EDEE Course book

EDEE - Electrical Engineering 2020-21    télécharger le plan en pdf

Core courses

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Advanced Methods for Model Identification    (Next time: Fall 2020)
EE-607 
EDEE 
Frigo
Paolone  
Project report
4
 
 
 
 
Advanced microwaves for wireless communications    (Next time: Spring 2023)
EE-712 
EDEE 
Skrivervik Favre  
Multiple
4
 
 
 
 
Advanced topics in electromagnetic compatibility    (Next time: Spring 2022)
EE-708 
EDEE 
Rachidi-Haeri  
Oral presentation
2
 
 
 
 
Advanced topics in network neuroscience    (Next time: Fall 2020)
EE-619 
EDEE 
Amico  
Written
2
 
 
 
 
Deep Learning For Natural Language Processing    (Next time: Fall 2021)
EE-608 
EDEE 
Henderson  
Multiple
4
 
 
 
 
Design and Optimization of Internet-of-Things Systems    (Next time: Fall 2020)
EE-733 
EDEE 
Aminian
Atienza Alonso
Burg  
Oral presentation
4
 
 
 
 
Digital Speech and Audio Coding    (Next time: Fall 2020)
EE-719 
EDEE 
Magimai Doss
Motlicek  
Multiple
4
 
 
 
 
EECS Seminar: Advanced Topics in Machine Learning    (Next time: Spring 2021 )
ENG-704 
EDEE 
Cevher
Faltings
Flammarion
Frossard
Jaggi
Kiyavash
Sayed
West  
Autre (reprise)
2
 
 
 
 
Fundamentals in statistical pattern recognition    (Next time: Spring 2021)
EE-612 
EDEE 
Anjos
Marcel  
Multiple
4
 
 
 
 
Human language technology: applications to information access    (Next time: Spring 2022)
EE-724 
EDEE 
Popescu-Belis  
Multiple
4
 
 
 
 
Learning to control    (May 3rd - 7th 2021)
EE-717 
EDEE 
Formentin  
Oral presentation
2
 
 
 
 
Linear system theory    (Next time: Fall 2020 )
EE-611 
EDEE 
Müllhaupt  
Multiple
4
 
 
 
 
Machine Learning for Engineers    (Next time: Fall 2021)
EE-613 
EDEE 
Calinon
Fleuret
Odobez  
Multiple
4
 
 
 
 
Nonlinear signal modeling and prediction    (Next time : Fall 2022)
EE-714 
EDEE 
Vesin  
Multiple
4
 
 
 
 
Optimal control    (Next time : Spring 2022)
EE-715 
EDEE 
Faulwasser  
Project report
4
 
 
 
 
Perception and learning from multimodal sensors    (Next time: Spring 2021)
EE-623 
EDEE 
Odobez  
Written & Oral
4
 
 
 
 
Sparse stochastic processes    (Next time: Fall 2021)
EE-726 
EDEE 
Unser  
Multiple
4
 
 
 
 
Statistical Sequence Processing    (Next time: Spring 2022)
EE-605 
EDEE 
Bourlard  
During the semester
4
 
 
 
 
Theory and Methods for Reinforcement Learning    (Next time: Spring 2022)
EE-618 
EDEE 
Cevher  
Project report
3
 

Other doctoral courses (EDOC)

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Advanced analog IC design    (Next time: Summer 2021)
MICRO-700 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Advanced biomedical imaging methods and instrumentation    (Next time: Fall )
PHYS-719 
EDPY 
Gruetter  
Term paper
4
 
 
 
 
Electrochemical nano-bio-sensing and bio/CMOS interfaces    (Next time: Spring 2021)
MICRO-614 
EDMI 
Carrara  
Project report
1
 
 
 
 
Energy Autonomous Wireless Smart Systems    (Next time: February 2022)
MICRO-617 
EDMI 
Burg
Dehollain
Maloberti
Skrivervik Favre  
Multiple
3
 
 
 
 
IC design for robustness    (Next time: Summer 2021)
MICRO-704 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Low-voltage analog CMOS IC design    (Next time: Spring 2021)
MICRO-705 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Nanoscale MOSFETs and beyond CMOS devices    (November 10th to 13th, 2020)
MICRO-611 
EDMI 
Ionescu
Moselund  
Oral
1
 
 
 
 
PLLs and clock & data recovery    (Next time: Spring 2021)
MICRO-710 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Scientific programming for Engineers    (Every year / Next time: Fall 2020 online course)
MATH-611 
EDCE 
Anciaux  
Project report
4
 
 
 
 
Transient and dynamic analysis of electric power systems    (Next time: Winter 2021)
EE-603 
EDEY 
Cherkaoui
Rachidi-Haeri  
Written
3
 

External courses (.)

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Summer School on Numerical Modelling for Applied Superconductivity    (Next time: June 7th - 11th 2021 - Registration via https://www.epfl.ch/labs/appliedsc/school/ only)
CS-803 
EDIC 
Dutoit  
Written & Oral
2
 

Master courses (.)

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Adaptation and Learning  
EE-566 
EL 
Sayed  
 
Written
4
 
 
 
 
Advanced probability and applications  
COM-417 
SC 
Lévêque  
 
Written
6
 
 
 
 
Applied data analysis  
CS-401 
SC 
West  
 
Written
6
 
 
 
 
Artificial neural networks  
CS-456 
IN 
Gerstner  
 
Written
5
 
 
 
 
Biological modeling of neural networks  
BIO-465 
IN 
Gerstner  
 
Written
4
 
 
 
 
Computational Social Media  
DH-500 
DH 
Gatica-Perez  
During the semester
4
 
 
 
 
Data visualization  
COM-480 
SC 
Vuillon  
 
During the semester
4
 
 
 
 
Deep learning  
EE-559 
EL 
Fleuret  
 
Written
4
 
 
 
 
Fundamentals in systems engineering  
ENG-421 
MTE 
de Weck  
 
During the semester
5
 
 
 
 
Fundamentals of biomedical imaging  
PHYS-438 
PH 
Gruetter  
 
Written
4
 
 
 
 
Machine learning  
CS-433 
IN 
Flammarion
Jaggi  
 
Written
7
 
 
 
 
Markov chains and algorithmic applications  
COM-516 
SC 
Lévêque
Macris  
 
Written
4
 
 
 
 
Mathematics of data: from theory to computation  
EE-556 
EL 
Cevher  
 
Written
5
 
 
 
 
Networks out of control    (Cours biennal (pas donné en 2020-21))
COM-512 
SC 
 
 
Written
4
 
 
 
 
Optimization for machine learning  
CS-439 
IN 
Flammarion
Jaggi  
 
Written
5
 
 
 
 
Statistical machine learning  
MATH-412 
MA 
Obozinski  
 
Written
5
 
 
 
 
Statistics for data science  
MATH-413 
MA 
Olhede  
 
Written
6
 
 
 
 
Understanding statistics and experimental design  
BIO-449 
SV 
Herzog  
 
Written
4
 
 
 
 
Wireless receivers: algorithms and architectures  
EE-442 
EL 
Burg  
 
Written
4