Course detail
Data Communications, Computer Networks and Protocols
FIT-PDSAcad. year: 2022/2023
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
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
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.
Prerequisites
The set theory, graph theory and relations. Fundamentals of communication protocols. Principles of Internet.
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Written mid-term exam and submitting project in due dates.
Course curriculum
Work placements
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.
Specification of controlled education, way of implementation and compensation for absences
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.
Recommended optional programme components
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 MBS , 1 year of study, summer semester, compulsory
branch MGM , 1 year of study, summer semester, compulsory
branch MIS , 1 year of study, summer semester, compulsory
branch MMM , 0 year of study, summer semester, elective
branch MPV , 1 year of study, summer semester, compulsory
branch MSK , 1 year of study, summer semester, compulsory - Programme MITAI Master's
specialization NADE , 0 year of study, summer semester, elective
specialization NBIO , 0 year of study, summer semester, elective
specialization NCPS , 0 year of study, summer semester, compulsory
specialization NEMB , 0 year of study, summer semester, elective
specialization NGRI , 0 year of study, summer semester, elective
specialization NHPC , 0 year of study, summer semester, compulsory
specialization NIDE , 0 year of study, summer semester, elective
specialization NISD , 0 year of study, summer semester, elective
specialization NISY up to 2020/21 , 0 year of study, summer semester, elective
specialization NMAL , 0 year of study, summer semester, elective
specialization NMAT , 0 year of study, summer semester, elective
specialization NNET , 0 year of study, summer semester, compulsory
specialization NSEC , 0 year of study, summer semester, compulsory
specialization NSEN , 0 year of study, summer semester, elective
specialization NSPE , 0 year of study, summer semester, elective
specialization NVER , 0 year of study, summer semester, elective
specialization NVIZ , 0 year of study, summer semester, elective
specialization NISY , 0 year of study, summer semester, elective - Programme IT-MSC-2 Master's
branch MBI , 0 year of study, summer semester, compulsory-optional
branch MIN , 0 year of study, summer semester, compulsory-optional - Programme MITAI Master's
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.
- Packet processing in operating system.
- Data center. Software Defined Networks.Virtual Network Functions.
- Peer to peer networks.
- Packet classification and data filtering.
- Intrusion detection.
- Reputation systems.
- Privacy and anonymity on the Internet.
- Content delivery networks.
Fundamentals seminar
Teacher / Lecturer
Laboratory exercise
Teacher / Lecturer
Syllabus
- Advanced network traffic processing.
Project
Teacher / Lecturer
Syllabus
- Advanced metods for network traffic analysis.
Elearning