🎓 University Courses#

Admission at Polytechnique#

https://www.polymtl.ca/futur/es/admission

Requirements for Polytechnique#

  • Details of the program on the Polymtl website.

  • The rules say that “At most 6 credits can be undergraduate courses and at least 8 credits must be courses in the field of biomedical engineering or other and approved by the CPÉS”, but this is a relaxed rules. Courses in computer science, deep learning, etc. are accepted.

  • For exemption of additional fees as foreign student, you need at least 6 credits completed, of grad courses at Polytechnique MontrĂ©al.

Writing your thesis

See this link.

Jury

Please refer to the RÚglements généraux des études supérieures (53.4 COMPOSITION ET NOMINATION DU JURY).

  • Details of the program on the Polymtl website.

  • Candidates who already took courses in a previous graduate program (eg: Master) can obtain an exemption for some of the courses listed in the “Plan de cours” at Polytechnique. For more details, see article 73.1.1. To request the exemption, ask the form to Amal Bennani (biomedical-es@polymtl.ca). The procedure is to: (i) Fill up the “Plan de cours” with ONLY the courses to take, (ii) Fill up the document “EXEMPTION DE CREDITS DE COURS”, and list the courses that were taken at a previous graduate program, (iii) Send both documents to Amal.

Important

There exist an agreement between universities across Quebec, called CREPUQ, that allow students to transfer academic credits between institutions. So for example, you could attend a course at UdeM or McGill and receive the credits at Polytechnique Montreal as part of your gradutate program.

Writing your thesis

See this link.

Jury

Please refer to the RÚglements généraux des études supérieures (76.4 COMPOSITION ET NOMINATION DU JURY).

Medical imaging#

Also see this list of Bio-imaging courses offered by Quebec Universities.

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

GBM8378

Principes d’imagerie biomĂ©dicale

(3 credits)

Français

Julien Cohen-Adad

GBM6103A

Traitement d’images et signaux biomĂ©dicaux

Français

Goussard

GBM8770

Traitement numĂ©rique d’images mĂ©dicales

Français

Benjamin De Leener

GBM6330

Technologies biomédicales émergentes

(3 credits)

Français

Nikola Stikov

ELE8812

Traitement et analyse d’images

(3 credits)

Français

Eva Alonso Ortiz

GBM6953EE

C.SPEC. BRAINHACK SCHOOL

(3 credits)

English

Eva Alonso Ortiz

Université de Montréal#

Code

Title / Notes

Lang.

Prof.

PSY6983

Projet en sciences des données neuronales

(VERY GOOD!!!! Coding for open-science with neuro application. Who took it: Andjela Dimitrijevic)

https://school.brainhackmtl.org/fr/

Français

PHY2300

Physique médicale

Français

Beaudoin

PHY6985

Imagerie en physique médicale 1

Français

PHY6990

Imagerie en physique médicale 2

Français

INF6141

Reconnaissance de formes

(Plan de cours)

Français

RAD6005

Introduction à l’IRMf

Français

NSC6084

Neurosciences computationnelles

Plan de cours

Français

McGill#

Code

Title / Notes

Lang.

Prof.

MDPH 607

Introduction to Medical Imaging (⚠ it is important to contact the program administrator where the course is held to ensure that the request for inter-university CREPUQ is processed).

English

Ives Levesque

BMDE 660

Advanced MR Imaging and Spectroscopy of the Brain

(MR theoretical, need to put in extra hours. Learn a lot. Who took it: Nadia Blostein, Andjela Dimitrijevic)

English

Christine Tardif
James Patrick Near
David Rudko

ECSE 529

Computer and Biological Vision

(Fall 2013)

English

Martin Levine

NEUR 603

Computational Neuroscience

(Winter 2014)

Curriculum 2014

English

Chris Pack
Amir Shmuel
Daniel Guitton

NEUR 570

Human Brain Imaging

(Fall 2013)

Curriculum 2013

English

Shmuel
Schweinhardt
Naryanan

BMDE 650

Advanced Medical Imaging

(Winter 2014)

Curriculum 2013

English

Louis Collins

BMDE 610

Functional Neuroimaging Fusion

(Winter 2014)

English

Christophe Grova

NEUR 602

Current Topics in Neuroscience

English

NEUR 602 Current Topics in Neuroscience

QLSC 612

Fundamentals for Neuro Data Science

(1-week 8am-5pm summer intensive. Manageable and pairs well with Brainhack summer course. Who took it: Andjela Dimitrijevic)

English

Machine Learning / Statistics#

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

INF8245E

Machine Learning

English

Sarath Chandar

INF8250E

Reinforcement Learning

English

Sarath Chandar

MTH6312

MĂ©thodes statistiques d’apprentissage

(trés théorique)

Français

Partovi Nia, Vahid

MTH6305A

Reconnaissance de formes: approches statistiques

Français

INF6953H

C.SPÉC.: Deep Learning

English

Chris Pal

MTH3302

Probabilité et statistiques pour intelligence artificielle

Français

Jonathan Jalbert

INF8215

Intelligence artif.: méthodes et algorithmes

Français

Daniel Aloise

INF8225

I.A.: tech. probabilistes et d’apprentissage

(Cours intense. Qui l’a pris: AndrĂ©anne Lemay)

Français

Chris Pal

Université de Montréal#

Code

Title / Notes

Lang.

Prof

BIO 2043B

Statistique pratique pour sciences de la vie

First 4 courses not really relevant

Last 4 courses interesting

(Pearson correlation, Kendall correlation,

Simple and Multiple Regression, ANOVA)

Français

IFT6268

Self-Supervised Representation Learning

English

Aaron Courville

IFT6269

Probabilistic Graphical Models

(Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! Who took: Naga Karthik)

English

Simon Lacoste-Julien

IFT6135

Representation Learning

(Given in Winter. Intense course but very rewarding. Who took: Naga Karthik)

English

Aaron Courville

IFT6167

Neural Scaling Laws and Foundation Models outline

(Easy course, project-based. Who took: Naga Karthik)

English

Irina Rish

IFT6760

Seminars in deep learning

?

?

Mcgill#

Code

Title / Notes

Lang.

Prof.

BMDE 520

Machine Learning for Biomedical Data outline

(Assignment heavy, no CV application Who took: Rohan Banerjee)

English

Danilo Bzdok

COMP 551

Applied Machine Learning outline

(great overview of classical ML but not much DL. No CV. Who took it: Nadia Blostein )

English

Yue Li (Fall), Reihaneh Rabbany (Winter)

Computer Vision#

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

GBM6700

Reconstruction 3D Ă  partir d’images mĂ©dicales

Curriculum 2013

Français

Cheriet

Université de Montréal#

Code

Title / Notes

Lang.

Prof.

IFT6145

3D Vision (Vision tridimensionnelle)

French

Sebastien Roy

McGill#

Electrical and Computer Engineering Course List: http://www.mcgill.ca/ece/programs/coursesoffered/500

Code

Title / Notes

Lang.

Prof.

ECSE 683

Topics in Vision and Robotics

(Fall 2013)

English

Frank Ferrie

ECSE 626

Statistical Methods in Computer Vision

Slides 2019

(Requires a fair bit of involvement but very interesting and cutting edge. Who took it: Charley Gros, Rohan Banerjee, Kiri Stern)

English

Tal Arbel

COMP 424

Introduction to Artificial Intelligence

English

Doina Precup

COMP 558

Fundamentals of Computer Vision

(Fall 2013)

English

Kaleem Siddiqi

COMP 766

Shape Analysis in Computer Vision

(Winter 2014)

English

Kaleem Siddiqi

Programming & Software#

  • INF1010 - Programmation orientĂ© objet (C++)

Biomedical#

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

GBM8871

BiomicrosystĂšmes

(time-consuming)

Français

Thomas Gervais

GBM8802

Biophotonique

(time-consuming)

Français

Boudoux

GBM8605

Médecine régénératrice & nanomédecine

(not hard, a bit time-consuming)

Français

Buchmann

PHS3210

Spectroscopie

(difficult)

Français

SĂ©bastien Francoeur

Instrumentation / RF Coils#

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

ELE1600A

Circuit Ă©lectrique

Français

Chahé Nerguizian

GBM2330

Instrumentation et mesures biomédicales

Français

Nikola Stikov

ELE6503

Dispositifs et circuits actifs micro-ondes

Français

Jean-Jacques Laurin

ELE6506

Antennes et propagation

Français

Jean-Jacques Laurin

ELE4501A

Circuits et systÚmes communications radiofréquences

(laboratoire simulation ADS Agilent)

Français

Ke Wu

ELE6502

Instrumentation automatisée en micro-ondes

Français

Cevdet Akyel

ELE8500

Circuits Passifs Micro-ondes

(laboratoires d’initiation aux analyseurs de rĂ©seau et de spectre)

Français

Ke Wu

McGill#

Code

Title / Notes

Lang.

Prof.

BMDE501

Selected Topics in Biomedical Engineering

(3 credits)

English

BMDE503

Biomedical Instrumentation

(3 credits)

English

Language Courses#

Polytechnique Montréal#

Code

Title / Notes

Lang.

Prof.

SSH3351

Anglais pour ingenieurs 1

Français

SSH3352

Anglais pour ingenieurs 2

Français

McGill#

Code

Title / Notes

Lang.

Prof.

Graphos

Academic writing

English

Ethics#