diff --git a/_sources/courses.md b/_sources/courses.md
index 508375b3..5a564abc 100644
--- a/_sources/courses.md
+++ b/_sources/courses.md
@@ -84,34 +84,35 @@ Also see this list of [Bio-imaging courses offered by Quebec Universities](https
### Polytechnique Montréal
-| Code | Title / Notes | Lang. | Prof. |
-| ----------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------- | -------- | ------------------ |
-| [INF8245E](https://chandar-lab.github.io/INF8245E/) | Machine Learning | English | Sarath Chandar |
-| [INF8250E](https://chandar-lab.github.io/INF8953DE/) | Reinforcement Learning | English | Sarath Chandar |
-| MTH6312 | Méthodes statistiques d'apprentissage
(trés théorique)
| Français | Partovi Nia, Vahid |
-| MTH6305A | Reconnaissance de formes: approches statistiques | Français | |
-| [INF6953H](https://www.polymtl.ca/programmes/cours/cspec-deep-learning) | C.SPÉC.: Deep Learning | English | Chris Pal |
-| [MTH3302](http://www.polymtl.ca/etudes/cours/details.php?sigle=MTH3302) | Probabilité et statistiques pour intelligence artificielle | Français | Jonathan Jalbert |
-| [INF8215](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8215) | Intelligence artif.: méthodes et algorithmes | Français | Daniel Aloise |
-| [INF8225](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8225) | I.A.: tech. probabilistes et d'apprentissage
(Cours intense. Qui l'a pris: Andréanne Lemay)
| Français | Chris Pal |
+| Code | Title / Notes | Credits | Lang. | Prof. |
+| ----------------------------------------------------------------------- | -----------------------------------------------------------------------------| -------- | -------- | ------------------ |
+| [INF8245E](https://chandar-lab.github.io/INF8245E/) | Machine Learning | 3 | 🇬🇧 | Sarath Chandar |
+| [INF8250E](https://chandar-lab.github.io/INF8953DE/) | Reinforcement Learning | 3 | 🇬🇧 | Sarath Chandar |
+| [MTH6312](https://www.polymtl.ca/programmes/cours/methodes-statistiques-dapprentissage) | Méthodes statistiques d'apprentissage
_Trés théorique_ | 3 | 🇫🇷 | Luc Adjengue |
+| [MTH6305A](https://www.polymtl.ca/programmes/cours/reconn-de-formes-approches-statistiques) | Reconnaissance de formes: approches statistiques | 3 | 🇫🇷 | ? |
+| [INF6953H](https://www.polymtl.ca/programmes/cours/cspec-deep-learning) | C.SPÉC.: Deep Learning | 3 | 🇬🇧 | Chris Pal |
+| [MTH3302](http://www.polymtl.ca/etudes/cours/details.php?sigle=MTH3302) | Probabilité et statistiques pour intelligence artificielle | 3 | 🇫🇷 | Jonathan Jalbert |
+| [INF8215](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8215) | Intelligence artif.: méthodes et algorithmes | 3 | 🇫🇷 | Daniel Aloise |
+| [INF8225](http://www.polymtl.ca/etudes/cours/details.php?sigle=INF8225) | I.A.: tech. probabilistes et d'apprentissage
_Cours intense (Andréanne)_| 3 | 🇫🇷 | Chris Pal |
### Université de Montréal
-| Code | Title / Notes | Lang. | Prof |
-| ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------- | -------------------- |
-| [BIO 2043B](https://www.neuro.polymtl.ca/\_media/internal\_resources/pcbio2043b\_a16.pdf) | 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](https://sites.google.com/view/ift6268-a2020/course-description?authuser=0) | Self-Supervised Representation Learning | English | Aaron Courville |
-| [IFT6269](https://www.iro.umontreal.ca/\~slacoste/teaching/ift6269/A20/) | 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](https://sites.google.com/view/ift6135-h2021) | Representation Learning
(Given in Winter. Intense course but very rewarding. Who took: Naga Karthik)
| English | Aaron Courville |
-| [IFT6167](https://sites.google.com/view/nsl-course/) | Neural Scaling Laws and Foundation Models [outline](https://sites.google.com/view/nsl-course/course-description) (Easy course, project-based. Who took: Naga Karthik)
| English | Irina Rish |
-| [IFT6760](https://admission.umontreal.ca/rechercher/?q=ift+6760&target=admission&cx=011926736769028447783%3Aqlpu3so2kqq&ie=UTF-8) | Seminars in deep learning | ? | ? |
+| Code | Title / Notes | Credits | Lang. | Prof |
+| ----------------------------------------------------------------------------------------- | -----------------------------------------------------------| -------- | -------- | -------------------- |
+| [BIO2043B](https://admission.umontreal.ca/cours-et-horaires/cours/bio-2043/) | 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](https://admission.umontreal.ca/cours-et-horaires/cours/ift-6268/) | Self-Supervised Representation Learning | 4 | 🇬🇧 | Aaron Courville |
+| [IFT6269](https://www-labs.iro.umontreal.ca/~slacoste/teaching/ift6269/) | Probabilistic Graphical Models
_Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! (Naga)_ | 4 | 🇬🇧 | Simon Lacoste-Julien |
+| [IFT6135H](https://sites.google.com/view/ift6135b-h2023/course-description) | Representation Learning
_Intense course but very rewarding (Naga)_ | 4 | 🇬🇧 | Aaron Courville |
+| [IFT6167H](https://sites.google.com/view/nsl-course/schedule) | Neural Scaling Laws and Foundation Models
_Easy course, project-based (Naga)_ | 4 | 🇬🇧 | Irina Rish |
+| [IFT6758A](https://admission.umontreal.ca/cours-et-horaires/cours/ift-6758/) | Data Science | 4 | 🇬🇧 | Gauthier Gidel, Glen Berseth |
+| [IFT6760](https://admission.umontreal.ca/rechercher/?q=ift+6760&target=admission&cx=011926736769028447783%3Aqlpu3so2kqq&ie=UTF-8) | Seminars in deep learning | ? | ? |
### Mcgill
-| Code | Title / Notes | Lang. | Prof. |
-| ------------------------------------------------------------------ | ------------------------------------ | ------- | ------------ |
-| [BMDE 520](https://www.mcgill.ca/study/2021-2022/courses/bmde-520) | Machine Learning for Biomedical Data [outline](http://bzdok.lab.mcgill.ca/media/M4BD_course_outline_fall_2021.pdf)(Assignment heavy, no CV application Who took: Rohan Banerjee)
| English | Danilo Bzdok |
-| [COMP 551](https://www.mcgill.ca/study/2022-2023/courses/comp-551) | Applied Machine Learning [outline](http://www.reirab.com/Teaching/AML23/index.html)(great overview of classical ML but not much DL. No CV. Who took it: Nadia Blostein )
| English | Yue Li (Fall), Reihaneh Rabbany (Winter)|
+| Code | Title / Notes | Credits | Lang. | Prof. |
+| ------------------------------------------------------------------ | ------------------------------------- | ------- | ------- | ------------ |
+| [BMDE520A](https://www.mcgill.ca/study/2023-2024/courses/bmde-520) | Machine Learning for Biomedical Data
_Assignment heavy, no CV application (Rohan)_ | 3 | 🇬🇧 | Danilo Bzdok |
+| [COMP551AH](https://www.mcgill.ca/study/2023-2024/courses/comp-551) | Applied Machine Learning [outline](http://www.reirab.com/Teaching/AML23/index.html) _Great overview of classical ML but not much DL. No CV. (Nadia)_ |4 | 🇬🇧 | Yue Li (Fall), Reihaneh Rabbany (Winter)|
## **Computer Vision**
diff --git a/courses.html b/courses.html
index 71293cc9..84f008e0 100644
--- a/courses.html
+++ b/courses.html
@@ -700,6 +700,7 @@ Polytechnique MontréalCode |
Title / Notes |
+Credits |
Lang. |
Prof. |
@@ -707,42 +708,50 @@ Polytechnique MontréalINF8245E |
Machine Learning |
-English |
+3 |
+🇬🇧 |
Sarath Chandar |
INF8250E |
Reinforcement Learning |
-English |
+3 |
+🇬🇧 |
Sarath Chandar |
-MTH6312 |
-Méthodes statistiques d’apprentissage (trés théorique) |
-Français |
-Partovi Nia, Vahid |
+
MTH6312 |
+Méthodes statistiques d’apprentissage
Trés théorique |
+3 |
+🇫🇷 |
+Luc Adjengue |
-MTH6305A |
+
MTH6305A |
Reconnaissance de formes: approches statistiques |
-Français |
- |
+3 |
+🇫🇷 |
+? |
INF6953H |
C.SPÉC.: Deep Learning |
-English |
+3 |
+🇬🇧 |
Chris Pal |
MTH3302 |
Probabilité et statistiques pour intelligence artificielle |
-Français |
+3 |
+🇫🇷 |
Jonathan Jalbert |
INF8215 |
Intelligence artif.: méthodes et algorithmes |
-Français |
+3 |
+🇫🇷 |
Daniel Aloise |
INF8225 |
-I.A.: tech. probabilistes et d’apprentissage (Cours intense. Qui l’a pris: Andréanne Lemay) |
-Français |
+I.A.: tech. probabilistes et d’apprentissage
Cours intense (Andréanne) |
+3 |
+🇫🇷 |
Chris Pal |
@@ -755,40 +764,53 @@ Université de MontréalCode |
Title / Notes |
+Credits |
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 |
- |
+
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 |
+
IFT6268 |
Self-Supervised Representation Learning |
-English |
+4 |
+🇬🇧 |
Aaron Courville |
-IFT6269 |
-Probabilistic Graphical Models (Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! Who took: Naga Karthik) |
-English |
+
IFT6269 |
+Probabilistic Graphical Models
Given in Fall. Math heavy, assignment with proofs + coding exercises. Really interesting course! (Naga) |
+4 |
+🇬🇧 |
Simon Lacoste-Julien |
-IFT6135 |
-Representation Learning (Given in Winter. Intense course but very rewarding. Who took: Naga Karthik) |
-English |
+
IFT6135H |
+Representation Learning
Intense course but very rewarding (Naga) |
+4 |
+🇬🇧 |
Aaron Courville |
-IFT6167 |
-Neural Scaling Laws and Foundation Models outline (Easy course, project-based. Who took: Naga Karthik) |
-English |
+
IFT6167H |
+Neural Scaling Laws and Foundation Models
Easy course, project-based (Naga) |
+4 |
+🇬🇧 |
Irina Rish |
-IFT6760 |
+
IFT6758A |
+Data Science |
+4 |
+🇬🇧 |
+Gauthier Gidel, Glen Berseth |
+
+IFT6760 |
Seminars in deep learning |
? |
? |
+ |
@@ -800,19 +822,22 @@ Mcgill
Code |
Title / Notes |
+Credits |
Lang. |
Prof. |
|---|
-BMDE 520 |
-Machine Learning for Biomedical Data outline (Assignment heavy, no CV application Who took: Rohan Banerjee) |
-English |
+
BMDE520A |
+Machine Learning for Biomedical Data
Assignment heavy, no CV application (Rohan) |
+3 |
+🇬🇧 |
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 |
+
COMP551AH |
+Applied Machine Learning outline Great overview of classical ML but not much DL. No CV. (Nadia) |
+4 |
+🇬🇧 |
Yue Li (Fall), Reihaneh Rabbany (Winter) |
diff --git a/searchindex.js b/searchindex.js
index 30fb47fb..2cd2c600 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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"Acquisition": [[76, "acquisition"]], "Add LINUX machine to GRAMES ": [[85, "add-linux-machine-to-grames"]], "Add PolyMTL email to the macOS Mail app": [[87, "add-polymtl-email-to-the-macos-mail-app"]], "Add SSH key": [[40, "add-ssh-key"]], "Add tag": [[40, "add-tag"]], "Addressing Reviewer Comments": [[111, "addressing-reviewer-comments"]], "Admin": [[15, "admin"]], "Admin guide for data.neuro.polymtl.ca": [[28, null]], "Admission at Polytechnique": [[22, "admission-at-polytechnique"]], "Advanced Normalization Tools (ANTs)": [[43, null]], "Affiliation with CHU Sainte-Justine": [[83, "affiliation-with-chu-sainte-justine"]], "Affiliation with Mila": [[83, "affiliation-with-mila"]], "Affiliations": [[111, "affiliations"]], "Affine-only point-match transformation": [[43, "affine-only-point-match-transformation"]], "Amending Commits": [[40, "amending-commits"]], "Anatomical Priors:": [[3, "anatomical-priors"]], "Anima": [[44, null]], "Ants & c3d": [[67, "ants-c3d"]], "Archive Utility: 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