In this course, we give an in-depth study of the TCP/IP protocols. We examine the details of how IP enables communications across a collection of networks. We pay particular attention to the hierarchical structure of IP addresses and explain their role in ensuring scalability of the Internet. The role of address prefixes and the uses of masks are explained in details. We review in details about TCP three-way handshake, flow control, and congestion control. Furthermore, we provide an introduction to some advanced topics, including Multicast, SDN and security
University of Colorado System
The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond.
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TCP/IP AND ADVANCED TOPICS からの人気レビュー
The topic is quite interesting. But speech and slides should have been prepared more accurately. There are some mistakes. I suggest everyone to turn the subtitles on even your English is good.
Good course but sometimes the instructor's accent was hard to decode and the subtitles weren't correct all the time and I had to work a little to understand. But the topics covered are nice.
The course is delivered very clearly and all can understand and i have understood almost all the topics covered. and the quiz will help you to remember what you have learnt soo far
Exceptional course delivery by professor and some useful content i have found thanks for the opportunity created by Coursera and team Colorado university
This specialization is developed for seniors and fresh graduate students to understand fundamental network architecture concepts and their impacts on cyber security, to develop skills and techniques required for network protocol design, and prepare for a future of constant change through exposure to network design alternatives. Students will require a prior knowledge of C programming, an understanding of math probability and a computer science background is a plus.