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課程名稱 |
網路科學
Network Science |
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開課學期 |
105-2 |
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授課對象 |
電機資訊學院 電信工程學研究所 |
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授課教師 |
謝宏昀 |
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課號 |
CommE5042 |
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課程識別碼 |
942 U0560 |
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班次 |
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學分 |
3.0 |
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全/半年 |
半年 |
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必/選修 |
選修 |
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上課時間 |
星期二7,8,9(14:20~17:20) |
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上課地點 |
博理103 |
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備註 |
總人數上限：30人 |
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Ceiba 課程網頁 |
http://ceiba.ntu.edu.tw/1052netscience |
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課程簡介影片 |
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核心能力關聯 |
核心能力與課程規劃關聯圖 |
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課程大綱
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課程概述 |
1. Introduction
2. Fundamentals of Network Theory
3. Network Models
4. Processes on Networks
5. Miscellaneous Topics |
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課程目標 |
The scientific study of networks, including computer networks, social networks, and biological networks, has received an enormous amount of interest in the last few years. The rise of the Internet has made it possible to gather and analyze network data on a large scale, and the development of a variety of new theoretical tools has allowed us to extract new knowledge from many different kinds of networks. This multi-disciplinary course intends to investigate fundamental knowledge and applications of network science. |
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課程要求 |
1. Probability and Statistics
2. Discrete Mathematics |
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預期每週課後學習時數 |
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Office Hours |
另約時間 |
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指定閱讀 |
Mark Newman, "Networks: An Introduction," Oxford University Press, 2010.
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參考書目 |
Albert-Laszlo Barabasi, "Network Science," Cambridge University Press, 2016. |
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評量方式
(僅供參考) |
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No. |
項目 |
百分比 |
說明 |
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1. |
作業 |
40% |
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2. |
期末專題 |
40% |
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3. |
課堂參與 |
20% |
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週次 |
日期 |
單元主題 |
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第01週 |
2/21 |
Introduction |
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第03週 |
3/07 |
Graph and Math of Networks |
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第04週 |
3/14 |
Measures and Metrics of Networks |
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第05週 |
3/21 |
Measures and Metrics of Networks (cont.) |
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第06週 |
3/28 |
Community Detection |
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第08週 |
4/11 |
Random Graphs |
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第09週 |
4/18 |
Random Graphs with General Degree Distributions |
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第10週 |
4/25 |
Random Graphs with General Degree Distributions (cont.) |
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第11週 |
5/02 |
Percolation |
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第12週 |
5/09 |
Epidemics on Networks |
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第13週 |
5/16 |
Epidemics on Networks (cont.) |
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第16週 |
6/06 |
Project Progress Report |
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第17週 |
6/13 |
Models of Network Formation |
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