Lectures
Our teaching covers communication networks, software engineering, queing theory, and statistics, combining theory and practice through problem-based learning.
Software Engineering Grundlagen
After completing the module, students have competencies and practical skills in dealing with various programming languages and programming environments.
The module focuses on the structure and programming of computers with Python and Assembler. This includes information representation, basic Boolean circuits, computer architecture, algorithms and their complexity analysis, i.e. Big O notation.
At a glance
Module Number: EuI-ET-C-SwEgG
Type: compulsory course
Semester: 1th Semester ET
Term: annually in winter semester
Language: German (material in English)
Extent: 2/1/1
Exam: written, 120 min
Credits: 5
Lecturers and Teaching Assistants
16/10/2025
9:20 – 10:50
L2 – Basics: variables, lists, sets, if, loops, dictionary, math
Prof. Frank Fitzek
22/10/2025
13:00 – 14:30
E1 – Basics: flow chart, variables, math
Dr. Stanislav Mudriievskyi
29/10/2025
13:00 – 14:30
E2 – Input, output, if statement, boolean logic
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
29/10/2025
14:50 – 16:20
L5 – Introduction to Raspberry Pi Pico
Dr. Stanislav Mudriievskyi, Dr. Roland Schingnitz
05/11/2025
13:00 – 14:30
E3 – Loops: while, for; arrays (lists)
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
06/11/2025
9:20 – 10:50
L8 – Object-oriented programming: library
Dr. Stanislav Mudriievskyi
12/11/2025
13:00 – 14:30
E4 – Functions, execution time, Pico
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
12/11/2025
14:50 – 16:20
L9 – Practical examples in MicroPython for Raspberry Pi Pico
Dr. Roland Schingnitz
13/11/2025
9:20 – 10:50
L10 – Object-oriented programming: game theory
Prof. Frank Fitzek
19/11/2025
No lecture – Public holiday
20/11/2025
No lecture – Project week
26/11/2025
13:00 – 14:30
E5 – Q&A to lab1
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
26/11/2025
14:50 – 16:20
L11 – Raspberry Pi Pico architecture 1
Dr. Stanislav Mudriievskyi
27/11/2025
9:20 – 10:50
L12 – UDP communication over WiFi; Problem based learning
Prof. Frank Fitzek
03/12/2025
13:00 – 14:30
E6 – Read from / write to files
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
03/12/2025
14:50 – 16:20
L13 – Raspberry Pi Pico architecture 2
Dr. Stanislav Mudriievskyi
04/12/2025
9:20 – 10:50
L14 – Raspberry Pi Pico architecture 3
Dr. Stanislav Mudriievskyi
10/12/2025
13:00 – 14:30
E7 – Q&A to lab2, lab3
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
07/01/2026
14:50 – 16:20
L15 – Digital transfer, AI, machine learning, consultation, Q&A
Prof. Frank Fitzek, Dr. Stanislav Mudriievskyi
Software Engineering Grundlagen
After completing the module, students have competencies and practical skills in dealing with various programming languages and programming environments.
The module focuses on the structure and programming of computers with Python and Assembler. This includes information representation, basic Boolean circuits, computer architecture, algorithms and their complexity analysis, i.e. Big O notation.
At a glance
Module Number: EuI-ET-C-SwEgG
Type: compulsory course
Semester: 1th Semester ET
Term: annually in winter semester
Language: German (material in English)
Extent: 2/1/1
Exam: written, 120 min
Credits: 5
Lecturers and Teaching Assistants
16/10/2025
9:20 – 10:50
L2 – Basics: variables, lists, sets, if, loops, dictionary, math
Prof. Frank Fitzek
22/10/2025
13:00 – 14:30
E1 – Basics: flow chart, variables, math
Dr. Stanislav Mudriievskyi
29/10/2025
13:00 – 14:30
E2 – Input, output, if statement, boolean logic
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
29/10/2025
14:50 – 16:20
L5 – Introduction to Raspberry Pi Pico
Dr. Stanislav Mudriievskyi, Dr. Roland Schingnitz
05/11/2025
13:00 – 14:30
E3 – Loops: while, for; arrays (lists)
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
06/11/2025
9:20 – 10:50
L8 – Object-oriented programming: library
Dr. Stanislav Mudriievskyi
12/11/2025
13:00 – 14:30
E4 – Functions, execution time, Pico
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
12/11/2025
14:50 – 16:20
L9 – Practical examples in MicroPython for Raspberry Pi Pico
Dr. Roland Schingnitz
13/11/2025
9:20 – 10:50
L10 – Object-oriented programming: game theory
Prof. Frank Fitzek
19/11/2025
No lecture – Public holiday
20/11/2025
No lecture – Project week
26/11/2025
13:00 – 14:30
E5 – Q&A to lab1
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
26/11/2025
14:50 – 16:20
L11 – Raspberry Pi Pico architecture 1
Dr. Stanislav Mudriievskyi
27/11/2025
9:20 – 10:50
L12 – UDP communication over WiFi; Problem based learning
Prof. Frank Fitzek
03/12/2025
13:00 – 14:30
E6 – Read from / write to files
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
03/12/2025
14:50 – 16:20
L13 – Raspberry Pi Pico architecture 2
Dr. Stanislav Mudriievskyi
04/12/2025
9:20 – 10:50
L14 – Raspberry Pi Pico architecture 3
Dr. Stanislav Mudriievskyi
10/12/2025
13:00 – 14:30
E7 – Q&A to lab2, lab3
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
07/01/2026
14:50 – 16:20
L15 – Digital transfer, AI, machine learning, consultation, Q&A
Prof. Frank Fitzek, Dr. Stanislav Mudriievskyi
Software Engineering Vertiefung
After completing the module, students will be able to apply their programming skills to an embedded system and select different programming environments based on their complexity and level of application.
Contents of the module are embedded systems such as Raspberry Pi Pico and the efficient and portable programming of data structures and algorithms in a typed procedural language such as C as well as the comparison with other languages such as Assembler or MicroPython. The module also includes object-
oriented programming languages.
At a glance
Module Number: EuI-ET-C-SwEgV
Type: compulsory course
Semester: 2th Semester ET
Term: annually in summer semester
Language: German (material in English)
Extent: 2/1/1
Exam:
Credits: 5
Lecturers and Teaching Assistants
Software Engineering Vertiefung
After completing the module, students will be able to apply their programming skills to an embedded system and select different programming environments based on their complexity and level of application.
Contents of the module are embedded systems such as Raspberry Pi Pico and the efficient and portable programming of data structures and algorithms in a typed procedural language such as C as well as the comparison with other languages such as Assembler or MicroPython. The module also includes object-
oriented programming languages.
At a glance
Module Number: EuI-ET-C-SwEgV
Type: compulsory course
Semester: 2th Semester ET
Term: annually in summer semester
Language: German (material in English)
Extent: 2/1/1
Exam:
Credits: 5
Lecturers and Teaching Assistants
Hauptseminar Kommunikationstechnik
This seminar series shall help students to work, research, document and present on a scientific basis.
The Hauptseminar is preparing for Studien- /Master- and Diplomtheses.
Course materials and further information are to be found at the OPAL-Website of the course.
At a glance
Module Number: ET-12 10 02
Type: compulsory course
Semester: 6th Semester ET
Term: annually in summer semester
Language: German
Extent: 0/2/0
Exam: project work
Credits: 4
Lecturers and Teaching Assistants
Projects
The students work in small groups on a research topic affiliated with a chair of the Barkhausenzentrum. The results have to be combined and documented in a project thesis. Topics will be distributed in the first seminars. Project descriptions and contact information of those will be available at the OPAL-Website.
The students have to present the research results on a final meeting.
Communication Networks 1/Kommunikationsnetze 1
In this lecture the students will learn about the basic principles for communication systems. An important role has the layered communication protocol stack that allows for a global network with large flexibility. The different layers will be introduced and prominent protocols are discussed more in detail. Together with simple programming examples the students should understand the basic approach of communication networks. The lecture will also link the teaching content with ongoing research activities at the chair.
Important information for the YT playlist: The videos reflect the state of 2020. Since we update our lectures and exercises each year to some extent, new information may not be covered in the playlist.
At a glance
Module Number: ET-12 10 04, RES-WK-45
Type: compulsory course
Semester: 6th Semester ET/IT
Term: annually in summer semester
Language: German (material in English)
Extent: 2/2/0
Exam: written, 150 min
Credits: 4
Lecturers and Teaching Assistants
L1-1 – Organization, Introduction of ComNets Chair
You Tube Videos L0-01 to L0-02
L1-2 – History and Introduction of Communication Systems/Motivation
You Tube Videos L0-01 to L0-02
L2 – Concept of a layered model, 7 ISO/OSI model, Standardization
You Tube Videos L0-01 to L0-02
L3-1 + H1 – [L1: PHY-Layer] Error Correction + Hands-On:
Molecular Transmission
L3-2 – [L1: PHY-Layer] Symbol and Bits, Different mediums
You Tube Videos L3-01 to L3-06
L4 – [L2: Data Link Layer] Channel Access, CSMA, CDMA
You Tube Videos L4-01 to L4-03
E1 – Introduction & ISO-OSI Layer Model: Example tasks and protocols per layer
L1-1 – Organization, Introduction of ComNets Chair
You Tube Videos L0-01 to L0-02
L1-1 – Organization, Introduction of ComNets Chair
You Tube Videos L0-01 to L0-02
L1-1 – Organization, Introduction of ComNets Chair
You Tube Videos L0-01 to L0-02
L1-1 – Organization, Introduction of ComNets Chair
You Tube Videos L0-01 to L0-02
Contact Person
Please contact Tobias for general questions and problems, and for specific issues the corresponding teaching assistant.
Communication Networks 2 / Kommunikationsnetze 2
In this course, we cover hot topics of communication networks, including but not limited to:
- Computation in Future Communication Networks and Tactile Internet
- Network Slicing
- Mobile Edge Cloud (MEC)
- Software-defined Networking (SDN)
- Network Function Virtualization (NFV)
- Active Queue Management (AQM)
- Time-Sensitive Networking (TSN)
- Hands-on Exercises: Mininet, ComNetsEmu, Docker, Network Slicing, Mobile Edge Cloud, Active Queue Management, Programmable Networks
At a glance
Part of Module:
Communication Networks, Advanced I
Module Number: ET-12 10 05
Type: elective
Semester: 8
Term: annually in summer semester
Language: English
Extent: 2/1/0
Exam: written, 120 min
Lecturers and Teaching Assistants
Contact Person
Please contact Mingyu Ma or Ricardo Pousa for general questions and problems, and for specific issues the corresponding teaching assistant.
Textbooks
An introduction to the book and related slides for each chapter can be found on our website. We will distribute the corresponding chapters of the book in the course.
Related Publications
2019
Comparing and Evaluating Application-specific Boot Times of Virtualized Instances Proceedings Article
In: IEEE 5G World Forum, Dresden, Germany, 2019.
Containers vs Virtual Machines: Choosing the Right Virtualization Technology for Mobile Edge Cloud Proceedings Article
In: IEEE 5G World Forum, Dresden, Germany, 2019.
Fog Computing as an Enabler for Immersive Media: Service Scenarios and Research Opportunities Journal Article
In: IEEE Access, 2019.
Reusing Sub-chains of Network Functions to Support MEC Services Proceedings Article
In: IEEE ISCC, Barcelona, Spain, 2019.
Improving Communication Reliability Efficiently: Adaptive Redundancy for RLNC in SDN Proceedings Article
In: 2019 IEEE Conference on Network Softwarization (NetSoft) (NetSoft 2019), Paris, France, 2019.
Reducing Latency in Virtual Machines Enabling Tactile Internet for Human Machine Co-working Journal Article
In: IEEE Journal on Selected Areas in Communications, vol. 37, no. 5, pp. 1098-1116, 2019, ISSN: 0733-8716.
Practical Implementations of Network Coding/Netzwerkkodierung in Theorie und Praxis
This course introduces the students to the challenges and approaches of the state-of-the-art implementations of network coding. The course is taught not just through lectures but also with hands-on exercises using the Kodo software library. Kodo is available as a C++ and Python library and web tool. Therefore, students with different programming preferences will be able to approach it.
The initial lectures refresh the knowledge of the students of the theoretical background of network coding, e.g., the min-cut max-flow of a network, inter-flow network coding, and intra-flow Random Linear Network Coding (RLNC). The student is then introduced to the state-of-the-art software library Kodo and the advanced implementations of network coding such as systematic, sparse, tunable sparse, sliding window, etc. The course also covers the benefits of network coding in distributed storage applications. By the end of the course, the student will be introduced to advanced applications of network coding, e.g., Coded TCP, MORE, FULCRUM.
The exercises will teach the students how to use sockets in python as well as the python bindings of the Kodo software library for implementing unicast and broadcast communication applications.
You can apply for a research license for PyErasure. Specify that you are a student from the network coding course at the TUD. You will need a Github account where the source code is hosted.
At a glance
Module Number: ET-12 10 21
Type: elective course
Semester: 8th Semester ET
Term: annually in summer semester
Language: English
Extent: 2/1/0
Credits: 7
Lecturers and Teaching Assistants
Further Material
The Enigma Code (Enigma Machine) – Numberphile
Flaw in the Enigma Code – Numberphile
How Internet Communication Works: Network Coding – Art of the Problem
- Everything you ever wanted to know about UDP sockets but were afraid to ask
- Codebreakers – Auf der Jagd nach Hitlers Geheimcode
- QUIC is a transport protocol originally designed, implemented and deployed by Google that is being standardized at the IETF, and it is used nowadays by many servers in the world and supported by several web browsers. Its first stable specification will bring the same functionality as TCP+TLS+HTTP/2. In this article, the authors add Forward Error Correction (FEC) codes to the protocol and show their results.
- Médard, Muriel, et al. “Network coding mythbusting why it is not about butterflies anymore.” IEEE Communications Magazine 52.7 (2014): 177-183.
- Ahlswede, Rudolf, et al. “Network information flow.” Information Theory, IEEE Transactions on 46.4 (2000): 1204-1216.
- Koetter, Ralf, and Muriel Médard. “An algebraic approach to network coding.”IEEE/ACM Transactions on Networking (TON) 11.5 (2003): 782-795.
Contact Person
Please contact Juan Cabrera for general questions and problems.
Cooperative Communication Systems/Kooperative Kommunikation
This course aims at giving the students a complete overview of cooperation among modern communication networks that aid in achieving maximum network efficiency. The knowledge of approaches and methods of game theory allows the analysis of conflict situations as they occur, in the resource allocation of radio systems. The idea of cooperation among pure peer-to-peer networks is extended to multi-channel aware cooperation techniques like in the case of LTE over wireless meshed devices. The use of modern coding techniques such as network coding for improving cooperation gains is highlighted in the lecture. A small project is showing how fireflies work together in nature. The final lectures deal with the application of cooperative techniques to modern wireless mesh networks.
The theoretical concepts dealt with in the lectures are complemented with some interesting hands-on experiments and games in the exercise sessions to provide an intuitive understanding of the practical use of cooperative systems.
At a glance
Module Number: ET-12 10 22
Type: elective course
Semester: 8th Semester ET
Term: annually in summer semester
Language: English
Extent: 2/1/0
Exam: written, 120 min
Credits: 7
Lecturers and Teaching Assistants
Further Material
Das Gefangenendilemma (in German)
The prisoner’s dilemma (in English)
Statistik 1
In this course students will be taught the usage of mathematical methods of statistics in the area of communication technology. The lectures include theoretical and practical methods of descriptive statistics and several procedures for tests and estimations of deductive statistics. Based on combinatorics and theory of probability the students will afterwards know, how to handle massive data and effects academically.
Statistics will be offered again in the winter semester 2026/2027 as part of the new one-semester statistics module.
At a glance
Module Number: ET-12 10 08
Type: elective course
Semester: 8th Semester ET
Term: from 2026, annually in winter semester
Language: German
Extent: 2/1/0
Exam: written, 135 min
Credits: 7 (including Statistik 2)
Lecturers and Teaching Assistants
Statistics will be offered again in the winter semester 2026/2027 as part of the new one-semester statistics module.
Content of course
Zielstellung ist die Gewinnung von Aussagen zur Grundgesamtheit der betrachteten Objekte oder Vorgänge aus konkreten Stichproben unter Einbeziehung wahrscheinlichkeitstheoretischer Modelle. Vorlesungen und Übungsaufgaben helfen, diese für statistische Untersuchungen erforderlichen Modelle zu finden, und zeigen Methoden zu deren analytischer Behandlung auf. Die anschauliche Herleitung bzw. ingenieurmäßige Deutung der verwendeten Gesetzmäßigkeiten ist in erster Linie für den Elektrotechniker bestimmt. Für den praktischen Gebrauch werden oft benötigte Hilfsmittel zusammengestellt.
- Gegenstand und Entwicklungsgeschichte der mathematischen Statistik
- Vertiefungen und Ergänzungen zur Wahrscheinlichkeitstheorie: Kombinatorische Grundlagen; Wahrscheinlichkeitsverteilungen, Momente und Rechenregeln; Wichtige spezielle Wahrscheinlichkeitsverteilungen; Grenzwertsätze
- Beschreibende Statistik: Messniveau von Daten; Empirische Verteilung eines Merkmals; Empirische Verteilung zweier Merkmale
- Schließende/Beurteilende Statistik: Stichprobenvektor und Stichprobenfunktion, ausgewählte Stichprobenfunktionen
- Statistische Schätzverfahren: Schätzfunktionen; Punktschätzungen; Konfidenz- und Prognosenintervalle
- Statistische Prüfverfahren: Prüffunktionen; Hypothesenprüfungen zu Mittelwerten, Varianzen, Anteilwerten und Verteilungsgesetzen, Anpassungstests
- Untersuchung stochastischer Zusammenhänge: Korrelations- und Regressionsanalyse; Varianzanalyse
Statistik 2
In this course students will be taught the usage of mathematical methods of statistics in the area of communication technology. The lectures include theoretical and practical methods of descriptive statistics and several procedures for tests and estimations of deductive statistics. Based on combinatorics and theory of probability the students will afterwards know, how to handle massive data and effects academically.
Continuation of Statistik 1.
At a glance
Module Number: ET-12 10 08
Type: elective course
Semester: 9th Semester ET
Term: annually in winter semester
Language: German
Extent: 2/1/0
Exam: written, 135 min
Credits: 7 (including Statistik 1)
Lecturers and Teaching Assistants
Content of course
Zielstellung ist die Gewinnung von Aussagen zur Grundgesamtheit der betrachteten Objekte oder Vorgänge aus konkreten Stichproben unter Einbeziehung wahrscheinlichkeitstheoretischer Modelle. Vorlesungen und Übungsaufgaben helfen, diese für statistische Untersuchungen erforderlichen Modelle zu finden, und zeigen Methoden zu deren analytischer Behandlung auf. Die anschauliche Herleitung bzw. ingenieurmäßige Deutung der verwendeten Gesetzmäßigkeiten ist in erster Linie für den Elektrotechniker bestimmt. Für den praktischen Gebrauch werden oft benötigte Hilfsmittel zusammengestellt.
- Gegenstand und Entwicklungsgeschichte der mathematischen Statistik
- Vertiefungen und Ergänzungen zur Wahrscheinlichkeitstheorie: Kombinatorische Grundlagen; Wahrscheinlichkeitsverteilungen, Momente und Rechenregeln; Wichtige spezielle Wahrscheinlichkeitsverteilungen; Grenzwertsätze
- Beschreibende Statistik: Messniveau von Daten; Empirische Verteilung eines Merkmals; Empirische Verteilung zweier Merkmale
- Schließende/Beurteilende Statistik: Stichprobenvektor und Stichprobenfunktion, ausgewählte Stichprobenfunktionen
- Statistische Schätzverfahren: Schätzfunktionen; Punktschätzungen; Konfidenz- und Prognosenintervalle
- Statistische Prüfverfahren: Prüffunktionen; Hypothesenprüfungen zu Mittelwerten, Varianzen, Anteilwerten und Verteilungsgesetzen, Anpassungstests
- Untersuchung stochastischer Zusammenhänge: Korrelations- und Regressionsanalyse; Varianzanalyse
Oberseminar Kommunikationsnetze
Discover the ongoing research efforts in our oberseminar, presented by PhD researchers.
This session provides an opportunity for students to learn about the latest work being done within our chair. Attendance is encouraged for those curious about our current research endeavors.
We warmly invite all students to partake and immerse themselves in the dynamic world of advanced studies, offering a unique glimpse into the heart of our chair’s academic pursuits.
At a glance
Module Number: ET-12 10 23
Type: compulsory course
Semester: 9th semester ET
Term: annually in winter semester
Language: English, German
Extent: 0/2/0
Exam: report and presentation
Credits: 4
Lecturers and Teaching Assistants
Exam
- The module marks M results from the weighted average of examination results: M=(2M1+M2)/3, which consists of a report M1 and a project defense M2.
- Supervision is provided by the respective PhD researcher.
- We recommend you use LaTex for writing your report. Please refer to Materials and Tools for more information!
PhD seminar series on Advanced topics of communication networks
The PhD seminar series gives all internal and external PhD students of the chair the possibility to show a very detailed view on their respective research topics. We will also invite external speakers and guest to present within this series.
This seminar is combined with Oberseminar ComNets.
Communication Networks 3/Kommunikationsnetze 3
In this course we cover the most recent topics about communication networks such as
- Future communication networks: 6G and the Quantum Internet
- Basics of quantum mechanics
- Quantum communication networks: hardware, software, and applications
- Quantum computing and quantum sensing
- Molecular communications
- Post-Shannon communications
Please enroll in OPAL to receive updates and to get the material related to the lecture. The registration is open till 14.11.2025.
At a glance
Module Number: ET-12 10 20
Type: elective course
Semester: 9th Semester ET
Term: annually in winter semester
Language: English
Extent: 2/1/0
Exam: written, 120 min; project work
Credits: 7 (together with Problem Based Learning)
Lecturers and Teaching Assistants
14/10/2025
14:50
L1 – Introduction to the course + The Vision of Future Communication Networks + Classical Vs. Quantum (Sensing, Computing, Communication)
19/11/2025
No lecture
Bank holiday
Textbooks
Most of the content of the lectures comes from our recently-published scientific articles and books.
Related Publications
2024
Optimal Routing and End-to-End Entanglement Distribution in Quantum Networks Journal Article
In: Scientific Reports, vol. 14, no. 19262, pp. 1-14, 2024.
2023
Beyond the Bound: A New Performance Perspective for Identification via Channels Journal Article
In: IEEE Journal on Selected Areas in Communications, vol. 41, iss. 8, pp. 2687-2706, 2023.
DNA-Storage in Future Communication Networks Journal Article
In: IEEE Communications Magazine, vol. 61, iss. 10, pp. 178-183, 2023.
Identification Codes: A Topical Review with Design Guidelines for Practical Systems Journal Article
In: IEEE Access, vol. 11, pp. 14961-14982, 2023.
Quantum Enhanced Time Synchronisation for Communication Network Journal Article
In: Computer Networks, 2023.
Coding in Diffusion-Based Molecular Nanonetworks: A Comprehensive Survey Journal Article
In: IEEE Access, pp. 1-1, 2023.
2021
Integrating Quantum Simulation for Quantum-Enhanced Classical Network Emulation Journal Article
In: IEEE Communications Letters, 2021.
Why do we need 6G? Journal Article
In: ITU Journal on Future and Evolving Technologies, vol. 2, no. 6, 2021.
The Computational and Latency Advantage of Quantum Communication Networks Journal Article
In: IEEE Communications Magazine, vol. 59, no. 6, pp. 132-137, 2021.
Problem Based Learning
The course offers hands-on learning on the topics discussed in the “Communication Networks 3” course using a problem-based learning approach.
The course is organized as follows:
- Introductory part (1-2 meetings): We introduce the course and the problem-based learning approach. In addition, the chair members (supervisors) will offer ideas for projects.
- Forming teams and projects selection (1-2 meetings): Every 2-4 students form a team, select a project, meet the supervisor, finalize the project description.
- Project supervision and on-demand lectures (3-6): The students implement the projects and keep the supervisors updated. According to the topics of the selected projects, some lectures and exercises will be organized on demand (TBA). A project report must be submitted till TBD.
- Presentations (2-3 meetings): Team members present their project. Attendance of all presentations is mandatory.
Please attend the first 3 meetings to know the arrangement of the projects.
At a glance
Module Number: ET-12 10 20
Type: elective course
Semester: 9th semester ET
Term: annually in winter semester
Language: English
Extent: 2/1/0
Exam: report and presentation
Credits: 7 (in combination with ComNets3)
Lecturers and Teaching Assistants
12/2025 – 01/2026
Project consultation + On-demand lectures
linked to ComNets3
in sync with individual project supervisors
t.b.d.
Final project result presentation
Exam
t.b.d.
Traffic Theory/Nachrichtenverkehrstheorie
This course offers the theoretical base and practical methods for modelling, analysis, and performance investigation of communication systems. The students will learn how to use known formulas for traffic theory problems. The abstraction from reality to model will be done for different practical applications and networks.
Topics covered are:
- Introduction and Examples
- Probabilities, Random Distributions, Moments, Properties of distributions
- Random processes
- System modelling using traffic theory, terminology, classification, performance measures
- Little’s law, PASTA, BASTA
- Theory of Marcov chains (discrete and continous time)t
- Examples of communication systems to be analyzed with Markov chains
- Outlook on further tools (matrix analysis, fluid-flow, software tools, Jackson networks, Gordon-Newell, BCMP, Mean value analysis, network calculus (deterministic, stochastic)
Exercises will be on discussion base between students and teaching assistant to focus on unsolved problems.
At a glance
Module Number: ET-12 10 05
Type: elective course
Semester: 8th Semester ET
Term: annually in summer semester
Language: German/English
Extent: 2/1/0
Exam: written, 120 min
Credits: 7 (together with ComNets 2)
Lecturers and Teaching Assistants
ICT for Smart Grids/Informations- und Kommunikationstechnik
The course ICT for Smart Grids is offered for students in the module “Kommunikationstechnik” from the Renewable Energy Systems studies. It is linked to the course “Kommunikationsnetze” in this module as well.
The course focuses on communication technologies specific to IoT scenarios (ZigBee, LoRa), Application Layer IoT protocols (MQTT, COAP), data management systems and an introduction to datatbase design, data analysis (traditional and machine learning based), and security.
From this course, students will learn how to approach the design of a distributed and remotely controlled system, from the selection of the communication technology, to the application data management and privacy.
At a glance
Module Number: RES-WK-45
Type: elective course
Semester: 8th Semester RES
Term: annually in summer semester
Language: English, German
Extent: 2/2/0
Exam: written, 150 min
Credits: 7 (together with ComNets 1)
