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: blink, button
Dr. Stanislav Mudriievskyi
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 – Raspberry Pi Pico: seven-segment display
Dr. Stanislav Mudriievskyi
12/11/2025
13:00 – 14:30
E4 – Functions, Raspberry Pi Pico: seven-segment display
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 – Raspberry Pi Pico: ADC, UART, PWM
Dr. Stanislav Mudriievskyi
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: PWM, interrupts, multi-core
Dr. Stanislav Mudriievskyi
03/12/2025
13:00 – 14:30
E6 – Logic gates
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
10/12/2025
13:00 – 14:30
E7 – Read from / write to file
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
07/01/2025
13:00 – 14:30
E8 – Q&A to lab2, lab3
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
21/01/2026
14:50 – 16:20
L15 – Consultation, trial exam tasks, 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: blink, button
Dr. Stanislav Mudriievskyi
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 – Raspberry Pi Pico: seven-segment display
Dr. Stanislav Mudriievskyi
12/11/2025
13:00 – 14:30
E4 – Functions, Raspberry Pi Pico: seven-segment display
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 – Raspberry Pi Pico: ADC, UART, PWM
Dr. Stanislav Mudriievskyi
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: PWM, interrupts, multi-core
Dr. Stanislav Mudriievskyi
03/12/2025
13:00 – 14:30
E6 – Logic gates
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
10/12/2025
13:00 – 14:30
E7 – Read from / write to file
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
07/01/2025
13:00 – 14:30
E8 – Q&A to lab2, lab3
Fatima Rani, Dr. Stanislav Mudriievskyi, Nico vom Hofe
21/01/2026
14:50 – 16:20
L15 – Consultation, trial exam tasks, 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
15/04/2026
16:40
E1 – Software installation
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
22/04/2026
16:40
E2 – Information representation, numeral systems
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
29/04/2026
16:40
E3 – C basics
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
06/05/2026
16:40
E4 – Memory allocation and access
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
13/05/2026
16:40
E5 – C for Raspberry Pi Pico: ADC
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
20/05/2026
16:40
E6 – Git examples and hands on
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
25/05/2026
No lecture – Public holiday
27/05/2026
No exercise – Lecture free week
03/06/2026
16:40
E7
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
10/06/2026
16:40
E8 – Consultation
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
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
15/04/2026
16:40
E1 – Software installation
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
22/04/2026
16:40
E2 – Information representation, numeral systems
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
29/04/2026
16:40
E3 – C basics
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
06/05/2026
16:40
E4 – Memory allocation and access
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
13/05/2026
16:40
E5 – C for Raspberry Pi Pico: ADC
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
20/05/2026
16:40
E6 – Git examples and hands on
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
25/05/2026
No lecture – Public holiday
27/05/2026
No exercise – Lecture free week
03/06/2026
16:40
E7
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
10/06/2026
16:40
E8 – Consultation
Dr. Stanislav Mudriievskyi, Fatima Rani, Hristina Radak, Josef Gudnason, Martin Schottlender, Sifat Rezwan
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
at least 3 days before project presentations
Project report to be turned in
at least 3 days before poster session
Exam Part 1 – Project presentation at responsible chair
to be defined
Exam Part 2 – Poster session (all groups together)
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
Communication Networks 1 introduces the fundamental principles of communication networks, starting from the communication link and building up to multiple access, graph-based networks, Internet architecture, cooperative wireless systems, and network coding. The course combines foundational concepts from communication theory and networking with selected advanced topics that prepare students for Communication Networks 2 and 3.
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 – Introduction to the Chair and Course Overview
Introduction to the chair; research areas; major projects; student opportunities; overview of CN1/CN2/CN3; motivation and roadmap of the course
L2 – History of Communication Networks
Early relay systems; Persian communication systems; Chappe telegraph; telegraphy; telephone networks; hierarchy; switching; addressing
L3 – Shannon’s Communication Model and Capacity
Information source; transmitter; channel; receiver; destination; noisy channels; conceptual meaning of Shannon capacity; molecular channel example; ISI; multipath
L4 – Source Coding, Channel Coding, and Reliable Transmission
Coding motivation; Huffman coding; Hamming coding; compression; redundancy; reliability-efficiency trade-offs; introduction to retransmission concepts
L5 – Multiple Access: From ALOHA to Scheduled Access
ALOHA; slotted ALOHA; collisions; throughput; random access; TDMA; FDMA; CDMA; OFDMA; backoff; Kleinrock
L6 – Ethernet, Wi-Fi, and Wireless Access Procedures
Ethernet; CSMA/CD; Wi-Fi; CSMA/CA; RTS/CTS/DATA/ACK; timers; hidden and exposed terminal problems; contention and backoff
L7 – Graphs, Flows, and Network Capacity
Graph models of networks; nodes; edges; paths; connectivity; bottlenecks; cuts; max-flow min-cut; mesh network capacity
L8 – Routing and Path Algorithms
Routing as path selection; shortest-path problems; Dijkstra; Floyd-Warshall; Ford-Fulkerson; shortest path vs. maximum flow
L9 – Internet Architecture: Layering, Services, and Packet Switching
Layering; services and protocols; OSI model; TCP/IP model; encapsulation; decapsulation; packet switching; circuit switching; end-to-end principle
L10 – The Network Layer: IP, Addressing, and Forwarding
Internetworking; datagram communication; best-effort delivery; IPv4/IPv6 overview; addressing; subnetting; forwarding; routing tables; next-hop forwarding
L11 – The Transport Layer: UDP, TCP, and Congestion Control
Ports; multiplexing; UDP; TCP; reliable transport; acknowledgments; ordering; flow control; congestion control; end-to-end communication
L12 – Cooperative Wireless Networks and Wireless Mesh Networks
Wireless mesh networks; relaying; cooperation under common objectives; robustness and coverage gains; cooperative diversity; egoistic users; battery constraints; strategic aspects
L13 – Network Coding I: Motivation and Fundamental Examples
Routing versus coding; butterfly network; coding at intermediate nodes; multicast; relation to max-flow min-cut; communication gains through coding
L14 – Network Coding II: Capacity, Algebra, and In-Network Computing
Linear network coding; finite fields; multicast capacity; distributed encoding/decoding; in-network processing; communication and computation
Exam Consultation
Exam
Exam Review
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)
- Time-Sensitive Networking (TSN)
- 5G Architecture
- OpenAirInterface (OAI) Setup
- Hands-on Exercises: Mininet, ComNetsEmu, Docker, Network Slicing, Mobile Edge Cloud, 5G-Core, and 5G-RAN
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: tbd
Lecturers and Teaching Assistants
18/05/2026
No lecture
Bank holiday
21/05/2026
No exercise
Bank holiday
25/05/2026
No exercise
Bank holiday
15/06/2026
14:50
L8 – General, High-Level Introduction into 5G Architecture, 5G Protocoll and how 5G works
Outlook on future lectures and exercises (Thomas)
02/07/2026
13:00
E5 – RAN I: Architecture; Wireless Channel, Main KPIs, Configuration and Influence, Iperf/Measurements, Interpretation
Contact Person
Please contact Osel Lhamo 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
Please note that this course will not be offered this semester. Nevertheless, if you are interested in the topic, please contact us.
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
Please note that this course will not be offered this semester. Nevertheless, if you are interested in the topic, please contact us.
Further Material
The Math Prodigy Who Died in a Duel
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
Please note that this course will not be offered this semester. Nevertheless, if you are interested in the topic, please contact us.
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
Please note that this course will not be offered this semester. Nevertheless, if you are interested in the topic, please contact us.
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 summer semester SoSe2027 as part of the new one-semester statistics module (EuI-IST-E-STAT).
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 summer semester SoSe2027 as part of the new one-semester statistics module (EuI-IST-E-STAT).
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.
Statistics will be offered again in summer semester SoSe2027 as part of the new one-semester statistics module (EuI-IST-E-STAT).
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
Statistics will be offered again in the summer semester SoSe2027 as part of the new one-semester statistics module (EuI-IST-E-STAT).
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
22/10/2025
14:50
Topic selecting/assignment
01/2026
Project report to be turned in
02/2026
Project presentation at chair
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.
Coding in Diffusion-Based Molecular Nanonetworks: A Comprehensive Survey Journal Article
In: IEEE Access, pp. 1-1, 2023.
Quantum Enhanced Time Synchronisation for Communication Network Journal Article
In: Computer Networks, 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
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
21.04.2026
13:00
28.04.2026
13:00
30.04.2026
13:00
05.05.2026
13:00
12.05.2026
13:00
14.05.2026
Ascension Day
— no lecture —
19.05.2026
13:00
6G Summit Dresden
— no lecture —
26.05.2026
13:00
Pentecoast Week
— no lecture —
28.05.2026
13:00
Pentecoast Week
— no lecture —
02.06.2026
13:00
09.06.2026
13:00
11.06.2026
13:00
16.06.2026
13:00
23.06.2026
13:00
25.06.2026
13:00
30.06.2026
13:00
07.07.2026
13:00
09.07.2026
13:00
14.07.2026
13:00
21.07.2026
13:00
Last Lecture, Recap
17. – 19.08.2026
13:00
Consulting, Briefing, Coaching, Questions
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)
