This course introduces students to classical communication systems and information theory. Students will acquire a profound understanding of: - The fundamental elements and the probabilistic modeling of classical communication systems. - The main information theoretic concepts and limits to analyze classical communication systems. - The techniques used for modulation, encoding and decoding.

The topics covered in this course are as follows: 1) Fundamental elements and probabilistic modeling of classical communication systems. 2) Modern information theory: information measures, fundamental limits in Shannon's theory and quantum information. 3) Techniques for data modulation, coding and decoding.

Lectures: The basic concepts will be mainly taught at the blackboard. Exercises: In order to deepen the understanding of the taught material, every two weeks students have to hand in the solutions to a set of problems. These solutions will be graded from 1 to 10, the average grade over the whole semester will constitute part of the grade of the continuous assessment.