Difference between revisions of "Resource:Courses"

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==== [[Course:Advanced_Network_Computing|Advanced Network Computing]] ====
==== [[Course:Advanced_Network_Computing|Advanced Network Computing (Graduates)]] ====
This course will introduce recent advances in network computing.  
This course will introduce recent advances in network computing.  
Specifically, it contains four sections: SDN/NFV, Edge Computing, IoT, and Network Big Data.  
Specifically, it contains four sections: SDN/NFV, Edge Computing, IoT, and Network Big Data.  
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* 《科技论文规范写作与编辑》,梁福军,清华大学出版社
* 《科技论文规范写作与编辑》,梁福军,清华大学出版社
* 《学术规范导论》,杨玉圣,高等教育出版社
* 《学术规范导论》,杨玉圣,高等教育出版社
====[https://mns.uestc.cn/course/ranc/ Network Computing (PhD)]====
====[https://mns.uestc.cn/ Computer Networks (Undergraduates)]====
====[https://mns.uestc.cn/course/netai/ AI Meets Network]====

Latest revision as of 11:46, 14 September 2024

Advanced Network Computing (Graduates)

This course will introduce recent advances in network computing. Specifically, it contains four sections: SDN/NFV, Edge Computing, IoT, and Network Big Data. In SDN/NFV, we mainly talk about two topics: Consistent update, traffic engineering and VNF embedding. In Edge Computing, we mainly talk about the topics of deployment and task offloading. In Internet-of-Things, we mainly talk about the topics of low-power protocols, long-range IoT and IoT applications/systems. In Network Big Data, we mainly talk about the topics of wireless sensing and various applications based on smartphone big data.

Anc bg img.png

Reference books:

  • Software Defined Networks: A Comprehensive Approach, 2014
  • Network Function Virtualization: Ken Gray, Thomas D. Nadeau, 2016
  • Big Data and The Internet of Things, 2015
  • Edge Computing: From Hype to Reality, 2019

学术论文写作 (Academic Writing)

这是一门介绍科研,科研入门,及学术 课程主要内容涉及学术创新、学术规范与论文写作。 其中学术创新部分,重点针对本科生群体介绍何谓创新、科研工作的特点、读研相关内容、学术论文的写作技巧与规范。

参考书目:

  • 《学术研究-你的成功之道》,凌晓峰,杨强等,清华大学出版社
  • 《科技论文规范写作与编辑》,梁福军,清华大学出版社
  • 《学术规范导论》,杨玉圣,高等教育出版社

Network Computing (PhD)

Computer Networks (Undergraduates)

AI Meets Network