Course details

Data Communications, Computer Networks and Protocols

PDS Acad. year 2020/2021 Summer semester 5 credits

Transport protocols. Routing algorithms. Design of switches and routers. Packet processing in the operating system. IP address lookup. Packet flitering and classification. Network traffic identification. Detection of network incidents. Privacy in computer networks. Concepts of P2P, CDN and SDN networks.


Deputy Guarantor

Language of instruction



Examination (oral)

Time span

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

Assessment points

60 exam, 15 mid-term test, 25 projects




Subject specific learning outcomes and competences

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. Principles of P2P, CDN and SDN networks.

Generic learning outcomes and competences

Understanding communication principles and implementation in current computer networks.

Learning objectives

Understand principles and implementation of network algorithms in computer networks. Become familiar with design of network devices. Learn advanced methods for network traffic identification and anomaly detection. Introduce concepts of peer-to-peer networks, content delivery networks and software defined networks.

Why is the course taught

The course prepares students to solve advanced engineering tasks in area of network communication, network applications and infrastructure. The course introduces advanced methods for network traffic analysis and incident detection. Students get familiar with concepts and application of P2P, CDN an SDN networks.

Prerequisite kwnowledge and skills

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

Study literature

Fundamental literature

Syllabus of lectures

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

Syllabus of laboratory exercises

  • Advanced network traffic processing.

Syllabus of computer exercises

  1. Preliminaries of computer networking.
  2. Identification of encrypted traffic.
  3. Midterm exam.

Syllabus - others, projects and individual work of students

  • Advanced metods for network traffic analysis.

Progress assessment

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

Controlled instruction

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.

Exam prerequisites

Requirements for class accreditation are not defined.


Thuexam2021-06-10 C311 13:0014:50 1MIT 2MIT 2. oprava
Friexam2021-05-14 C304 C311 08:0015:50Zkouška PDS
Friexam2021-06-04 C311 08:0011:50 1MIT 2MIT 1. oprava
Frilecturelectures E112 08:0010:50 1MIT 2MIT NCPS - NSEC NHPC NNET xx
Frilecturelectures E112v 08:0011:50MST, ZP, bez projekce
Friexerciselectures E112 11:0011:50 1MIT 2MIT NCPS - NSEC NHPC NNET xx

Course inclusion in study plans

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