응용확률론
- 덕성여자대학교
- 최기헌
페이스북
트위터
카카오톡
네이버밴드
링크복사
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- 주제분류
- 자연과학 >수학ㆍ물리ㆍ천문ㆍ지리 >통계학
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- 강의학기
- 2011년 1학기
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- 조회수
- 5,538
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- 강의계획서
- 강의계획서
This course is intented as an introduction to elementary probability theory. It is particularly well suited for those wanting to see how probability theory can be applied to study of phenomena in fields such as engineering, computer science, management science, the physical and social science and operations research.
차시별 강의
| 1. | |
sample space and events | sample space and events |  |
| 2. | |
conditional probabilities and independent events | conditional probabilities and independent events | |
| 3. | |
Bayes' theorem | Bayes' theorem | |
| 4. | |
random variables | random variables | |
| 5. | |
discrete random variables | discrete random variables | |
| 6. | |
continuous random variables | continuous random variables | |
| 7. | |
continuous random variables | continuous random variables | |
| 8. | |
mid exam | mid exam | |
| 9. | |
Some special distributions | Some special distributions | |
| 10. | |
expectation | expectation | |
| 11. | |
joint distributed random variables | joint distributed random variables | |
| 12. | |
Moment generating function technique | Moment generating function technique | |
| 13. | |
probability inequality | probability inequality | |
| 14. | Limiting theorem | Limiting theorem | ||
| 15. | |
presentation | presentation | |
연관 자료
