Become a Software Development Engineer

Become a Software Development Engineer, available at $19.99, has an average rating of 4.35, with 171 lectures, 2 quizzes, based on 12 reviews, and has 224 subscribers.

You will learn about Acquire skills in C++, data structures, focusing on array operations, linked lists, trees, and graph representations. Understand and implement key algorithmic paradigms, including brute force, backtracking, and recursion for problem-solving. Master the essence of greedy algorithms, distinguishing scenarios for optimal local choices leading to global solutions. Unravel the logic of dynamic programming, learning techniques to break down complex problems into approachable sub-problems. This course is ideal for individuals who are This course is designed for beginners to advanced learners in computer science, aspiring software developers prepping for tech interviews, competitive programming enthusiasts, and tech professionals aiming to deepen their knowledge in data structures and C++. It is particularly useful for This course is designed for beginners to advanced learners in computer science, aspiring software developers prepping for tech interviews, competitive programming enthusiasts, and tech professionals aiming to deepen their knowledge in data structures and C++.

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Summary

Title: Become a Software Development Engineer

Price: $19.99

Average Rating: 4.35

Number of Lectures: 171

Number of Quizzes: 2

Number of Published Lectures: 171

Number of Published Quizzes: 2

Number of Curriculum Items: 175

Number of Published Curriculum Objects: 174

Original Price: $79.99

Quality Status: approved

Status: Live

What You Will Learn

Acquire skills in C++, data structures, focusing on array operations, linked lists, trees, and graph representations.

Understand and implement key algorithmic paradigms, including brute force, backtracking, and recursion for problem-solving.

Master the essence of greedy algorithms, distinguishing scenarios for optimal local choices leading to global solutions.

Unravel the logic of dynamic programming, learning techniques to break down complex problems into approachable sub-problems.

Who Should Attend

This course is designed for beginners to advanced learners in computer science, aspiring software developers prepping for tech interviews, competitive programming enthusiasts, and tech professionals aiming to deepen their knowledge in data structures and C++.

Target Audiences

This course is designed for beginners to advanced learners in computer science, aspiring software developers prepping for tech interviews, competitive programming enthusiasts, and tech professionals aiming to deepen their knowledge in data structures and C++.

This course will teach you essential skills to become a software development engineer. You will cover fundamentals of computer science, data structures, algorithms, database management systems, and operating systems.

The course is divided into the following modules:

1. Fundamentals of Computer Science:

   This module will introduce you to the basic concepts of computer science, such as data types, algorithms, and programming languages. You will also learn about the hardware and software components of a computer system.

2. Programming:

   This module will teach you the basics of the C++ programming language, including variables, loops, functions, and classes. You will also learn about object-oriented programming and how to use C++ to develop software applications.

3. Data Structures:

   This module will introduce you to the different types of data structures, such as arrays, lists, and trees. You will also learn how to implement these data structures in C++.

4. Algorithms:

   This module will teach you about the different types of algorithms, such as sorting and searching algorithms. You will also learn how to analyze the efficiency of algorithms.

5. Database Management Systems:

   This module will introduce you to the different types of database systems, such as relational databases and NoSQL databases. You will also learn about the different operations that can be performed on databases, such as querying and updating data.

6. Operating Systems:

   This module will introduce you to the different components of an operating system, such as the kernel, memory management, and file system. You will also learn about the different types of operating systems, such as Windows, macOS, and Linux.

If you are interested in becoming a software development engineer, this course is a great place to start. It will give you the skills and knowledge you need to succeed in this challenging and rewarding field.

Here are some of the benefits of taking this course:

Learn from an experienced software development engineer with over 10 years of experience.

Get hands-on experience with C++, data structures, algorithms, and other essential skills.

Complete practical exercises and projects to test your knowledge.

Learn at your own pace and from anywhere in the world.

Course Curriculum

Chapter 1: Fundamentals of Computer Science

Lecture 1: Fundamentals of Computer Science

Chapter 2: Programming with C++

Lecture 1: Introduction to C++

Lecture 2: C++ Operators

Lecture 3: C++ Conditionals

Lecture 4: C++ Loops

Lecture 5: C++ Jump Statement

Lecture 6: C++ Comments and Functions

Lecture 7: C++ Call by value & Reference

Lecture 8: C++ Recursion

Lecture 9: C++ Storage Classes

Lecture 10: C++ Arrays

Lecture 11: C++ Array to Function

Lecture 12: C++ Multidimensional Arrays

Lecture 13: C++ Pointers

Lecture 14: C++ References

Lecture 15: C++ Memory Management

Lecture 16: C++ OOPs

Lecture 17: C++ Constructor and Destructor

Lecture 18: C++ This Pointer, static, Structs & Enumeration

Lecture 19: C++ Friend Function

Lecture 20: C++ Math Functions

Lecture 21: C++ Inheritance, Aggregation & Polymorphism

Lecture 22: C++ Overloading and Overriding

Lecture 23: C++ Virtual Function

Lecture 24: C++ Abstraction

Lecture 25: C++ Interfaces

Lecture 26: C++ Namespaces

Lecture 27: C++ Strings

Lecture 28: C++ Exception Handling

Lecture 29: C++ try/catch

Lecture 30: C++ User-Defined Functions

Lecture 31: C++ Templates

Lecture 32: C++ Signal Handling

Lecture 33: C++ File & Stream

Lecture 34: C++ getline()

Chapter 3: Data Structures

Lecture 1: Introduction to Arrays & Types of Array

Lecture 2: Various Operations on Arrays

Lecture 3: Largest Element in an Array

Lecture 4: Check if an Array is Sorted

Lecture 5: Second Largest Element in Array

Lecture 6: Reverse an Array

Lecture 7: Remove duplicates from a sorted array

Lecture 8: Left Rotate an Array by One & Left Rotate an Array by D places

Lecture 9: Move Zeros to End

Lecture 10: Introduction to Strings

Lecture 11: Reverse, Pangram, Case conversion

Lecture 12: Validation, Length

Lecture 13: Palindrome Check

Lecture 14: Overview of Pattern Searching

Lecture 15: Pattern Matching Algorithms:

Lecture 16: Rabin Karp Algorithm

Lecture 17: KMP Algorithm

Lecture 18: Rotations Check of two Strings

Lecture 19: Anagram

Lecture 20: Introduction to Linked List and Implementation

Lecture 21: Traversal, Insertion and Deletion

Lecture 22: Sorted Insertion in Linked List

Lecture 23: Reversal of Linked List (Iterative and Recursive)

Lecture 24: Stack Data Structure

Lecture 25: Array Implementation of Stack in C++

Lecture 26: Linked List Implementation of Stack in C++

Lecture 27: Stack Applications

Lecture 28: Queue Data Structure

Lecture 29: Application of Queue

Lecture 30: Implementation of Queue using Array

Lecture 31: Implementation of Queue using Linked List

Lecture 32: Tree Data Structure & Application of Tree

Lecture 33: Binary Tree & Tree Traversal

Lecture 34: Implementation of Inorder Traversal

Lecture 35: Implementation of Preorder Traversal

Lecture 36: Implementation of Postorder Traversal

Lecture 37: Height of Binary Tree, Print Nodes at K distance

Lecture 38: Iterative Inorder Traversal

Lecture 39: Iterative Preorder Traversal

Lecture 40: Binary Search Tree & Search in BST (Introduction)

Lecture 41: Insert, Deletion, Floor & Ceil in BST

Lecture 42: Self Balancing BST

Lecture 43: Direct Address Table, Hashing Functions & Collision Handling

Lecture 44: Chaining & Implementation of Chaining

Lecture 45: Open Addressing, Double Hashing

Lecture 46: Subarray with zero sum & given sum

Lecture 47: Longest subarray

Lecture 48: Count Distinct Elements & Frequencies of array elements

Lecture 49: Binary Heap Introduction & Implementation

Lecture 50: Binary Heap (Heapify and Extract)

Lecture 51: Binary Heap (Decrease Key, Delete and Build Heap)

Chapter 4: Algorithms

Lecture 1: Getting Started with Algorithms

Lecture 2: Linear & Binary Search

Lecture 3: Bubble Sort

Lecture 4: Selection Sort

Lecture 5: Insertion Sort

Lecture 6: Quick Sort

Lecture 7: Merge Sort

Lecture 8: What are Greedy Algorithms

Lecture 9: Fractional Knapsack

Instructors

Board Infinity
Board Infinity: Empowering Careers with Learning Paths

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3 stars: 2 votes

4 stars: 3 votes

5 stars: 7 votes

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