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수학으로부터 인류를 자유롭게 하라(미적분학 Part.I) - 미분

Name: 수학으로부터 인류를 자유롭게 하라(미적분학 Part.I) - 미분
Price: 38500 KRW

함수의 극한, 도함수, 미분법, 도함수 공식, 미분의 활용

(5.0) 수강평 7개

수강생 247명

공대형아(신경식)

미적분

입문자를 위해 준비한
[수학] 강의입니다.

이런 걸 배울 수 있어요

미적분학
미분법

수학은 당신을 포기하지 않아요.
그러니까 당신도 포기하지 마세요.

수학으로부터 인류를 자유롭게 하라 😎

수학을 사용하는 모든 분이 제대로 수학을 배웠으면 합니다. <수학으로부터 인류를 자유롭게 하라> 프로젝트에서는 수학의 모든 과목을 하나씩 전문적으로 배워나갑니다. 대학교에서 배우는 것보다 더 깊이 있게, 더 많은 연습을 하며 수학의 귀신으로 만들어 드립니다.

이번 강의에서는 수학이 사용되는 모든 과목, 분야에 필수적인 과목인 미분을 다룰 예정입니다.

📢 수강 전 확인해주세요!

본 강의는 연재식 강의로, 5월 29일까지 지속적인 강의 업로드가 진행될 예정입니다.

이 강의만의 특장점 🔆

1) 모든 도함수의 유도
미분을 충분히 연습하기 위해 공학에서 자주 사용되는 모든 함수의 도함수를 직접 유도해봅니다.

2) 연습문제 풀이
직접 준비한 다양한 연습문제를 직접 풀이해봅니다.

이런 걸 배워요 📚

우리는 미분을 확실히 배우기 위해 다음과 같이 8개의 챕터를 배웁니다.

참고 도서 📖

이런 분들께
추천드려요!

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기초대수학편 수강생

안녕하세요
공대형아(신경식)입니다.

2,598

명

수강생

개

수강평

개

답변

5.0

점

강의 평점

개

강의

강의 이력

[멋쟁이 사자처럼] 인공지능중고급과정
[국립기상과학원] 2022, 2023년 기상 AI 부트캠퍼
[삼성전기] 신입SW과정 전문반
[국가과학기술인력개발원] R&D 수행 역량 강화 장기 멘토링
[원광대학교] 원광대학교 AI 집체교육 및 AI 장단기과정
[한국지능정보사회진흥원] SW여성인재 교육
[SK m&service] 데이터 기반 의사결정
[한국IT비즈니스진흥협회] ICT COG Academy
[패스트캠퍼스] 수학적으로 접근하는 딥러닝 강사
[패스트캠퍼스] 한 번에 끝내는 머신러닝과 데이터분석 A-Z
[패스트캠퍼스] 바이트 디그리 Lv.2 Deep Learning Essentials
[패스트캠퍼스] 딥러닝인공지능 초격차
[패스트캠퍼스] 컴퓨터 공학 초격차 VER.2

커리큘럼

전체

79개 ∙ (16시간 44분)

해당 강의에서 제공:

수업자료

섹션 1. Orientation

1개 ∙ (5분)

1. Orientation
05:55

섹션 2. Limits and Continuity

7개 ∙ (1시간 36분)

2. Limits
13:38
3. One-sided Limits
14:45
4. The Limit Laws
15:16
5. The Limits of Polynomials and Rational Functions
09:34
6. Eliminating Common Factors
16:56
7. Infinite Limits
13:55
8. Limits at Infinity
12:37

섹션 3. Calculating Limits

8개 ∙ (1시간 40분)

9. inf/inf Case.1
14:02
10. inf/inf Case2, 3
13:57
11. Limits of Special Cases
13:23
12. Limits of Composite Functions
17:28
13. Composite of 1/x Case
09:41
14. The Natural Constant e from Limit
10:04
15. Caste System in Math
09:36
16. Important Formulas
11:58

섹션 4. Continuity

6개 ∙ (1시간 28분)

섹션 5. Differentiation and Derivatives

12개 ∙ (2시간 36분)

섹션 6. Techniques of Differentiation

13개 ∙ (2시간 55분)

섹션 7. The Derivatives of the Inverse Trigonometric Functions

9개 ∙ (1시간 55분)

섹션 8. Curve Sketching

10개 ∙ (2시간 0분)

섹션 9. Applications of Differentiation(1)

6개 ∙ (1시간 9분)

섹션 10. Applications of Differentiation(2)

7개 ∙ (1시간 15분)

강의 게시일: 2022. 05. 17.

마지막 업데이트일: 2025. 05. 13.

수강평

전체

7개

5.0

7개의 수강평

dongjoo2350
수강평 1
∙
평균 평점 5.0
2024. 11. 09.
5
100% 수강 후 작성
Hello. I was a dropout, but I am currently working as an ML developer. I felt that I needed math to do well in AI. While I was thinking about whether I should buy and solve the special lecture for the college entrance exam again, I came across Professor Shin Kyung-sik's "Basic Algebra" lecture. It was easy to build up the overall foundation, and it was also easy to review only the necessary parts. The best part was that it was really easy to understand because it was likened to computer engineering. Of course, there were many parts that took a long time to understand. Next, I found out that he also produced a calculus lecture, so I bought it right away. As expected, it was good that he explained it in an easy-to-understand way, and he divided the chapters by concept, so it was good to study briefly during my commute to and from work. I was confused because the lecture materials were in English. However, when developing, you have to use a lot of English, and to use ML, you have to look up a lot of papers. Since he used English, I could immediately tell that "That's what I saw in the lecture" especially when understanding ML methods and papers. I thought it was a good decision to buy the lecture, and I bought the linear algebra lecture right away. Looking at Professor Shin Kyung-sik's profile, there are no lectures on integration and statistics yet. If you make one, I will buy it right away. He also uploaded a lecture on signal processing on YouTube, which was very helpful. I am also looking forward to the NumPy lecture that will be released soon.
- asdfghjkl13551941
  지식공유자
  2024. 11. 18.
  Hello! I'm really glad that the lecture was helpful! It's not easy, but I think it's really great that you chose to walk the path! I will try to provide other math lectures with good quality as soon as possible in the future😃
airjoy2460
수강평 18
∙
평균 평점 5.0
2022. 06. 11.
5
100% 수강 후 작성
This is a lecture that encourages those who have given up on the test to try again.
wildlinekim9846
수강평 1
∙
평균 평점 5.0
2024. 05. 02.
5
100% 수강 후 작성
I enjoyed the lecture. I am also waiting for integrals, linear algebra, and statistics. ^^
technet72974014
수강평 2
∙
평균 평점 5.0
2024. 01. 07.
5
30% 수강 후 작성
It's been a while since I've listened to a proper math differential lecture. Thank you. I know you're busy, but if you make linear algebra, statistics, etc. in the future, I'll promote it to people around me and listen to it more diligently.
- asdfghjkl13551941
  지식공유자
  2024. 01. 08.
  Thank you for your positive feedback on the lecture😃 We are currently preparing linear algebra and statistics lectures, so we will come back with better lectures!
thestand92447
수강평 16
∙
평균 평점 5.0
2024. 01. 11.
5
99% 수강 후 작성
It was a great help that you explained it step by step in an easy way. Could you tell me a rough schedule of when the integral part and linear algebra lectures will open?
- asdfghjkl13551941
  지식공유자
  2024. 01. 11.
  Hello! Thank you for liking the lecture. Linear algebra is currently being recorded. However, since the lecture is long, it is expected to take about a month. Integral will be prepared after the linear algebra and probability lectures are finished~

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