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자연과학 >수학ㆍ물리ㆍ천문ㆍ지리 >수학
• 강의학기
2017년 1학기
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14,019
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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 #### 연관 자료 #### 사용자 의견 wkrkd95 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.
lso7150 2018-06-21 17:14
혹시 강의자료도 올려주실수 있는지 궁금합니다.

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※ 강의별로 교수님의 사정에 따라 전체 차시 중 일부 차시만 공개되는 경우가 있으니 양해 부탁드립니다.