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聽expierienced null pointer exception聽or something like that. These errors are not created by “not knowing the programming language” but they are created because the algorithm聽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聽to better algorithms and better analythic thinking.

In this course I will go through Software engineering聽( algorithms and data structures, problem solving)锟?/p>

In Sorting Algorithms section you will learn:

1. Selection Sort
2. Bubble Sort
3. Recursion
4. Merge Sort
5. Quick Sort

In Data Structures section you will learn:

1. What is Data Structure
2. Binary Search Tree
3. AVL tree
4. Linked List
5. Trie
6. Hash Table

In Problem Solving section you will learn:

1. Divide and Conquer
2. Dynamic聽 programming
3. Greedy Aproach
4. Backtracking

And I will explin these techniques on:

1. 0-1 Knapsack problem
2. Kruskal’s algorithms

So do you want to learn software engineering ?

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Say Hello 馃檪

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: Kruskals algorithm

Instructors

Lukes 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

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