Communication Networks Modeling and Optimization
| Lecturer (assistant) | |
|---|---|
| Number | 0000000730 |
| Type | lecture with integrated exercises |
| Duration | 4 SWS |
| Term | Summer semester 2026 |
| Language of instruction | English |
| Position within curricula | See TUMonline |
| Dates | See TUMonline |
Admission information
Description
Introduction to probability and stochastic processes. Discrete-time Markov chains. Continuous-time Markov chains. Introduction to queueing theory. M/G/1 queues. Special queues. Queueing networks. Real-world examples. Math for the Internet architecture. Statistical multiplexing and packet buffering. Scheduling. Network optimization problems. Power optimization application.
Prerequisites
The knowledge of following modules are recommended:
- Data Networking
- Data Networking
Teaching and learning methods
During the lectures students are instructed in a teacher-centered style. In the exercises, analytical problems will be solved. Also, students will have access to software for solving optimization problems (optimization solvers) and will be guided through several examples. Students will need to solve analytical problem on their own.