Course detail

Data Communications, Computer Networks and Protocols

FIT-PDSAcad. year: 2025/2026

Overview of computer networks. Routing algorithms. Transport protocols. Network security. Switch and router design. Classification and packet filtering. P2P networks. SDN networks, data centres, virtualization. Privacy and anonymity in computer networks. IPv6 networking. Network traffic identification. 

Language of instruction

Czech, English

Number of ECTS credits

5

Mode of study

Not applicable.

Entry knowledge

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

Rules for evaluation and completion of the course

Written mid-term exam. The mid-term exam cannot be repeated. The individual project. The oral final exam. The minimum for passing the final exam is 20 out of 60. If this is not achieved, the total score will be 0 points.

Aims

Understand the principles and implementation of network algorithms in computer networks. Become familiar with the design of common network devices. Study advanced methods of classification and analysis of network traffic, as well as and error detection in computer communications.  Understand the principles of modern networking technologies.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

D. Medhi, K. Ramasamy: Network Routing. Algorithms, Protocols, and Architecture. 2nd Edition, Elsevier, 2018.
Andrew Tanenbaum and David Wetherall. Computer Networks. Pearson, Global edition, 2021. 
George Varghese. Network Algorithmics. Elsevier, Inc., 2005.
James Aweya. Switch/Router Architectures. Shared-Bus and Shared-Memory Based Systems. Wiley-IEEE Press, 1st edition, 2018.
James Aweya. Switch/Router Architectures. Systems with Crossbar Switch Farbrics. CRC Press, 1st edition, 2019.

Recommended reading

Elearning

Classification of course in study plans

  • Programme MITAI Master's

    specialization NSEC , 0 year of study, summer semester, compulsory, profile core courses
    specialization NNET , 0 year of study, summer semester, compulsory, profile core courses
    specialization NMAL , 0 year of study, summer semester, elective
    specialization NCPS , 0 year of study, summer semester, compulsory, profile core courses
    specialization NHPC , 0 year of study, summer semester, compulsory, profile core courses
    specialization NVER , 0 year of study, summer semester, elective
    specialization NIDE , 0 year of study, summer semester, elective
    specialization NISY , 0 year of study, summer semester, elective
    specialization NEMB , 0 year of study, summer semester, elective
    specialization NSPE , 0 year of study, summer semester, elective
    specialization NEMB , 0 year of study, summer semester, elective
    specialization NBIO , 0 year of study, summer semester, elective
    specialization NSEN , 0 year of study, summer semester, elective
    specialization NVIZ , 0 year of study, summer semester, elective
    specialization NGRI , 0 year of study, summer semester, elective
    specialization NADE , 0 year of study, summer semester, elective
    specialization NISD , 0 year of study, summer semester, elective
    specialization NMAT , 0 year of study, summer semester, elective

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Syllabus

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

Seminar

4 hod., compulsory

Teacher / Lecturer

Laboratory exercise

2 hod., compulsory

Teacher / Lecturer

Syllabus

  • Advanced network traffic processing.

Project

26 hod., compulsory

Teacher / Lecturer

Syllabus

  • Advanced metods for network traffic analysis.

Elearning