C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR

C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR

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C & DATA STRUCTURE, PYTHON, APTITUDE, GROUP DISCUSSION, AND HR Course Contents

Module 1: C

1.1: Introduction of Programming Languages
  • Types of Languages
  • Evolution of 'C' Language
  • Structure of a ‘C’ Program
  • C Programme development life cycle
  • Executing and Debugging a 'C’ Program

1.2: C Tokens
  • Keywords and Identifiers
  • Operators
  • Constants
  • Variables
  • Data Types
  • Precedence of Operators
  • Scope and Lifetime of Variables

1.3: Control Statement and Expressions
  • Decision Making using if statement
  • Types of if ...else block
  • Switch case Block
  • Arithmetic Expressions
  • Evaluation of Expressions
  • GOTO statement

1.4: Looping
  • Concept of Loop
  • For loop
  • While loop
  • Jumping in Loop
  • Break and Continue statement

1.5: Arrays and String
  • Introduction of Array
  • One - D Array
  • Two - D Array
  • Multidimensional Array
  • Dynamic Arrays
  • Implementing String Variables

1.6: Functions
  • Concept of Function
  • User defined Function
  • System Defined Function
  • Types of parameter passing in function

1.7: Strings
  • Strings versus character arrays
  • Initializing Strings
  • Reading String
  • Displaying String
  • The %s format specifier
  • The gets() and puts() functions
  • String handling functions
  • String pointers
  • Two-dimensional character arrays or array of string
  • Array of pointers to strings

1.8: Pointers
  • Need of Pointers
  • Types of Pointers
  • Pointer Expression
  • Arrays of Pointers
  • Pointers and Functions

1.9: Structure and Unions
  • Need of Structure
  • Implementing Structure Variable
  • Arrays of Structure
  • Structure within Structure Introduction of Unions
  • Difference between Structure and Unions

1.10: File Handling using C
  • Opening and Closing File
  • Input / Output operations on File
  • Random Access to Files
  • Command Line Arguments

1.11: Dynamic Memory Allocation
  • Concept of Dynamic Allocation
  • Implementing Malloc and Calloc Functions realloc Functions, free Function
  • Core dump, Memory leak
  • Releasing the free space

1.12: Storage Classes and Pre-processor
  • Introduction of Storage Class
  • Types of Storage Classes
  • Introduction of Pre-processor
  • Macro Substitution
  • File Inclusion

1.13: Assignments

Module 2: DATA STRUCTURE

2.1 Introduction to Data Structures and Algorithms
  • Data Structures and Algorithms
  • Measuring Running time of Algorithms
  • Asymptotic Analysis
  • Big O Notation
  • Finding Big
  • Tight and Loose Upper Bounds
  • Big O analysis of Algorithms
  • Finding Time Complexity
  • Big O analysis of Algorithms: Examples
  • Worst case, Best case and Average Case Analysis
  • Common Complexities
  • Abstract Data Types

2. 2: Linked List
  • Introduction to Linked List in C
  • Traversing and Searching a Single Linked List
  • Finding Pointers in a Single Linked List
  • Insertion in a Single Linked List
  • Deletion in a Single Linked List
  • Reversing a Single Linked List
  • Doubly linked list
  • Insertion in a doubly linked List
  • Deletion from doubly linked list
  • Reversing a doubly linked list
  • Circular linked list
  • Insertion in a circular Linked List
  • Deletion in a circular linked list
  • Concatenation
  • Linked List with Header Node
  • Sorted linked list
  • Merging of sorted Linked lists
  • Sorting a Linked list using Bubble Sort
  • Sorting a Linked list using Merge Sort
  • Finding and Removing a cycle in a Linked list

2.3: Stack and Queue
  • Stack
  • Array Implementation of Stack
  • Linked List Implementation of Stack
  • Queue
  • Array Implementation of Queue
  • Linked List implementation of Queue
  • Queue through Circular Linked List
  • Circular Queue
  • Deque
  • Priority Queue
  • Checking validity of an expression containing nested parentheses
  • Function calls
  • Evaluating Arithmetic Expressions
  • Polish Notations
  • Converting infix expression to postfix expression
  • Evaluation of postfix expression

2.4: Recursion
  • Introduction
  • Flow of control in Recursive functions
  • Winding and unwinding phase
  • Euclids Algorithm
  • Tail recursion
  • Recursion vs. Iteration

2.5: Binary Tree
  • Introduction to Trees
  • Binary Tree
  • Strictly Binary Tree and Extended Binary Tree
  • Full binary tree and Complete Binary Tree
  • Array Representation of Binary trees
  • Linked Representation of Binary Trees
  • Traversal in Binary Tree
  • Preorder Traversal
  • Inorder Traversal
  • Level order traversal
  • Finding height of a Binary tree

2.6: Binary Search Tree
  • Traversal in Binary Search Tree
  • Searching in a Binary Search Tree
  • Nodes with Minimum and Maximum key
  • Insertion in a Binary Search Tree
  • Deletion in a Binary Search Tree

2.7: Heap
  • Heap Representation
  • Insertion in Heap
  • Deletion
  • Building a Heap
  • Heap Applications

2.8: Sorting
  • Introduction to Sorting Algorithms
  • Sort Stability
  • Selection Sort
  • Bubble Sort
  • Insertion Sort
  • Shell Sort
  • Merging two Sorted Arrays
  • Recursive Merge Sort
  • Iterative Merge Sort
  • Quick Sort
  • Binary tree sort
  • Heap Sort
  • Radix Sort

2.9: Searching
  • Linear Search
  • Variations of Linear Search
  • Binary Search

2.10: Hashing
  • Direct Addressing
  • Hashing
  • Collisions
  • Hash Functions
  • Open Addressing : Linear Probing
  • Open Addressing : Quadratic Probing
  • Open Addressing : Double Hashing
  • Deletion in Open Addressed Tables
  • Separate Chaining

2.11: Tree
  • Tree concept & types
  • Tree traversal (Inorder, Preorder and Postorder)
  • Binary Search Tree (BST) implementation

2.12: Graph
  • Introduction, DFS and BFS
  • Graph Cycle
  • Topological Sorting
  • Minimum Spanning Tree
  • Back Tracking
  • Shortest Paths

2.13: Assignments

MODULE 3: PYTHON

3.1: Overview
  • Overview
  • History of Python
  • Python Features
  • Environment Setup
  • Getting Python installing Python
  • Setting up PATH
  • Setting path at Windows
  • Python Environment Variables
  • Running Python

3.2: Basics Syntax
  • Python Programme
  • Python Identifiers
  • Python Keywords
  • Lines and Indentation
  • Python Comments in Python

3.3: Data Types
  • Assigning Values to Variables
  • Multiple Assignment
  • Standard Data Types
  • Python Numbers
  • Python Strings
  • Python Lists
  • Data Type Conversion

3.4: Operators, Decision Making and Loop
  • Different types of Operator
  • If...else Statement
  • elif Statement
  • For Loop
  • Break Statement
  • Continue Statement

3.5: Functions
  • Types of Functions
  • Inbuilt functions
  • Advantages of user define function
  • Different types of user define functions

3.6: FILES I/O
  • Using input function taking data from command line
  • Opening and Closing Files
  • Performing Reading
  • Writing and Appending operation using Python

3.7: Class and Object
  • Overview of Object Oriented Programming
  • Creating Class
  • Built-in Class Attributes
  • Inheritance
  • Method Overriding, Data Hiding

3.8: Exceptions
  • What is Exception?
  • Handling an Exception
  • The except Clause with No Exceptions
  • The try-finally Clause

3.9: CGI Programming
  • What is CGI?
  • Web Browsing
  • CGI Architecture
  • Web Server Support and Configuration
  • First CGI Program
  • HTTP Header
  • CGI Environment Variables
  • GET and POST Methods
  • Passing Information using GET method
  • Passing Drop Down Box Data to CGI Program
  • DATABASE ACCESS, What is pymysql?
  • How do | Install pymysql?
  • Database Connection
  • Creating Database Table
  • INSERT, READ and Update Operation, DELETE Operation, Search Operation
  • Disconnecting Database
  • Cookies in CGI

MODULE 4: APTITUDE

4.1: Quantitative Aptitude
  • Numbers
  • LCM & HCF
  • Work & Wages
  • Pipes & Cisterns
  • Time Speed & Distance
  • Trains Boats & Streams
  • Percentage
  • Ratio, Proportion & Partnership
  • Mixture & Alligation
  • Algebra
  • Average
  • Age
  • Profit & Loss
  • Simple Interest
  • Compound Interest
  • Trigonometry ,Height & Distance
  • Permutation and Combinations
  • Probability
  • Clocks
  • Simplification & Approximation
  • Time & Work
  • Data Interpretation
  • Factors & Factorials

4.2 Reasoning
  • Questions & Statements
  • Verification of the Truth of the Statement
  • Statement & Conclusion
  • Syllogism
  • Statements & Assumptions
  • Decision Making
  • Cause & Effect
  • Venn Diagrams
  • Arrangement Problems
  • Numbers

MODULE 5: HR & GROUP DISCUSSION

5.1 Resume Building & Personal Branding
  • Importance of a well-structured resume
  • Components of an impactful resume
  • Common mistakes to avoid
  • LinkedIn profile optimization

5.2 Communication Skills
  • Verbal & Non-verbal communication
  • Professional email and message writing
  • Active listening and body language
  • Pronunciation and fluency tips

5.3 Presentation Skills
  • Structuring your thoughts for clarity
  • PowerPoint/visual aid basics
  • Handling stage fear
  • Speaking with confidence and clarity

5.4 Behavioral Skills & Etiquette
  • Professional etiquette & workplace behavior
  • Teamwork and collaboration
  • Adaptability and positive attitude
  • Time management & punctuality

5.5 Interview Preparation
  • Types of interviews (HR, technical, panel, telephonic, etc.)
  • Frequently Asked HR Questions & ideal responses
  • STAR method for answering behavioral questions
  • Mock interview sessions with feedback

5.6 Group Discussion (GD) Techniques
  • GD format and expectations
  • Do's and Don'ts in a GD
  • Handling pressure and aggressive participants
  • Practicing with trending topics

5.7 Emotional Intelligence (EI)
  • Understanding self-awareness
  • Empathy in professional interactions
  • Managing stress and workplace conflicts

5.8 Corporate Culture & Ethics
  • Company expectations & workplace dynamics
  • Integrity and professionalism
  • Understanding diversity and inclusion

5.9 Leadership & Initiative
  • Qualities of a good leader
  • Taking responsibility and ownership
  • Initiative vs instruction: thinking ahead

5.10 Career Visioning & Goal Setting
  • Short-term vs long-term goal planning
  • Career growth mindset
  • Staying motivated through setbacks
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