List of courses

The group is involved in the following courses:

EE1L11 EPO-1: Booming Bass (5 EC)

Build, analyze and characterize a sound system consisting of a power source, amplifier and 3-way filters

EE2C11 Integrated circuits (5 EC)

Analysis and design of digital integrated circuits (electronics and systems aspects)

EE2L21 EPO-4: BSc 2nd year practical (5 EC)

Two variants: "KITT: Autonomous driving" and "Biosensing"

EE2ML1 Introduction to Machine Learning (3 EC)

Elective course for BSc-EE students

EE2S11 Signals and systems (5 EC)

Theory of signal transformations and LTI systems

EE2S31 Signal processing (5 EC)

Digital signal processing; stochastic processes

EE2T11 Telecommunications A (5 EC)

A first course in telecommunication, with focus on the physical layer. Includes a lab course related to Signals and Systems (preparing for EPO-4)

EE2T21 Telecommunications B (5 EC)

Modulation, introduction to networks

EE3115TU Digital Communication Systems (3 EC)

Transmission of digital signals

EE3350TU Introduction to Radio Astronomy (3 EC)

(not running) Introduction to the science and technology of radio astronomy

EE3P11 Electromagnetics (5 EC)

An introduction to electromagnetic fields and waves

EE4182 Digital audio and speech processing (6 EC)

(not running) Audio, speech and acoustic signal processing, speech enhancement, microphone-array signal processing

EE4530 Applied convex optimization (5 EC)

Applied convex optimization: role of convexity in optimization, convex sets and functions, Canonical convex problems (SDP, LP, QP), second-order methods, first-order methods for large-scale problems.

EE4540 Distributed signal processing (5 EC)

(not running) Signal processing techniques for decentralized signal processing

EE4560 Information theory (5 EC)

(not running) Source and channel coding

EE4595 Wavefield imaging (5 EC)

Advanced linear and nonlinear wavefield imaging and inversion methods with applications in geophysics, biomedical imaging, and optics

EE4610 Digital IC Design (3 EC)

Analysis and design of digital systems with full comprehension of its performance, power dissipation, size and reliability.

EE4650 Advanced Magnetic Resonance Imaging (5 EC)

Principles of MRI starting from basic EM

EE4685 Machine learning, a Bayesian perspective (5 EC)

Mathematical foundation for machine learning algorithms, presented from a statistical (Bayesian) and optimization point of view.

EE4715 Array processing (5 EC)

Array processing techniques for signal separation and parameter estimation

EE4740 Data compression: Entropy and sparsity perspectives (5 EC)

Data compression and its connections to information theory and compressed sensing

EE4750 Tensor networks for green AI and signal processing (4 EC)

Introduction to tensor linear algebra

EE4C03 Statistical digital signal processing (5 EC)

A second course on digital signal processing: random signals, covariances, linear prediction, spectrum estimation, optimal filtering, Wiener and Kalman filters, LMS and RLS algorithm

EE4C11 Systems engineering (5 EC)

Introduction to systems engineering processes

EE4C12 Machine learning for Electrical Engineering (5 EC)

Introduction at MSc level

ET-Mi-201 Minor “Electronics for Robotics” (30 EC)

An entry-level acquaintance with the electronics that make robots operate, from principles to hands-on realisation

ET3033TU Circuit analysis (3 EC)

Linear electrical circuits and components, non-linear active components in both the analog and the digital domain

ET4127 Themes in Biomedical Electronics (4 EC)

BioMEMS, biosensors, bioelectronics, ultrasound, microfluidics, wavefield imaging in monitoring, diagnosis and treatment

ET4147 Signal processing for communications (4 EC)

(not running) Signal separation and parameter estimation using arrays of sensors.

ET4358 Fundamentals of wireless communications (5 EC)

Overview of the essential aspects of the physical layer as well as transmission system design aspects of generic wireless communications systems

ET4386 Estimation and detection (5 EC)

Basics of detection and estimation theory, as used in statistical signal processing, adaptive beamforming, speech enhancement, radar, telecommunication, localization, system identification, and elsewhere.