ELEC1200.1x: A System View of Communications: From Signals to Packets (Part 1)

HKUSTx

This introductory course discusses tradeoffs in designing communication systems like mobile phones, and the engineering tools to handle them

About this Course

Have you ever wondered how information is transmitted using your mobile phone or a WiFi hotspot? This introductory course seeks to enable you to understand the basic engineering tools used and tradeoffs encountered in the design of these systems.

This course is divided into three parts. In Part 1, we examine the point-to-point link, which communicates information from a single transmitter to a single receiver. Part 2 examines how multiple transmitters can share the same physical channel. Part 3 discusses how information can be transmitted reliably from one station to another over a network that connects multiple stations. Online interactive exercises are included to help build your intuition.

This course was inspired by and built upon the course 6.02 Digital Communication Systems developed at MIT, which Prof Bertram Shi worked on during his sabbatical in 2009.

Course Staff

  • Bertram Shi

    Bertram E. Shi received the B.S. and M.S. degrees in electrical engineering from Stanford University in 1987 and 1988. He received the Ph.D. degree in electrical engineering from the University of California in 1994. He then joined HKUST, where he is currently a Professor in the Department of Electronic and Computer Engineering and the Division of Biomedical Engineering. His research interests are in bio-inspired signal processing and robotics, neuromorphic engineering, computational neuroscience, machine vision, image processing, and machine learning. Prof. Shi is an IEEE Fellow and has twice served as Distinguished Lecturer for the IEEE Circuits and Systems Society. He is an Associate Editor for the IEEE Transactions on Biomedical Circuits and Systems and Frontiers in Neuromorphic Engineering.

  • Shenghui Song

    Shenghui Song joined HKUST in 2009, where he is currently an Assistant Professor of Engineering Education at the Department of Electronic and Computer Engineering. His research is primarily in the areas of channel modeling, capacity analysis, and diversity reception over fading channels with current focus on HetNets, Cooperative Communications, Interference Management, and Cognitive Radio Networks. Dr. Song is also interested in the research on Engineering Education and is now serving as an Associate Editor for the IEEE Transactions on Education. He has won several teaching awards including the Best Ten Lecturers, the School of Engineering Distinguished Teaching Award, and the Teachers I Like Award.

Dates:
  • 23 September 2014, 7 weeks
Course properties:
  • Free:
  • Paid:
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  • MOOC:
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  • Language: English Gb

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