course: Theoretical Information Technology

teaching methods:
lecture with tutorials
computer based presentation, black board and chalk
responsible person:
Prof. Dr.-Ing. Aydin Sezgin
M. Sc. Anas Chaaban (ETIT), Dr.-Ing. Yanling Chen (ETIT)
offered in:


The students have a very good knowledge of concepts of optimization, the theory of reliable and secure communication in wireless networks and algorithms, and are able to extend and improve results in various directions resulting in conference and journal publications.


The goal of the course is to provide a survey of the state-of-the-art on topics in advanced communication theory. What is really the best way to operate communication networks? What are the fundamental limits to communicate over such networks? Which is the optimal strategy? Is secure or confidential communication possible? What features will future wireless networks have? Those are the questions addressed in this course, which provides strategic guidance and guidelines for the design of communication networks. The course might be of relevance to graduate students interested in communication and signal processing. The focus of this course is on theoretical aspects of multi-user networks. The presentation style of the lectures is rather informal, favoring broad intuition over mathematical rigor. The technical (and finer) details have to be investigated by the students within the project part of the course. The course is taught from a signal processing and communication theory perspective with occasional deviation to information theory. Fundamentals as well as several advanced topics such as

  • convex optimization and algorithms,
  • information theoretic privacy and security,
  • network information theory,
  • wireless communication theory

are covered, depending on the interests and background of the students. All the above mentioned topics are of high importance for current wireless networks and also useful in developing new techniques and algorithms for future wireless networks.



recommended knowledge

  • Mathematics I-IV
  • Communications Engineering
  • Signals and Systems
  • Probability theory
  • Information theory
  • Wireless Communication


  1. Boyd, S., Vandenberghe, L. "Convex Optimization", Cambridge University Press, 2004
  2. Cover, T., Thomas, J. "Elements of Information Theory", Wiley & Sons, 2006
  3. El-Gamal, A., Kim, Y.-H. "Network Information Theory", Cambridge University Press, 2011
  4. Bertsekas, Dimitri P. "Nonlinear Programming", Athena Scientific, 1999