Computer Communications Specialization
Course Features






Computer Communications Specialization
About this Specialization
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.
Applied Learning Project
The assessments covers fundamental computer networking concepts and principles which will guide the learner to apply the networking theory and design principles, verify their understandings, and build a solid foundation for creating innovations in today's Internet. It lays foundations of network architectures, protocol design principles, and TCP/IP programming skills, which are necessary to take more advanced courses in graduate study and/or technical training in the industry. It covers basic networking knowledge and in-depth understanding of the inner-workings of computer networks and their evolution. Communication systems, from simple to asynchronous point-to-point links, to those based on complex network architectures will be assessed.
Instructors
About the instructor

Xiaobo Zhou, Professor of Computer Science, serves as the Interim Dean of College of Engineering and Applied Sciences, University of Colorado, Colorado Springs. He served as the Chair of Department of Computer Science from 2011 to 2016. He directs Distributed, Sustainable, and Cloud Computing Systems (DISCO) Lab. His research lies broadly in computer network systems, more specifically, datacenter cloud computing, BigData parallel and distributed processing, autonomic and sustainable computing, scalable Internet services and architectures, and computer networks and security. His research was supported in part by US National Science Foundation. He was a recipient of NSF CAREER Award 2009, and the University Faculty Award for Excellence in Research 2011.