Data Communications, Computer Networks and Protocols

• 39 hrs lectures
• 4 hrs exercises
• 2 hrs laboratories
• 26 hrs projects

• 60 pts final exam (oral part)
• 15 pts mid-term test (written part)
• 25 pts projects

Understanding principles and implementation of network algorithms in computer networks. Knowledge of network device architectures. Methods for classification and analysis of network traffic and error detection in computer communication.

Understanding communication principles and implementation in current computer networks.

Understand principles and implementation of network algorithms in computer networks. Become familiar with design of common network devices. Learn advanced methods for classification and analysis of network traffic and error detection in computer communication.

The course prepares students to solve advanced engineering tasks in area of network communication, network applications and infrastructure.

The set theory, graph theory and relations. Fundamentals of communication protocols. Principles of Internet.

• D. Medhi, K. Ramasamy: Network Routing. Algorithms, Protocols, and Architecture. 2nd Edition, Elsevier, 2018.
• George Varghese. Network Algorithmics. Elsevier, Inc., 2005.
• Russ White and Ethan Banks. Computer Networking Problems and Solutions: An innovative approach to building resilient, modern networks. Addison-Wesley Professional, 2017.
• Andrew Tanenbaum and David Wetherall. Computer Networks. Pearson, Global edition, 2021.

• D. Medhi, K. Ramasamy: Network Routing. Algorithms, Protocols, and Architecture. 2nd Edition, Elsevier, 2018.

1. Introduction to networking.
2. Routing theory.
3. Transport layer, flow-control and congestion-control.
4. Switch design.
5. Router design.
6. Packet processing in operating system.
7. Data center. Software Defined Networks.Virtual Network Functions.
8. Peer to peer networks.
9. Packet classification and data filtering.
10. Intrusion detection.
11. Reputation systems.
12. Privacy and anonymity on the Internet.
13. Content delivery networks.

• Advanced network traffic processing.

• Advanced metods for network traffic analysis.

Written mid-term exam and submitting project in due dates.

Mid-term exam, laboratory practice and/or homework supported by project completion, and final exam are the monitored, and points earning education. Mid-term exam and laboratory practice are without correction eventuality. Final exam has two additional correction eventualities. The minimal number of points that can be obtained from the final exam is 25. Otherwise, no points will be assigned to a student.

Requirements for class accreditation are not defined.