확률과정 - 경북대학교 | KOCW 공개 강의

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확률과정

경북대학교
최영숙

페이스북 트위터 카카오톡 네이버밴드 링크복사

주제분류

자연과학 >수학ㆍ물리ㆍ천문ㆍ지리 >수학
강의학기

2017년 1학기

조회수

14,805
평점

5/5.0 (4)

강의계획서

We study the basic concepts of probability theory, random variables, the distribution of random variables and random processes. Applications of probability and random processes are also treated. Therefore the goal of this course should be to teach the basic probability concepts and a faculty in the use of probability tools for analysing the complexity of the systems encountered in engineering practice statistically and applying the results effectively.

차시별 강의

1.		1. Probability Models in Electrical and Computer Engineering	1. Probability Models in Electrical and Computer Engineering
2.		2. Specify Random Experiments, The Axioms of Probability	2. Specify Random Experiments, The Axioms of Probability
3.		3. Conditional Probability, Independence of Events, Sequential Experiments	3. Conditional Probability, Independence of Events, Sequential Experiments
		4. Conditional Probability, Independence of Events, Sequential Experiments	4. Conditional Probability, Independence of Events, Sequential Experiments
		5. Conditional Probability, Independence of Events, Sequential Experiments	5. Conditional Probability, Independence of Events, Sequential Experiments
		6. Conditional Probability, Independence of Events, Sequential Experiments	6. Conditional Probability, Independence of Events, Sequential Experiments
		7. Conditional Probability, Independence of Events, Sequential Experiments	7. Conditional Probability, Independence of Events, Sequential Experiments
		8. Conditional Probability, Independence of Events, Sequential Experiments	8. Conditional Probability, Independence of Events, Sequential Experiments
4.		9. Cumulative Distribution Function , Probability Density Function	9. Cumulative Distribution Function , Probability Density Function
		10. Cumulative Distribution Function , Probability Density Function	10. Cumulative Distribution Function , Probability Density Function
		11. Cumulative Distribution Function , Probability Density Function	11. Cumulative Distribution Function , Probability Density Function
5.		12. Function of Random Variable, The Expected Value of Random Variables	12. Function of Random Variable, The Expected Value of Random Variables
6.		13. The Markov and Chebyshev Inequalities Multiple Random Variables	13. The Markov and Chebyshev Inequalities Multiple Random Variables
7.		14. Joint cdf	14. Joint cdf
		15. The joint cdf, The joint pdf	15. The joint cdf, The joint pdf
8.		16. Joint pdf of two continuous random variables	16. Joint pdf of two continuous random variables
9.		17. Independence od two random variables	17. Independence od two random variables
10.		18. Expected value of a function of two random variables	18. Expected value of a function of two random variables
11.		19. Function of two random variables	19. Function of two random variables
		20. Function of two random variables	20. Function of two random variables
		21. Function of two random variables	21. Function of two random variables
12.		22. Random process	22. Random process
13.		23. Specifying a Random Process	23. Specifying a Random Process

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wk***** 2020-03-23 02:34: 그저 빛..

운영자2018-06-22 09:26: KOCW입니다. KOCW를 통한 강의자료 제공은 어렵다는 경북대학교의 답변을 받았습니다. 양해 부탁드립니다.

운영자2018-06-21 17:21: KOCW입니다. 강의자료에 대해 경북대학교로 문의하였습니다. 답변이 오는대로 안내 드리도록 하겠습니다.

ls***** 2018-06-21 17:14: 혹시 강의자료도 올려주실수 있는지 궁금합니다.

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