Learning data structures and algorithms with C++

Name: Learning data structures and algorithms with C++
Rating: 4.5 (34 reviews)

This is a course where you can study data structures and algorithms along with the object-oriented language C++.

(4.5) 34 reviews

8,648 learners

Level Basic

Course period Unlimited

usefulit

C++

Reviews from Early Learners

4.5

5.0

Jin

8% enrolled

This is the best course that makes it easy to understand how data structures work with pictures, diagrams, and detailed explanations.

5.0

Jang Jaehoon

5% enrolled

Thank you for the great lecture!

5.0

scw3315

100% enrolled

It was beneficial.

1. Course Introduction

"Learning Data Structures and Algorithms with C++" is a course by Jaegyu Lee, aka Jake Lee on YouTube. This course covers both object-oriented C++ and algorithms. By learning both C++ as a tool for implementing code and the algorithms themselves, you can achieve both efficiency and a sense of accomplishment. With over 240 lectures, this extensive course provides a thorough study of the C++ language, helping you gain a deeper understanding of data structures and algorithms. This course is especially helpful for non-computer science developers who rarely have the opportunity to systematically learn algorithmic thinking.

While this course is quite old, using Visual C++ 6.0 as the compiler, I believe it's a very good course for learning C++ and algorithms, the foundation of computer science. Additional information can be found on Jaegyu Lee's blog .

2. Helpful people

Anyone who wants to learn about algorithms and data structures
For those who want to learn C++
Non-major developer

3. Course Features

Technologies covered: C++, algorithms, data structures
PC

*The lectures are long, so it's taking time to organize them. I'll finish uploading the second half soon.

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Learners

6,635

Reviews

4.6

Rating

336

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Curriculum

All

243 lectures ∙ (49hr 46min)

Section 1. Orientation

1 lectures ∙ (11min)

1. Learning data structures and algorithms with C++
11:22

Section 2. Chapter 1 - Algorithm Concepts

5 lectures ∙ (1hr 26min)

2. Algorithm Overview
20:53
3. Analysis of the algorithm
24:11
4. Euclidean algorithm
24:33
5. prime number algorithm
15:27
6. Chapter 1 End
01:52

Section 3. Chapter 2 - Let's learn C++

5 lectures ∙ (1hr 24min)

7. Getting started with the C++ language overview
01:50
8. C++ History and Overview
20:55
9. C++ as an extension of the C language
32:29
10. C++ as an object-oriented language
27:24
11. C++ Language Conclusion
02:16

Section 4. Chapter 3 - String Class

6 lectures ∙ (1hr 31min)

Section 5. Chapter 4 - Arrays and Mazes

7 lectures ∙ (1hr 12min)

Section 6. Chapter 5 - Linked Lists

7 lectures ∙ (1hr 32min)

Section 7. Chapter 6 - Stacks and Queues

9 lectures ∙ (1hr 40min)

Section 8. Chapter 7 - Tree

8 lectures ∙ (1hr 32min)

Section 9. Chapter 8 - Recursive Calls

8 lectures ∙ (1hr 30min)

Section 10. Chapter 9 - Sorting

7 lectures ∙ (1hr 49min)

Section 11. Chapter 10 - Quick Sort

9 lectures ∙ (1hr 36min)

Section 12. Chapter 11 - Sort

9 lectures ∙ (1hr 15min)

Section 13. Chapter 12 - Array

9 lectures ∙ (1hr 13min)

Section 14. Chapter 13 - Radix Sort

10 lectures ∙ (1hr 49min)

Section 15. Chapter 14 - Search

10 lectures ∙ (2hr 21min)

Section 16. Chapter 15 - Binary Tree Search

9 lectures ∙ (1hr 55min)

Section 17. Chapter 16 - Hash

9 lectures ∙ (1hr 17min)

Section 18. Chapter 17 - Radix Search

9 lectures ∙ (1hr 28min)

Section 19. Chapter 18 - B-Tree Search

8 lectures ∙ (1hr 39min)

Section 20. Chapter 19 - Red-Black Tree

9 lectures ∙ (2hr 15min)

Section 21. Chapter 20 - Graph Basics

8 lectures ∙ (1hr 40min)

Section 22. Chapter 21 - Weighted Graphs

8 lectures ∙ (2hr 10min)

Section 23. Chapter 22 - Directed Graphs

8 lectures ∙ (1hr 53min)

Section 24. Chapter 23 - Polynomials

8 lectures ∙ (1hr 30min)

Section 25. Chapter 24 - Matrix

8 lectures ∙ (1hr 53min)

Section 26. Chapter 25 - Finding Roots of Equations

8 lectures ∙ (1hr 7min)

Section 27. Chapter 26 - Numerical Calculus

8 lectures ∙ (1hr 37min)

Section 28. Chapter 27 - Regression and Splines

9 lectures ∙ (1hr 44min)

Section 29. Chapter 28 - Algorithm Development Methodology 1

8 lectures ∙ (2hr 5min)

Section 30. Chapter 29 - Algorithm Development Methodology 2

8 lectures ∙ (1hr 32min)

Section 31. Automata and XML Parsers

8 lectures ∙ (1hr 45min)

Published: 01/11/2016

Last updated: 01/08/2018

Reviews

All

34 reviews

4.5

34 reviews

sosilion9070
Reviews 8
∙
Average Rating 3.8
12/14/2019
5
8% enrolled
This is the best course that makes it easy to understand how data structures work with pictures, diagrams, and detailed explanations.
lup32381109
Reviews 2
∙
Average Rating 2.5
04/05/2019
3
1% enrolled
It's a free lecture... Thank you for giving me a free lecture, but... I'm not very good at speaking and I often end up not speaking.
hudevelop
Reviews 5
∙
Average Rating 4.6
05/16/2021
4
68% enrolled
When you first listen to and study, it is difficult to understand the lectures by just going through them. If you do not understand anything while listening to the lectures, it will be easier to listen to the lectures if you review the previous content.
sunbbangwins
Reviews 4
∙
Average Rating 4.0
07/31/2020
1
7% enrolled
It seems like a really really old lecture.. I understood up to PPT, but I was surprised when I saw the explanation while running Visual Studioㅠ Wow, it seemed like there would be spider webs, so I gave up halfway through because I thought I would never be able to finish it.. Even if I posted it on QnA, there was no answer, and I think it is not managed or updated at all. The part that I don't understand is that it seems like you directly code the string object and explain the functions of those functions, but the code is very fast and shown intermittently, so it is very ambiguous.. I went to the instructor's blog to see the code, and I posted a question on the bulletin board, but I couldn't find it, so I think the lecture materials are very poorㅠ If you finish it, your opinion about the lecture may change..? If you can handle the really..old.. lecture, unfriendly lecture materials, and the question bulletin board without answers, I recommend you take it.
dh63497815
Reviews 1
∙
Average Rating 1.0
10/10/2019
1
100% enrolled
Just...yes....

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3. Course Features

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