Software Engineering : Master Software Engineering in C#
Software Engineering : Master Software Engineering in C#, available at $44.99, has an average rating of 4.2, with 35 lectures, based on 37 reviews, and has 4540 subscribers.
You will learn about Understand Core Concepts of Software Engineering Understand Sorting Algorithms Understand Data Structures Understand Software Engineering This course is ideal for individuals who are Anyone who wants to improve Problem Solving skills or Anyone who wats to learn Software engineering or Anyone who wants to learn Data Structures and Sorting Algorithms It is particularly useful for Anyone who wants to improve Problem Solving skills or Anyone who wats to learn Software engineering or Anyone who wants to learn Data Structures and Sorting Algorithms.
Enroll now: Software Engineering : Master Software Engineering in C#
Summary
Title: Software Engineering : Master Software Engineering in C#
Price: $44.99
Average Rating: 4.2
Number of Lectures: 35
Number of Published Lectures: 35
Number of Curriculum Items: 35
Number of Published Curriculum Objects: 35
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand Core Concepts of Software Engineering
- Understand Sorting Algorithms
- Understand Data Structures
- Understand Software Engineering
Who Should Attend
- Anyone who wants to improve Problem Solving skills
- Anyone who wats to learn Software engineering
- Anyone who wants to learn Data Structures and Sorting Algorithms
Target Audiences
- Anyone who wants to improve Problem Solving skills
- Anyone who wats to learn Software engineering
- Anyone who wants to learn Data Structures and Sorting Algorithms
In order to create Efficient Algorithms, you must start from bottom. Learn the important concepts of problem solving and Software engineering. And then use the knowledge you gain to create your own algorithms. Algorithms are essential part of computer science and programing. Every program is executing some Algorithm. So it is important to know how to create efficient algorithms.
I think every programmer expierienced null pointer exception or something like that. These errors are not created by “not knowing the programming language” but they are created because the algorithm is incorrect. So what do you think is more important, Algorithms or programming language ?
By learning Software engineering concepts. You will be able to create algorithms. Ofcourse it takes also practice, but learning software engineering is first step to better algorithms and better analythic thinking.
In this course I will go through Software engineering ( algorithms and data structures, problem solving)
In Sorting Algorithms section you will learn:
- Selection Sort
- Bubble Sort
- Recursion
- Merge Sort
- Quick Sort
In Data Structures section you will learn:
- What is Data Structure
- Binary Search Tree
- AVL tree
- Linked List
- Trie
- Hash Table
In Problem Solving section you will learn:
- Divide and Conquer
- Dynamic programming
- Greedy Aproach
- Backtracking
And I will explin these techniques on:
- 0-1 Knapsack problem
- Kruskal’s algorithms
So do you want to learn software engineering ?
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Say Hello 🙂
Lecture 3: Resources
Chapter 2: Sorting Algorithms
Lecture 1: Sorting Problem
Lecture 2: Selection Sort
Lecture 3: CODE | Selection Sort
Lecture 4: Bubble Sort
Lecture 5: CODE | Bubble Sort
Lecture 6: Recursion
Lecture 7: CODE | Recursion
Lecture 8: Merge Sort
Lecture 9: CODE | Merge Sort
Lecture 10: Quick Sort
Lecture 11: CODE | Quick Sort
Lecture 12: Comparing
Lecture 13: CODE | Comparing
Chapter 3: Data Structures
Lecture 1: What is Data Structure
Lecture 2: Binary search tree
Lecture 3: CODE | Binary Search Tree
Lecture 4: AVL tree
Lecture 5: AVL tree (insertion)
Lecture 6: AVL tree (deletion)
Lecture 7: CODE | AVL tree
Lecture 8: Linked List
Lecture 9: CODE | Linked List
Lecture 10: Trie
Lecture 11: CODE | Trie
Lecture 12: Hash Table
Lecture 13: CODE | Hash Table
Chapter 4: Problem solving techniques
Lecture 1: Divide and Conquer
Lecture 2: Dynamic Programming
Lecture 3: Greedy approach
Lecture 4: Backtracking
Chapter 5: Complex Problems
Lecture 1: 0-1 Knapsack problem
Lecture 2: Kruskal's algorithm
Instructors
-
Luke's Programming School
Bestselling Instructor with over 150 000 Students
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 1 votes
- 3 stars: 7 votes
- 4 stars: 17 votes
- 5 stars: 11 votes
Frequently Asked Questions
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