Modeling Seminar for Engineers

Mérnöki modellalkotás - az elmélettől a gyakorlatig

A tantárgyleírás hatályossága

Hatályosság kezdete:

2026. March 21.

Hatályosság vége:

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Subject name (Hungarian, English)

Mérnöki modellalkotás - az elmélettől a gyakorlatig

Modeling Seminar for Engineers

Subject code

BMEVITMMA03

Subject type

—

Training Level

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Course types and hours (weekly/semester)

Course type	lecture	tutorial	laboratory
hours (weekly)	2	1	0
type (linked/independent)	—	derived course	—

Assessment type

vizsga

Credits

Subject coordinator

DR. Babarczi Péter

position: egyetemi docens

contact: babarczi.peter@vik.bme.hu

Responsible department

Távközlési és Mesterséges Intelligencia Tanszék

Faculty

Villamosmérnöki és Informatikai Kar

Subject website

http://www.tmit.bme.hu/vitmma03

Primary curriculum type

—

Direct prerequisites – Strong prerequisite

none

Direct prerequisites – Weak prerequisite

none

Direct prerequisites – Parallel prerequisite

none

Direct prerequisites – Milestone prerequisite

none

Direct prerequisites – Exclusion

none

Objectives

Programme

· IP forwarding and compressed data structures

o IP addressing. IP forwarding, scalability issues

o Prefix tree compression, information-theoretic bound, lookup on compressed data structures

· Efficient bandwidth utilization with coding

o Network bandwidth planning, multicast forwarding

o Demonstrating the efficiency of mathematical models through a network coding use case

· Virtual network design

o Practical implementations of virtual networks over the physical infrastructure (cloud computing, SDN, etc.)

o Virtual network embedding into the physical topology

· Internet traffic modeling

o Introduction into traffic modeling

o Demonstrating the existence of equivalent formulas on the Internet to the simple Erlang-formula in the telecommunication networks

· Network dimensioning with network calculus

o Classical queuing system: incoming (aggregated traffic) packets, buffer, server

o Simplifying the involved queuing theory models with the application of network calculus

· Internet traffic engineering

o Fluid model of the TCP closed loop control, continuous feedback systems, controllers

o TCP (and newer version) congestion control, network stability analysis, network stability guarantees

The students will learn the most important engineering challenges and design objectives of communication networks, ranging from small local networks through the core to the Internet. The students will see the most widespread mathematical techniques of modeling the engineering problems in communication networks, and during the course they will learn their application. Through the models the students can apply in practical use cases (e.g., Internet routing, topology, traffic and bandwidth planning) the previously learnt mathematical and algorithmic knowledge form their computer science studies.

Learning outcomes

Ez a tantárgy a KKK rendeletben meghatározott, következő kompetenciák fejlesztését szolgálja:

Knowledge

No learning outcomes recorded.

Skills

No learning outcomes recorded.

Attitudes

No learning outcomes recorded.

Autonomy and responsibility

No learning outcomes recorded.

Oktatási módszertan

Weekly lectures, and practice every second week. The theoretical models shown on the lectures are applied on relevant use cases in the practical lecture. Preparing the home works affect the final grade.

Tanulástámogató anyagok

Online források

For every topic the; recommended papers from the literature will be given.; R. Koetter and M. Médard, "An algebraic approach to network coding,"; IEEE/ACM Trans. on Networking, vol. 11, no. 5, pp. 782-795, 2003; Bonald,; Thomas, and James W. Roberts. "Internet and the Erlang formula." ACM; SIGCOMM Computer Communication Review vol. 42 no. 1, pp. 23-30, 2012; Le; Boudec, J. Y., Thiran, P. Network calculus: a theory of deterministic; queuing systems for the internet (Vol. 2050). Springer. 2001;

Recommended preliminary knowledge for completing the subject

Knowledge type competencies

(azon előzetes ismeretek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)

Algorithms, theory of computing

Skill type competencies

(azon előzetes képességek és készségek összessége, amelyek megléte nem kötelező, de a tantárgy eredményes teljesítését nagyban elősegíti)

nincs

Recommended (non-compulsory) preliminary competencies

(azon ajánlott (nem kötelező) előzetesen megszerzendő kompetenciák összessége, amelyek jelentősen hozzájárulnak a tantárgy eredményes teljesítéséhez)

Algorithms, theory of computing

General rules

Requirements: a) Lecture period: preparing home works b) Exam period: written and oral exam

Assessment methods

In-term assessments

No detailed assessments provided.

Weight of in-term assessments

No weights provided.

Exam-period assessments

No detailed assessments provided.

Weight of exam elements

No weights provided.

Grade calculation

No grade thresholds provided.

Attendance requirements

No attendance requirements provided.

Rules for retake and resubmission

Not provided.

Short description

Not provided.

Detailed description

Not provided.

Recommended courses

Not provided.

Workload to complete the subject

No workload breakdown provided.

Validity of subject requirements

Requirements valid from:

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Requirements valid until:

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Curriculum placement

No curriculum placements recorded for this subject version.