Curricula

Objectives

Purpose of the course
You learn the structure of backbone networks, protocols and their design principles. You learn how to search for information from industry standards and manuals in order to solve information network problems in backbone networks.

Competences of the course
EUR-ACE: Knowledge and understanding 
EUR-ACE: Engineering practice 
EUR-ACE: Investigations and information retrieval 

Competence goal of the course
You know the protocols and principles of data transmission in backbone networks. You know the technologies and protocols used in backbone networks, and know how to configure them. You know how to plan the configurations for the protocols needed to form the backbone network. You know how to search for information on industry standards and device manufacturers' manuals to solve problems in backbone networks. You know how backbone networks are connected to customers' data center and local area networks, as well as to other backbone networks.

Content

There are several technologies used in backbone networks and their development is continuous. The implementation of the study course describes its current, essential technologies. This list described in the course description is indicative:
- Further details of the internal routing of the backbone network (Open Shorest Path First, Intermediate System to Intermediate System and Internal Border Gateway Protocol)
- More detailed details of routing connecting backbone networks (External Border Gateway Protocol, BGP Metrics)
- Technologies that differentiate backbone customer traffic and speed up traffic control (LDP, MPLS-VPN, L2circuit, VPLS, Logical-systems, Routing-instances, Virtual Routing and Forwarding)
- Traffic prioritization of backbone networks (Quality of Service, DiffServ, DSCP)
- Traffic control of backbone networks (Traffic Engineering, Segment Routing)

Learning materials and recommended literature

Materials in the e-learning environment.

Teaching methods

- lectures
- independent study
- webinars
- small group learning
- exercises
- learning tasks
- seminars

Practical training and working life connections

If possible
- visiting lecturers
- projects

Exam dates and retake possibilities

The possible date and method of the exam will be announced in the course opening.

Alternative completion methods

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

One credit (1 Cr) corresponds to an average of 27 hours of work.

- lectures 52 h
- exercises 15 h
- assignment 35 h
- independent study 30 h
- company visits 3 h
Total 135 h

Evaluation scale

0-5

Evaluation criteria, satisfactory (1-2)

Sufficient 1: The student must master the theory of backbone networks and recognize some sections of existing backbone networks. The student can solve simple problems in backbone networks. The student knows how to plan and implement parts of a small backbone network based on the specification of requirements.

Satisfactory 2: The student satisfactorily masters the theory of backbone networks and identifies sections of existing backbone networks. The student can solve simple problems in backbone networks. The student knows how to plan and implement parts of a small backbone network based on the specification of requirements.

Evaluation criteria, good (3-4)

Good 3: The student has a good command of the theory of backbone networks and recognizes sections of existing backbone networks. The student can solve problems with backbone networks. The student knows how to plan and implement parts of the core network based on the specification of requirements.

Very good 4: The student has a commendable command of the theory of backbone networks and recognizes sections of existing backbone networks. The student can solve problems with backbone networks. The student knows how to plan and implement parts of the core network based on the specification of requirements

Evaluation criteria, excellent (5)

Excellent 5: The student has an excellent command of the theory of backbone networks and comprehensively identifies sections of existing backbone networks. The student can solve complex problems with backbone networks. The student knows how to plan and implement a scalable core network based on requirements definition.

Evaluation criteria, pass/failed

The student necessarily masters the theory of backbone networks and recognizes some sections of existing backbone networks. The student can solve problems with backbone networks. The student knows how to plan and implement parts of a small backbone network based on the specification of requirements.

Prerequisites

Data networks
IT service platforms
Linux basics