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Theory and Application of Network Coding

Center for Science of Information NSF STC via YouTube

Overview

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Explore the fundamentals and advanced applications of network coding in this comprehensive short course delivered across nine sessions. Gain deep knowledge of this rapidly evolving field that bridges multiple areas of information science, including complexity theory, graph theory, matroid theory, coding theory, and information theory. Master the basic concepts and theories of network coding while discovering solutions for a broad range of network coding problems. Examine potential applications in wireless networks and network storage systems, with emphasis on how network coding can improve performance, reliability, and security of communication networks. Survey years of intensive research discoveries and insights while discussing open problems and exciting opportunities in wireless coding research. Learn to apply wireless network coding techniques across various practical domains, making this course valuable for both theoretical understanding and real-world implementation. While probability theory background is recommended and information theory knowledge is helpful, no prior background in information theory or coding theory is assumed, making the content accessible to learners with basic mathematical foundations.

Syllabus

Network Coding Session 1, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 2, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 3, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 4, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 5, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 6, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 7, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 8, by Dr. Alex Sprintson (Texas A&M)
Network Coding Session 9, by Dr. Alex Sprintson (Texas A&M)

Taught by

Center for Science of Information NSF STC

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