Course detail
Data Communications, Computer Networks and Protocols
FIT-PDSAcad. year: 2023/2024
Transport protocols. Routing algorithms. Switch and router design. Principles of P2P communication. Network traffic classification. Packet processing in the operating system. Network protocol identification and anomaly detection. Reputation systems. Data centres, software defined networks, virtual network functions. Content delivery networks. Privacy and anonymity in computer networks.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
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 the principles and implementation of network algorithms in computer networks. Become familiar with the design of common network devices. Learn advanced methods for network traffic classification and analysis. Understand the architecture of P2P networks, SDN and network programming. Get an overview of network security and privacy.
Study aids
Prerequisites and corequisites
Basic literature
Recommended reading
George Varghese. Network Algorithmics. Elsevier, Inc., 2005.
Elearning
Classification of course in study plans
- Programme IT-MSC-2 Master's
branch MIN , 0 year of study, summer semester, compulsory-optional
branch MBI , 0 year of study, summer semester, compulsory-optional
branch MBS , 1 year of study, summer semester, compulsory
branch MPV , 1 year of study, summer semester, compulsory
branch MIS , 1 year of study, summer semester, compulsory
branch MGM , 1 year of study, summer semester, compulsory
branch MSK , 1 year of study, summer semester, compulsory
branch MMM , 0 year of study, summer semester, elective - Programme MITAI Master's
specialization NISY , 0 year of study, summer semester, elective
specialization NSPE , 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
specialization NSEC , 0 year of study, summer semester, compulsory
specialization NISY up to 2020/21 , 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 NNET , 0 year of study, summer semester, compulsory
specialization NMAL , 0 year of study, summer semester, elective
specialization NVER , 0 year of study, summer semester, elective
specialization NIDE , 0 year of study, summer semester, elective
specialization NEMB , 0 year of study, summer semester, elective
specialization NEMB up to 2021/22 , 0 year of study, summer semester, elective
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
- Introduction to networking.
- Routing theory.
- Transport layer, flow-control and congestion-control.
- Switch design.
- Router design.
- IP address lookup and packet classification.
- Peer to peer networks.
- Packet processing in operating system.
- Data center. Software Defined Networks.Virtual Network Functions.
- Network traffic identification and anomaly detection.
- Reputation systems.
- Privacy and anonymity on the Internet.
Fundamentals seminar
Teacher / Lecturer
Laboratory exercise
Teacher / Lecturer
Syllabus
- P4 network programming.
Project
Teacher / Lecturer
Elearning