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Applied Probability Theory

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    • Category : Natural Sciences > Math
    • Keyword : Random Variable Applied Probabilit Theory Conditional Probabilities Discrete MGF
    • Taught by : Giheon Choi
    • Created By : Duksung Women's University
    • Offered By : KOCW
    • Date Added : 2016.12.26

    This course is intented as an introduction to elementary probability theoryIt is particularly well suited for those wanting to see how probability theory can be applied to study of phenomena in fields such as engineeringcomputer sciencemanagement sciencethe physical and social science and operations research.

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Number of lessons: 14 facebook twitter line whatsapp kakaotalk

차시별 강의
No Contents Type & Play Subject Description URL
1. Type docunent Subject Description
  • This note identifies principles of sample space and events
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2. Type docunent Subject Description
  • This note identifies principles of conditional probabilities and independent events
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3. Type docunent Subject Description
  • This note identifies principles of Bayes' theorem
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4. Type docunent Subject Description
  • This note identifies principles of random variables
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5. Type docunent Subject Description
  • This note identifies principles of discrete random variables
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6. Type docunent Subject Description
  • This note identifies principles of continuous random variables
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7. Type docunent Subject Description
  • This note identifies principles of continuous random variables
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8. Type docunent Subject Description
  • This is the mid exam quiz
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9. Type docunent Subject Description
  • This note identifies principles of Some special distributions
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10. Type docunent Subject Description
  • This note identifies principles of expectation
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11. Type docunent Subject Description
  • This note identifies principles of joint distributed random variables
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12. Type docunent Subject Description
  • This note identifies principles of Moment generating function technique
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13. Type docunent Subject Description
  • This note identifies principles of probability inequality
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14. Type docunent Subject Description
  • This is the mid exam quiz II
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