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EDEE - Electrical Engineering 2018-19

Core courses

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Active noise control    (Every 2 years. Next time: Spring 2021)
EE-706 
EDEE 
Lissek  
Multiple
2
 
 
 
 
Adaptation and Learning    (ROOM: DIA 004. On Monday (18.02 to 27.05) from 11.15 to 13.00 and from 14.15 to 16.00 Next time : Spring 2020 )
EE-621 
EL 
Sayed  
Multiple
4
 
 
 
 
Advanced Methods for Model Identification    (Every year. Next time: Fall 2019)
EE-607 
EDEE 
Frigo
Paolone  
Project report
4
 
 
 
 
Advanced microwaves for wireless communications    (Every 2 years. Next time: Spring 2021)
EE-712 
EDEE 
Skrivervik Favre  
Multiple
4
 
 
 
 
Advanced topics in electromagnetic compatibility    (Every 2 years.Next time: Spring 2020)
EE-708 
EDEE 
Rachidi-Haeri  
Oral presentation
2
 
 
 
 
Computational Optimal Transport    (Only this year: 24th, 25th, 26th June, 2019)
EE-622 
EDEE 
Frossard
Peyré  
Project report
1
 
 
 
 
Computational perception using multimodal sensors    (Every 2 years. Next time: Spring 2020.)
EE-704 
EDEE 
Odobez  
Multiple
4
 
 
 
 
Computational Social Media    (ROOM: ELG120. On Friday (22.02 to 31.05) from 10:15 to 13:00 Next time: Spring 2020)
EE-727 
EDEE 
Gatica-Perez  
Multiple
4
 
 
 
 
Deep Learning For Natural Language Processing    (Every 2 years. Next time: Fall 2019)
EE-608 
EDEE 
Henderson  
Multiple
4
 
 
 
 
Design and Optimization of Internet-of-Things Systems    (Every 2 years. Next time: Fall 2020)
EE-733 
EDEE 
Aminian
Atienza Alonso
Burg  
Oral presentation
4
 
 
 
 
Digital Speech and Audio Coding    (Every 2 years. Next time: Fall 2020)
EE-719 
EDEE 
Magimai Doss
Motlicek  
Multiple
4
 
 
 
 
EECS Seminar: Advanced Topics in Machine Learning    (Every year. Next time: Spring 2020 )
ENG-704 
EDEE 
Cevher
Faltings
Frossard
Jaggi
Sayed
West  
Autre (reprise)
2
 
 
 
 
Fundamentals in statistical pattern recognition    (Every 2 years. Next time: Spring 2021)
EE-612 
EDEE 
Anjos
Marcel  
Multiple
4
 
 
 
 
Human language technology: applications to information access    (Every 2 years. Next time: Fall 2020 )
EE-724 
EDEE 
Popescu-Belis  
Multiple
4
 
 
 
 
Linear system theory    (Every 2 years. Next time: Fall 2019)
EE-611 
EDEE 
Müllhaupt  
Multiple
4
 
 
 
 
Machine Learning for Engineers    (Every 2 years. Next time: Fall 2019)
EE-613 
EDEE 
Calinon
Fleuret
Odobez  
Multiple
4
 
 
 
 
Nanocomputing: Devices, Circuits and Architectures    (Every year. Next time: Spring 2019)
EE-606 
EDEE 
Carrara
Demarchi
Graziano
Piccinini  
Project report
1
 
 
 
 
Nonlinear signal modeling and prediction    (Every 2 years. Next time : Spring 2020)
EE-714 
EDEE 
Vesin  
Multiple
4
 
 
 
 
Optimal control    (Every 2 years. Next time : Spring 2020)
EE-715 
EDEE 
Faulwasser  
Project report
4
 
 
 
 
Sparse stochastic processes    (Every 2 years. Next time: Spring 2020)
EE-726 
EDEE 
Unser  
Multiple
4
 
 
 
 
Statistical Sequence Processing    (Every 2 years. Next time: Spring 2020.)
EE-605 
EDEE 
Bourlard  
During the semester
4
 
 
 
 
Theory and Methods for Reinforcement Learning    (Every 2 years. Next time: Spring 2019)
EE-618 
EDEE 
Cevher  
Project report
3
 

Other doctoral courses (EDOC)

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Advanced analog IC design    (August 27 to 31, 2018)
MICRO-700 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Advanced biomedical imaging methods and instrumentation    (Every year / Fall )
PHYS-719 
EDPY 
Gruetter  
Term paper
4
 
 
 
 
Electrochemical nano-bio-sensing and bio/CMOS interfaces    (Next time: June 11 to 14 + June 17, 2019)
MICRO-614 
EDMI 
Carrara  
Project report
1
 
 
 
 
Energy Autonomous Wireless Smart Systems    (Next time in February 2020 )
MICRO-617 
EDMI 
Briand
Burg
Dehollain
Maloberti  
Multiple
3
 
 
 
 
IC design for robustness    (August 27 to 31, 2018)
MICRO-704 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Low-voltage analog CMOS IC design    (June 24th to 28th, 2019. ROOM: ELA1 or ELA2.)
MICRO-705 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Nanoscale MOSFETs and beyond CMOS devices    (Next time in November 2020)
MICRO-611 
EDMI 
Fernandez-Bolanos Badia
Ionescu  
Oral
1
 
 
 
 
PLLs and clock & data recovery    (June 17th to 21st, 2019. ROOM: ELA1 or ELA2.)
MICRO-710 
EDMI 
Kayal  
Written & Oral
2
 
 
 
 
Transient and dynamic analysis of electric power systems    (next time Fall 2019)
EE-603 
EDEY 
Cherkaoui
Rachidi-Haeri  
Written
3
 

Master courses (.)

Courses
Code
 
Programs
 
Lecturers
Exam
 
Credits
 
 
 
 
 
Advanced probability and applications  
COM-417 
SC 
Lévêque  
 
Written
6
 
 
 
 
A Network Tour of Data Science  
EE-558 
EL 
Frossard
Vandergheynst  
 
During the semester
4
 
 
 
 
Applied data analysis  
CS-401 
SC 
West  
 
Written
6
 
 
 
 
Artificial neural networks  
CS-456 
IN 
Gerstner  
 
Written
4
 
 
 
 
Biological modeling of neural networks  
BIO-465 
IN 
Gerstner  
 
Written
4
 
 
 
 
Combinatorial optimization    (pas donné en 2019-20)
MATH-460 
MA 
 
 
Written
5
 
 
 
 
Data visualization  
COM-480 
SC 
Benzi  
 
During the semester
4
 
 
 
 
Deep learning  
EE-559 
EL 
Fleuret  
 
Written
4
 
 
 
 
Fundamentals in Systems Engineering    (pas donné en 2018-19)
ENG-421 
MTE 
 
 
During the semester
5
 
 
 
 
Fundamentals of biomedical imaging  
PHYS-438 
PH 
Gruetter  
 
Written
4
 
 
 
 
Machine learning    (The first course (September 18) will take place in the Forum of Rolex Learning Center)
CS-433 
IN 
Jaggi
Urbanke  
 
Written
7
 
 
 
 
Markov chains and algorithmic applications    (The same course was given in Spring 2015-2016 under the name "Random Walks".)
COM-516 
SC 
Lévêque
Macris  
 
Written
4
 
 
 
 
Mathematics of data: from theory to computation  
EE-556 
EL 
Cevher  
 
Written
4
 
 
 
 
Networks out of control    (Pas donné en 2018-19 - Cours biennal donné les années impaires )
COM-512 
SC 
 
 
Written
4
 
 
 
 
Optimization for machine learning  
CS-439 
IN 
Jaggi  
 
Written
4
 
 
 
 
Statistical machine learning  
MATH-412 
MA 
Thibaud  
 
Written
5
 
 
 
 
Statistics for data science  
MATH-413 
MA 
Panaretos  
 
Written
6
 
 
 
 
Understanding Statistics and Experimental Design    (The course is for MA students and in particular for PhD students.)
BIO-449 
SV 
Herzog  
 
Written
4
 
 
 
 
Wireless receivers: algorithms and architectures  
EE-442 
EL 
Burg  
 
During the semester
4
 

Pour plus d'information


Guichet étudiant
Ecole doctorale
Admission et inscription
Programme doctoral en génie électrique

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