diff --git a/courses.md b/courses.md index 508375b3..5a564abc 100644 --- a/courses.md +++ b/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**