Networks at the Convergence of IT, NT, BT
- 포항공과대학교
- 헥터 에드워도 로만
페이스북
트위터
카카오톡
네이버밴드
링크복사
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- 주제분류
- 의약학 >의료 >의학
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- 강의학기
- 2012년 1학기
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- 조회수
- 4,144
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Present a broad view of different network structures playing a role in computer, biological and physical sciences and engineering. Learning new advanced statistical methods for characterizing and predicting the behavior of such complex systems.
- 수강안내 및 수강신청
- ※ 수강확인증 발급을 위해서는 수강신청이 필요합니다
Lecture 1
차시별 강의
| 1. | |
Lecture 1 | 1. Objectives 2. Complex architecture 3. Social Networks 4. Introduction of Mobility Aware Reconstruction in Wireless Sensor Networks |
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| 2. | |
Lecture 1 | 1. Ant navigaion paths in the search of food | |
| 3. | |
Lecture 1 | 1. Exercises and Solutions | |
| 4. | |
Lecture 3 | 1. Connectivity Matrix 2. Rings |
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| 5. | |
Lecture 4 | 1. Random Graphs | |
| 6. | |
Lecture 6 | 1. Scaling behavior 2. Small World 3. Transition to random graphs 4. Linear graphs |
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| 7. | |
Lecture 1 | 1. Not realistic : intersections are allowed 2. More realistic model |
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| 8. | |
Lecture 9 | 1. Linear graphs and natural proteins 2. Examples 3. Mean node degree |
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| 9. | |
Lecture 11 | 1. Mean node degree 2. Sequence design |
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| 10. | |
Lecture 12 | 1. Eulers Relationship 2. Average node degree |
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| 11. | |
Lecture 12 | 1. Trees 2, Random tree 3. River basins |
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| 12. | |
Lecture 16 | 1. Minimal Spanning Tree | |
| 13. | |
Lecture 16Lecture 17 | 1. Self-similar network | |
| 14. | |
Lecture 18 | 1. Scale-free Networks 2. Nodes distribution on the plane |
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