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🎓 University Courses

Admission at Polytechnique

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

Requirements for Polytechnique

::::{tab-set} :::{tab-item} MSc

  • 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 Montréal.

Writing your thesis

See this link.

Jury

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

:::{tab-item} PhD

  • 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 ([email protected]). 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.
There exist an agreement between universities across Quebec, called [CREPUQ](https://www.bci-qc.ca/en/aehe/agreement/), 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 Règlements 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 Credits Lang. Prof.
GBM8378 Principes d'imagerie biomédicale 3 🇫🇷 Julien Cohen-Adad
GBM6103A Traitement d'images et signaux biomédicaux 3 🇫🇷 Goussard
GBM8770 Traitement numérique d'images médicales 3 🇫🇷 Benjamin De Leener
GBM6330 Technologies biomédicales émergentes 3 🇬🇧 Nikola Stikov
GBM6953EE C.SPEC. Brainhack School
Must have!		 3 🇬🇧 Eva Alonso Ortiz

Université de Montréal

Code Title / Notes Credits Lang. Prof.
PSY6983 Projet en sciences des données neuronales
Excellent! Coding for open-science with neuro application (Andjela)		 3 🇫🇷 ?
PHY2300 Physique médicale 3 🇫🇷 ?
PHY6985 Imagerie en physique médicale 1 3 🇫🇷 ?
PHY6990 Imagerie en physique médicale 2 3 🇫🇷 ?
PSY3018B Méthodes en neurosciences cognitives 2 3 🇫🇷 Pierre L Bellec

McGill

Code Title / Notes Credits Lang. Prof.
MDPH607 Introduction to Medical Imaging 3 🇬🇧 Ives Levesque
BMDE650 Advanced Medical Imaging 3 🇬🇧 Louis Collins, Amir Shmuel
BMDE660 Advanced MR Imaging and Spectroscopy of the Brain
Excellent but need to put in extra hours (Nadia, Andjela)		 3 🇬🇧 Christine Tardif, David Rudko
NEUR606 Methods in Neuroimaging 3 🇬🇧 Nathan Spreng
NEUR602 Current Topics in Neuroscience 3 🇬🇧 ?
QLSC612 Fundamentals for Neuro Data Science
1-week 8am-5pm summer intensive. Manageable and pairs well with Brainhack summer course (Andjela)		 3 🇬🇧 ?

Machine Learning / Statistics

Polytechnique Montréal

Code Title / Notes Credits Lang. Prof.
INF8245E Machine Learning 3 🇬🇧 Sarath Chandar
INF8250E Reinforcement Learning 3 🇬🇧 Sarath Chandar
MTH6312 Méthodes statistiques d'apprentissage
Trés théorique		 3 🇫🇷 Luc Adjengue
MTH6305A Reconnaissance de formes: approches statistiques 3 🇫🇷 ?
INF6953H C.SPÉC.: Deep Learning 3 🇬🇧 Chris Pal
MTH3302 Probabilité et statistiques pour intelligence artificielle 3 🇫🇷 Jonathan Jalbert
INF8215 Intelligence artif.: méthodes et algorithmes 3 🇫🇷 Daniel Aloise
INF8225 I.A.: tech. probabilistes et d'apprentissage
Cours intense (Andréanne)		 3 🇫🇷 Chris Pal

Université de Montréal

Code Title / Notes Credits Lang. Prof
BIO2043B Statistique pratique pour sciences de la vie
First 4 classes not really relevant, Last 4 classes interesting, on Pearson, Kendall correlation, Multiple Regressions, ANOVA (Maxime)		 3 🇫🇷 ?
IFT6268 Self-Supervised Representation Learning 4 🇬🇧 Aaron Courville
IFT6269 Probabilistic Graphical Models
Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! (Naga)		 4 🇬🇧 Simon Lacoste-Julien
IFT6135H Representation Learning
Intense course but very rewarding (Naga)		 4 🇬🇧 Aaron Courville
IFT6167H Neural Scaling Laws and Foundation Models
Easy course, project-based (Naga)		 4 🇬🇧 Irina Rish
IFT6758A Data Science 4 🇬🇧 Gauthier Gidel, Glen Berseth
IFT6760 Seminars in deep learning ? ?

Mcgill

Code Title / Notes Credits Lang. Prof.
BMDE520A Machine Learning for Biomedical Data
Assignment heavy, no CV application (Rohan)		 3 🇬🇧 Danilo Bzdok
COMP551AH Applied Machine Learning outline
Great overview of classical ML but not much DL. No CV. (Nadia)		 4 🇬🇧 Yue Li (Fall), Reihaneh Rabbany (Winter)

Computer Vision

Polytechnique Montréal

Code Title / Notes Credits Lang. Prof.
GBM6700 Reconstruction 3D à partir d'images médicales Curriculum 3 🇫🇷 Cheriet
ELE8812 Traitement et analyse d'images 3 🇫🇷 Eva Alonso Ortiz

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

Biomedical

Polytechnique Montréal

Code Title / Notes Lang. Prof.
GBM8871

Biomicrosystèmes

(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 Sébastien Francoeur

Instrumentation / RF Coils

Polytechnique Montréal

Code Title / Notes Lang. Prof.
ELE1600A Circuit électrique 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 systèmes 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 réseau 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