lookup, binary trees, hashing)
Input-output
  • Standard input and standard output
  • Formatted output - printf
  • Formatted input - scanf
  • The dangers of scanf
  • File access and file I/O
  • An overview of input-output in a windowing environment
Further topics
  • The MACRO pre-processor and how to use it wisely
  • Unions
  • Bit fields
  • Date and Time functions in the C Standard Library
  • Diagnostics- the assert macro
OOPS with C++
Introducing C++
  • Some Remarks about Programming
  • The Origins of C++
  • ANSI C++
  • The C++ Programming Environment in UNIX
  • An Example C++ Program
  • Very Simple Input, Output and Assignment
  • Simple Flow of Control
  • Preliminary Remarks about Program Style
Variables, Types and Expressions
Identifiers
Data Types
  • Integers
  • Real numbers
  • Type Casting
  • Characters
  • Strings
  • User Defined Data Types
Some Tips on Formatting Real Number Output
Declarations, Constants and Enumerations
  • Enumerations
  • Where to put Constant and Variable Declarations
Assignments and Expressions
  • Shorthand Arithmetic Assignment Statements
  • Boolean Expressions and Operators
  • Constructors, Assignment, and Destructor
  • Templates
Functions and Procedural Abstraction
  • The Need for Sub-programs
  • User-defined Functions
  • Value and Reference Parameters
  • Functions which use Value Parameters are Safe
Reference Parameters
  • Polymorphism and Overloading
  • Procedural Abstraction and Good Programming Style
  • Splitting Programs into Different Files
Files and Streams
  • Why Use Files?
  • Streams
  • Creating Streams
  • Connecting and Disconnecting Streams to Files
  • Checking for Failure with File Commands
  • Character Input and Output
  • Input using "get()"
  • Output using "put()"
  • The "putback()" Function
  • Checking for the End of an Input File
  • Streams as Arguments in Functions
  • Input and Output Using ">>" and "<<"
Branch and Loop Statements
  • Boolean Values, Expressions and Functions
  • "For", "While" and "Do ... While" Loops
  • Multiple Selection and Switch Statements
  • Blocks and Scoping
  • A Remark about Nested Loop Statements
Arrays and Strings
  • The Basic Idea and Notation
  • Declaring an array
  • Assignment Statements and Expressions with Array Elements
  • Arrays as Parameters in Functions
  • Sorting Arrays
  • Two-dimensional Arrays
  • Strings
  • The Sentinel String Character '\0'
  • String Variable Declarations and Assignments
  • Some Predefined String Functions
  • String Input using "getline()"
Pointers
  • Introducing Pointers
  • Declaring Pointers
  • Assignments with Pointers Using the Operators "*" and "&"
  • The "new" and "delete" operators, and the constant "NULL"
  • Array Variables and Pointer Arithmetic
  • Dynamic Arrays
  • Automatic and Dynamic Variables
  • Linked Lists
  • The "." and "->" Operators
  • Creating a Linked List
  • Printing a Linked List
Recursion
  • The Basic Idea
  • A Simple Example
  • The Mechanics of a Recursive Call
  • Recursion and Iteration
  • Recursive Data Structures
  • Quick Sort - A Recursive Procedure for Sorting
Inheritanc
Encapsulation
emacs and g++
Debugging
General Tips on Debugging
The "assert" Function
Stubs and Drivers
Some Common Errors to Look Out For
Debugging Very Bad Programs
A.2.2 The GNU debugger gdb
DATA STRUCTURES
SORTING AND SEARCHING TECHNIQUES
  • Bubble, Selection, Insertion, Shell sorts and Sequential, Binary, Indexed Sequential Searches, Interpolation, Binary Search Tree Sort, Heap sort, Radix sort
Analysis of Algorithms
  • Algorithm, Pseudo code for expressing algorithms, time complexity and space complexity, O-notation, Omega notation and theta notation.
HASHING TECHNIQUES
  • Hash function
  • Address calculation techniques, Common hashing functions
  • Collision resolution
  • Linear probing, Quadratic
  • Double hashing
  • Bucket hashing
  • Deletion and rehashing
LINEAR LISTS
  • Stacks: LIFO structure, create, POP, PUSH, delete stack
  • Queues: FIFO structure Priority Queues, Circular Queues, operations on Queues
  • Linear List Concept
  • List v/s Array, Internal pointer & External pointer, head, tail of a list, Null list, length of a list
  • Linked Lists
    • Nodes, Linked List Data Structure
  • Nodes, Linked List Data Structure
  • Linked Lists algorithms
    • Create List
    • Insert Node (empty list, beginning, Middle, end)
    • Search list
    • Retrieve Node, add node, Remove node, Print List
    • Append Linked List, array of Linked Lists
Complex Linked List structures
  • Header nodes
  • Circularly-Linked List
  • Doubly Linked List
  • Insertion, Deletion
  • Multilinked Lists
  • Insertion, Deletion
INTRODUCTION TO TREES
  • Binary Treesinked List
    • Travesals (breadth-first, depth-first)
  • Expression Trees
    • (Infix, Prefix, Postfix Traversals)
  • General Trees
  • Search Trees
  • Binary Search Trees
HEAPS
  • Structure
  • Basic algorithms – ReheapUp, ReheapDown, Build heap, Insert, Delete
MULTIWAY TREE
  • M-way search trees
  • B-Trees
    • Insertion (Insert node, Search node, Split node, Insert entry)
    • Deletion (Node delete, Delete entry, Delete mid, ReFlow, Balance, Combine)
    • Traverse B-Tree
  • B-Tree Search
HEAPS
  • Structure
  • Basic algorithms – ReheapUp, ReheapDown, Build heap, Insert, Delete
MULTIWAY TREE
  • M-way search trees
  • B-Trees
    • Deletion (Node delete, Delete entry, Delete mid, ReFlow, Balance, Combine)
    • Traverse B-Tree
    • M-way search trees
  • B-Tree Search
GRAPHS
  • Terminology
  • Operations (Add vertex, Delete Vertex, Add Edge, Delete Edge, Find Vertex)
  • Traverse Graph (Depth-First, Breadth-First)
  • Graph Storage Structures (Adjacency Matrix, Adjacency List)
  • Networks
  • Minimum Spanning Tree
  • Shortest Path Algorithm
  • (Dijkstra’s algorithm, Kruskal’s algorithm, Prim’s algorithm, Warshall’s algorithm)
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