Course detail

Data Communications, Computer Networks and Protocols

FIT-PDSAcad. year: 2024/2025

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.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Matoušek, Ph.D., M.A.

Department

Department of Information Systems (UIFS)

Entry knowledge

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

Rules for evaluation and completion of the course

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.

Aims

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.

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.

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.

Recommended literature

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

Classification of course in study plans

  • Programme MITAI Master's

    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
    specialization NSEC , 0 year of study, summer semester, compulsory
    specialization NISY up to 2020/21 , 0 year of study, summer semester, elective
    specialization NNET , 0 year of study, summer semester, compulsory
    specialization NMAL , 0 year of study, summer semester, elective
    specialization NCPS , 0 year of study, summer semester, compulsory
    specialization NHPC , 0 year of study, summer semester, compulsory
    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

Type of course unit

 

Lecture

39 hod., optionally

Teacher / Lecturer

Ing. Vladimír Veselý, Ph.D.
doc. Ing. Petr Matoušek, Ph.D., M.A.
Ing. Matěj Grégr, Ph.D.

Syllabus

  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.

Seminar

4 hod., compulsory

Teacher / Lecturer

Ing. Vladimír Veselý, Ph.D.

Laboratory exercise

2 hod., compulsory

Teacher / Lecturer

Ing. Matěj Grégr, Ph.D.

Syllabus

  • Advanced network traffic processing.

Project

26 hod., compulsory

Teacher / Lecturer

doc. Ing. Petr Matoušek, Ph.D., M.A.
Ing. Vladimír Veselý, Ph.D.

Syllabus

  • Advanced metods for network traffic analysis.