Gonzalo Vazquez



Ph.D. Electrical Engineering


Gonzalo Vazquez-Vilar participates in the teaching of the following courses offered by the Signal Theory and Communications Department at Universidad Carlos III de Madrid.

Graduate Courses

Program: Master in Information and Health Engineering
Years: 2019-2022
Language: English
Description:  This graduate course presents optimization theory and illustrates its use with many recent applications in machine learning, communications and signal processing.
Advanced Techniques in Signal Processing and Communications
(Técnicas avanzadas en tratamiento de señal y comunicaciones)
Program: Master in Telecommunications Engineering
Years: 2017-2021
Language: English / Spanish
Description:  This graduate course studies the techniques and algorithms used for solving different problems in communications systems: detection in sensors networks, channel coding, channel estimation and equalization, and MIMO systems and receivers with diversity.
Advanced Communications
Program: Master in Multimedia and Communications
Years: 2016-2017, 2018-2019
Language: English
Description:  This course covers recent developments in digital communications with focus on the encoding and decoding techniques that allow us to approach the limits set by the information theory.

Undergraduate Courses

Linear Systems (Sistemas Lineales)
Program: Bachelor in Telecommunication Technologies Engineering
Years: 2014-2020, 2021-2022
Language: Spanish
Description:  This course provides the students with the theoretical and methodological knowledge necessary to work with continuous and discrete-time signals and LTI (linear and time-invariant) systems in the frequency domain.
Introduction to Quantum Communications and Computing
(Introducción a la Comunicación y la Computación Cuántica)
Program: Bachelor in Telecommunication Technologies Engineering (and other)
Years: 2019-2022
Language: Spanish
Description:  This course introduces the fundamental concepts of quantum communication and computing. Starting from an experimental basis, the course motivates why the classical theory of probability is not able to model certain real physical systems and presents a new quantum theory of probability. This theory is then used to analyze several problems, including the transmission of information, the teleportation and quantum computation.