| 1. |
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Introduction and probability, Set Theory, Probability axioms (Chapter 1) |
Introduction of this class and basic theorem.
Practice the programming about probability. |
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Sequential elements (Chapter 2) |
Understanding the sequential elements |
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| 2. |
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Sequential elements (Chapter 2) |
Understanding the sequential elements |
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Sequential elements (Chapter 2) |
Understanding the sequential elements |
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Dicrete random variables and PMFs (Chapter 3) |
Study random variables and way to make the PMFs |
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| 3. |
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Dicrete random variables and PMFs (Chapter 3) |
Study random variables and way to make the PMFs |
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Dicrete random variables and PMFs (Chapter 3) |
Study random variables and way to make the PMFs |
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| 4. |
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Families of discrete rvs, functions of random variables (Chapter 3) |
Study Discret rvs and
Functions of random variables |
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Families of discrete rvs, functions of random variables (Chapter 3) |
Study Discret rvs and
Functions of random variables |
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| 5. |
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Expected value, variance, conditional pmfs (Chpater 3) Test #1 |
Understanding Expected value, variance and Conditional pmfs |
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Continuous random variables : pdfs and expected values (Chapter 4) |
Study continuous random variables and waty to make the pdfs |
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| 6. |
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Continuous random variables : pdfs and expected values (Chapter 4) |
Study continuous random variables and waty to make the pdfs |
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Continuous random variables : pdfs and expected values (Chapter 4) |
Study continuous random variables and waty to make the pdfs |
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| 7. |
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Families of continous rvs : exponential & Gaussian (Chapter 4) |
Study families of continuous rvs |
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Families of continous rvs : exponential & Gaussian (Chapter 4) |
Study families of continuous rvs |
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Mixed rvs and conditioning (Chapter 5) |
Study mixed rvs and conditioning |
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| 8. |
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Mixed rvs and conditioning (Chapter 5) |
Study mixed rvs and conditioning |
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Mixed rvs and conditioning (Chapter 5) |
Study mixed rvs and conditioning |
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| 9. |
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Joint PMFs & PDFs (Chapter 5) Test #2 |
Understanding joint PMFs&PDFs |
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Functions of two RVs and correlation, covariance (Chapter 6) |
Understanding two RVs, correlation and covariance |
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| 10. |
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Functions of two RVs and correlation, covariance (Chapter 6) |
Understanding two RVs, correlation and covariance |
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Conditioning, Conditional PDF/PMFs (Chapter 7) |
Study Conditioning and Conditional PDF/PMFs |
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| 11. |
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Conditioning, Conditional PDF/PMFs (Chapter 7) |
Study Conditioning and Conditional PDF/PMFs |
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Conditioning, Conditional PDF/PMFs (Chapter 7) |
Study Conditioning and Conditional PDF/PMFs |
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| 12. |
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Independent RVs and Bivariate Gaussian PDFs (Chapter 7) Test #3 |
Study independent RVs and Bivariate Gaussian PDFs |
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| 13. |
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Random vectors and iid (Chapter 8) |
Understanding Random vectors and iid |
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Moment generating functions (Chapter 9) |
Study characteristic of each moment generating functions |
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| 14. |
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Moment generating functions (Chapter 9) |
Study characteristic of each moment generating functions |
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| 15. |
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Central Limit theorem and its applications (Chapter 9) |
Introduction of central theorem and its apllications |
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대구광역시 동구 동내로 64(동내동 1119) 우)41061
페이스북
트위터
카카오톡
네이버밴드
링크복사
