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++.
Enroll now: Become a Software Development Engineer
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:
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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.
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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.
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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++.
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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.
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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.
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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:
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Learn from an experienced software development engineer with over 10 years of experience.
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Get hands-on experience with C++, data structures, algorithms, and other essential skills.
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Complete practical exercises and projects to test your knowledge.
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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
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Board Infinity
Board Infinity: Empowering Careers with Learning Paths
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 7 votes
Frequently Asked Questions
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