Course details

Data Communications, Computer Networks and Protocols

PDS Acad. year 2022/2023 Summer semester 5 credits

Transport protocols. Routing algorithms. Design of switches and routers. Principles of P2P communication. Packet processing in the operating system. Detection of network incidents. Data centers, software defined networks, virtual network functions. Content delivery networks. Privacy and anonymity in computer networks.


Course coordinator

Language of instruction

Czech, English


Examination (written+oral)

Time span

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

Assessment points

60 pts exam, 15 pts mid-term test, 25 pts 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.

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 common network devices. Learn advanced methods for classification and analysis of network traffic and error detection in computer communication.

Why is the course taught

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

Prerequisite knowledge and skills

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

Study literature

Fundamental literature

Syllabus of lectures

  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.

Syllabus of laboratory exercises

  • Advanced network traffic processing.

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. 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.

Exam prerequisites

Requirements for class accreditation are not defined.


Fri lecture lectures E104 08:0010:509999 1MIT 2MIT NCPS - NSEC NHPC NNET xx
Fri exercise lectures E104 11:0012:509999 1MIT 2MIT NCPS - NSEC NHPC NNET xx

Course inclusion in study plans

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