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| − | =版权申明= | + | = 版权申明 = |
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| − | CC BY-NC-SA | + | CC [https://creativecommons.org/licenses/by-nc-nd/3.0/cn/ BY-NC-ND] |
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| − | =教学团队= | + | = 课程信息 = |
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| − | [[互联网+实验室]]
| + | 课号：01510202 |
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| − | 助教：郑文勋 王晗
| + | 英文：Smart Things and Intelligent Systems |
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| − | =教学背景=
| + | 简写：STIS |
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| − | 随着计算机应用的日益普及和计算机网络的快速发展，互联网+的社会经济浪潮日益显现，以互联网连接的物理硬件系统和以大数据云计算为基础的信息系统，使得具有智能的机器人、自动驾驶的无人机等等智能系统成为新的技术发展浪潮，并催生了“智能硬件”的新生态。
| + | 教学目标：[[智能硬件与智能系统-教学目标]] |
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| − | =课程内容= | + | == 教学团队 == |
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| − | == 云＋端 ==
| + | [[互联网+实验室|智能系统实验室]] ： [[陈震]] |
| | + | [[马晓东]] [[章屹松]] [[郭敏]] [[高英]] [[王浩宇]] |
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| − | ===智能端===
| + | 助教：[[刘昊天]] [[刘桥]] |
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| − | 移动设备：Android / iOS
| + | == 教学资源 == |
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| − | 嵌入式设备：Raspberry Pi 2 / Arduino
| + | <big>'''由清华iCenter [[基础工业训练中心-智能硬件库|智能硬件库]]、[[基础工业训练中心-智能机器人库|智能机器人库]]和[[基础工业训练中心-人工智能平台|人工智能平台]]保障支持'''。 |
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| − | 可穿戴式硬件：手环 / Apple Watch
| + | = 课程教学 = |
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| − | ===嵌入式开发平台=== | + | == 教学计划 == |
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| − | ====NVIDIA JETSON TK1====
| + | [[智能硬件与智能系统-教学计划]] |
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| − | [http://www.nvidia.cn/object/jetson-tk1-embedded-dev-kit-cn.html Jetson TK1] | + | 以往教学： [[智能硬件与智能系统-以往教学]] |
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| − | ====Raspberry Pi==== | + | == 教学管理 == |
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| − | [https://www.raspberrypi.org Raspberry Pi] | + | [[智能硬件与智能系统-学生分组]] |
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| − | ===云计算与大数据=== | + | = 参考资料 = |
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| − | ====数据中心====
| + | [[智能硬件-参考文献 | 参考文献]] |
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| − | Google公司拥有分布全球的十几个数据中心，上百万台机器的集群计算，具体数目是保密数字
| + | [[智能硬件-参考课程 | 参考课程]] |
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| − | # L.A. Barroso, J. Clidaras, and U. Holzle, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, 2nd ed., 2013.
| + | = 致谢 = |
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| − | ====云计算平台====
| + | [[致谢-微软公司]] |
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| − | [http://cloud.icenter.tsinghua.edu.cn iCenter-Cloud] | + | [[致谢-声智科技]] |
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| − | [http://portal.azure.com Azure] | + | [[致谢-Momenta]] |
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| − | # Fox, Armando, et al. "Above the clouds: A Berkeley view of cloud computing." Dept. Electrical Eng. and Comput. Sciences, University of California, Berkeley, Rep. UCB/EECS 28 (2009): 13.
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| − | ====大数据平台====
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| − | # Jeffrey Dean and Sanjay Ghemawat, MapReduce: Simplified Data Processing on Large Clusters, OSDI 2004.
| + | |
| − | # Chang F, Dean J, Ghemawat S, et al. Bigtable: A distributed storage system for structured data. OSDI 2006.
| + | |
| − | # Yang, Fangjin, et al. "Druid: a real-time analytical data store." ACM sigmod, 2014.
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| − | ==智能系统==
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| − | | + | |
| − | [[大数据智能]] | + | |
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| − | =项目分组=
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| − | [[智能硬件-学生分组]]
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| − | | + | |
| − | =课程研究=
| + | |
| − | | + | |
| − | [[智能硬件-课程研究]]
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| − | | + | |
| − | =课程项目=
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| − | | + | |
| − | [[智能硬件-课程项目]]
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| − | | + | |
| − | =致谢=
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| − | | + | |
| − | 本课程获得微软Azure云计算与机器学习捐赠支持。
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| − | 感谢微软公司 杨滔经理，章艳经理，刘士君工程师，闫伟工程师。
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| − | =参考文献=
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| − | | + | |
| − | # Stuart Russell and Peter Norvig, Artificial Intelligence: A modern approach. Prentice-Hall, 2005.
| + | |
| − | # Ferrucci, David A. "Introduction to “this is watson”." IBM Journal of Research and Development 56.3.4 (2012): 1-1.
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| − | # Bradski, Gary, and Adrian Kaehler. Learning OpenCV: Computer vision with the OpenCV library. O'Reilly Media, Inc., 2008.
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| − | # Hauswald, Johann, et al. "Sirius: An open end-to-end voice and vision personal assistant and its implications for future warehouse scale computers." ASPLOS, ACM, 2015.
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| − | # Spectrogram, https://en.wikipedia.org/wiki/Spectrogram
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| − | # TensorFlow, https://www.tensorflow.org
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