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ELECTRICAL AND ELECTRONIC ENGINEERING MASTER

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Page 1: MASTER ELECTRICAL AND ELECTRONIC ENGINEERING · Electrical Engineering Sciences and Technologies. The broad and flexible array of courses, labs and projects rank amongst the highest

ELECTRICAL AND ELECTRONIC ENGINEERING

MASTER

Page 2: MASTER ELECTRICAL AND ELECTRONIC ENGINEERING · Electrical Engineering Sciences and Technologies. The broad and flexible array of courses, labs and projects rank amongst the highest

Our society is facing important challenges, including the energy transition

and the big data wave. This master’s program prepares future engineers to address those

challenges by covering the whole spectrum of Electrical Engineering Sciences and Technologies.

The broad and flexible array of courses, labs and projects rank amongst the highest internationally. In addition to its three renowned domains (Micro/

Nanoelectronics, Information Technologies and Energy/Smart Grids), the section of Electrical and

Electronic Engineering offers two new high-level specializations in Data Science and Systems and in

Internet of Things (IoT).

Come and join us in one of these inspiring programs.

Page 3: MASTER ELECTRICAL AND ELECTRONIC ENGINEERING · Electrical Engineering Sciences and Technologies. The broad and flexible array of courses, labs and projects rank amongst the highest

Charles Gigandet: “I work as an electrical engineer for

Logitech in Taiwan, to develop and qualify the electronic components integrated in our products. The electronical industry produces many of its products in Asia and I wanted to discover this environnement to understand it better.”

Mina Bjelogrlic:“Everything that

you saw and was a bit theoretical during your

Bachelor’s, you will be able to use it during this Master’s: you

have the tools, let’s do something with it.”

Human Brain ImagingDiffusion MRI is a special magnetic resonance imaging technique that allows to reconstruct the axonal tracts

that connect the different regions of the brain. This is very useful

in order to understand topics like fundamental human brain

anatomy, neurodegenerative diseases or psychiatric disorders.

Diffusion MRI image processing is an emerging field with much

to explore and great potential for the further evolution of medical imaging. It offers a wide range of signal and

image processing problems such as improving the modeling of diffusion at the local level, reducing the needed scan time to acquire an image, developing

global optimization algorithms to derive the axonal tracts from the raw data, graph analysis on one of the most complex networks known to man,

or transferring those developments to clinical practice by studying the connectivity of real pathological brains as compared to normal controls.

EE student projects in this field of research consist for instance in developing a global optimization algorithm to infer the most probable

set of neuronal bundles from diffusion MR images of a brain. This kind of project involves image processing, mathematics,

statistics, and computer science - it allows EE students and graduates to contribute to the understanding of the fascinating human brain.

The Real-Time and High Performance System-on-Chip Development for

High Resolution Stereo Camera Depth Map Estimation

Depth estimation is an algorithmic step in a variety of image processing applications such as autonomous navigation, robot and driving systems, 3D geographic information systems,

object detection and tracking, medical imaging, computer games and advanced graphic applications,

3D television, multiview coding for stereoscopic video compression, and disparity-based rendering.

The target of this project is to develop real-time and high resolution depth map estimation system using Virtex-7 FPGA. While FPGA computes the

depth map in real-time, the depth map results and the original images will be displayed in PC using QT based Graphical User Interface (GUI). Moreover, some depth map estimation based simple applications, such as measuring the exact distance of the objects (with meters and centimeters) and computing the speed of the object, will be developed in PC.The engineer working on the project will improve his knowledge about embedded systems, Xilinx tools, Modelsim, QT, Ethernet Protocol, using high-end Xilinx Virtex 7 FPGA, hardware implementation using Verilog, image processing, and MATLAB.

Watch the video:

Page 4: MASTER ELECTRICAL AND ELECTRONIC ENGINEERING · Electrical Engineering Sciences and Technologies. The broad and flexible array of courses, labs and projects rank amongst the highest

Master of Science in

ELECTRICAL AND ELECTRONIC ENGINEERING2-year program - 120 ECTS

Core courses 12 ECTS

Optional courses

58 ECTS

Proje�s16 ECTS

Lab4 ECTS

Ma�er’s thesis30 ECTS

Specialization

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Core courses A B C D E F G 12A network tour of data science A D E F 4Convex optimization D E 4Low power electronics A B C D 4Semiconductor devices I A B G 4Smart grids technologies 5Wireless receivers: algorithms and architectures A C D F G 4

Students may choose a 30 ECTS specialization in:A Microelectronics circuits and systemsB Electronic technologies and device-circuit interactionsC BioelectronicsD Internet of Things (IoT)E Data Science and SystemsF Signal, Image, Video and CommunicationG Wireless and Photonics Circuits and Systems

Or a 30 ECTS minor included in the 58 ECTS of optional courses. Recommended minors with this Master: • Biomedical Technologies• Computational Science & Engineering• Energy• Management, Technology and Entrepreneurship• Science, Technology and Area Studies• Spatial Technologies or a 30 ECTS internship (4-6 months)

Industrial internshipThe program includes an 8-week long compulsory internship. A longer internship (8 to 16 weeks) may be done in addition to a specialization or in combination with the Master’s thesis.

School of Engineeringgo.epfl.ch/master-electrical-electronic-engincontact: [email protected] ©

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Optional courses A B C D E F G 58Adaptation and learning E F 4Low-power Analog IC Design A C G 2Advanced computer architecture A 4Advanced lab in electrical energy systems 4Advanced lab in electrical engineering 4Advanced multiprocessor architecture A D 6Advanced VLSI design A D 4Advanced wireless receivers A D G 3Analog circuits for biochip A C D 3Applied data analysis D E 6Applied machine learning D E 4Architecture des systems-on-chip A 4Audio F 3Automatic speech processing E F 3Bioelectronics and biomedical microelectronics A B C D 3Biological modeling of neural network C 4Biomedical signal procesing D F 6BioMEMS C 2Biometrics 3Biomicroscopy I A C D G 3Biomicroscopy II C D 4Bio-nano-chip design C D 3Cellular and molecular biology I C 3Computational photography F 5Computer architecture A 4Conception de mécanismes spatiaux : introduction 2Data visualization (pas donné en 2019-20) E 4Deep learning D E F 4Design technologies for integrated systems A B C D F 6Discrete optimization D E 5Distributed information systems D F 4Distributed intelligent systems A F 5Electrical filters A C G 3Electromagnetic compatibility 2Embedded systems A C D 4Energy conversion and renewable energy 3Energy storage systems 3Flexible bioelectronics C D 4Fundamentals & processes for photovoltaic devices 3Fundamentals of biomedical imaging C 4Fundamentals of biosensors and electronic biochips C D 3Fundamentals of neuroengineering C 4Fundamentals of VLSI design A B C D 4Hardware systems modeling I,II A D G 4HF and VHF circuits and techniques I,II A C G 6Hydropower plants: generating and pumping units 2Image analysis and pattern recognition E F 4Image and video processing D F 6Imaging optics A 3Industrial automation 3Industrial electronics I,II 8Information theory and coding A D E F 7Integrated circuits technology A 2Introduction to computer graphics F 6Introduction to planetary sciences 2Lasers: theory and modern applications A G 4Lessons learned from the space exploration 2Low-power radio design for IoT A D G 3Machine learning A E 7Mathematics of data: from theory to computation E 4Media security D F 6Microwaves A C F G 4Mobile networks A D 4Model predictive control D 3Multivariable control and coordination systems 4Nanoelectronics A C D 2Networked control systems D 3Optical communication A F G 3Optical detectors A G 3Optics laboratories I A G 3Optimal decision making D 4Optique III 4Photonic micro- and nanosystems A 2Photonic systems and technology A F G 4Physical models for micro and nanosystems A 2Physics of photonic semiconductors devices A G 4Physiologie par systèmes I C 4Power system restructuring and deregulation 3Power systems dynamics 3Project in the selected specialization A C D E F G 10Projet en technologies spatiales 12Quantum electrodynamics and quantum optics A G 4Quantum optics and quantum information A G 4Real-time embedded systems A D 4Scaling laws & simulations in micro & nanosystems C 4Selected topics in advanced optics A G 3Semiconductor devices II A B G 4Semiconductor physics and light-matter interaction 4Seminar in physiology and instrumentation 2Sensors in medical instrumentation C 3Signal processing for functional brain imaging F 3Smart sensors for IoT D 4Social media F 2Space mission design and operations 2Spacecraft avionics architectures 2Spacecraft design and system engineering 4Statistics for data science 6Summer workshop 4Systems and architectures for signal processing A 2TCP/IP networking 6Test of VLSI systems A 2Transdisciplinary project 4Wave propagation along transmission lines F 2

Specialization

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Projects A B C D E F G 16Project in Electrical Engineering 10Project in human and social sciences 6

Specialization

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Lab A B C D E F G 4Lab in acoustics 4Lab in data science D 4Lab in EDA based design D 4Lab in electrical energy systems 4Lab in microwaves A G 4Lab in signal and image processing D 4Lab on app development for tablets and smartphones D E 4