Lectures

The lectures layout is as follows. Note that some lectures may be split to more than one teaching sessions:

 

Lecture 1: Introduction to WSN and CS-541 course
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Lecture 2: Protocol stacks, and wireless networks prerequisites
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Lecture 3: Signal Sampling for WSN
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Lecture 4:  Data models and data acquisition
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Lecture 5: Network standards for Personal and Body Area networks
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Lecture 6: Radio Duty Cycling for Wireless Sensor Networks
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Lecture 7: Routing for WSN
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Lecture 8: Introduction to WSN programming and Hands-on Sessions
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Lecture 9: Distributed In-Network Processing for WSN
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Lecture 10: Time Series Analysis
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Lecture 11:  Machine Learning in WSN
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Lecture 12: Fundamentals of Deep Neural Networks
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Lecture 13: Localization in WSN
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Lecture 14: Big Sensor Data
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Lecture 15: Class Review