curriculum
Differences
This shows you the differences between two versions of the page.
| Both sides previous revision Previous revision | Next revision Both sides next revision | ||
|
curriculum [2023/04/21 09:47] cani [Detailed curriculum] |
curriculum [2023/04/21 09:48] cani [MASTER 1] moved before "Master 2" |
||
|---|---|---|---|
| Line 115: | Line 115: | ||
| MAP/INF690 - Internship: 5 to 6 months project, either in the R&D department of a company or in a research lab. | MAP/INF690 - Internship: 5 to 6 months project, either in the R&D department of a company or in a research lab. | ||
| - | ===== MASTER 1 ===== | ||
| - | All courses are 36h and will represent 4 ECTS. | ||
| - | |||
| - | * MAP538: Refresher in statistics (two days, in September; Maxime Sangnier <maxime.sangnier@lpsm.paris>) | ||
| - | * INF538: Refresher in Computer science (two days, in September; XXXX Ask Amal Dev Parrakat?) | ||
| - | |||
| - | === Period 1 === | ||
| - | |||
| - | + Scientific courses: | ||
| - | |||
| - | Mandatory: | ||
| - | * Digital representation and analysis of shapes (INF574, Mathieu Desbrun, Pooran Memari, EP & Inria) | ||
| - | |||
| - | 1 course among: | ||
| - | * Machine Learning I (INF554, Michalis Vazirgiannis, EP) | ||
| - | * Foundations of Machine Learning (MAP553, Erwan Le Pennec, EP) | ||
| - | |||
| - | 2 courses among: | ||
| - | * Image Analysis and Computer Vision (INF573, Mathieu Brédif, EP & IGN) | ||
| - | * Constraint-based Modeling and Algorithms for Decision Making Problems (INF555, François Fages, EP & Inria) | ||
| - | * Signal processing (MAP555, Rémi Flamary, EP) | ||
| - | * Topological data analysis (INF556, Steve Oudot, EP & Inria) | ||
| - | |||
| - | + Mandatory non-scientific courses | ||
| - | |||
| - | * Fundamental of Strategy and Innovation (MIE555) or Marketing and Strategy Introduction (MIE556, Workload ++) | ||
| - | * Sport | ||
| - | * Humanities | ||
| - | * Foreign languages | ||
| - | |||
| - | |||
| - | === Period 2 === | ||
| - | |||
| - | Mandatory course: | ||
| - | * Advanced Machine Learning and autonomous agents (INF581, Jesse Read, EP) | ||
| - | * Computer animation (INF585, Damien Rohmer, EP) | ||
| - | |||
| - | 2 scientific courses among | ||
| - | * Regression (MAP569, Karim Lounici, EP, difficult math course, with pre-requisit in mathematical fundations of ML, see also the book (2018) Foundations of Machine Learning; please contact the teacher before the beginning of the course) | ||
| - | * Statistics in action (MAP566, Julien Chiquet, EP & Agro Paris Tech) | ||
| - | * Real-time AI in Video Games: decisive & collaborative actions (INF584A, David Bilemdjian, Chaire Ubisoft) | ||
| - | * Algorithmic geometry: from theory to applications (INF562, Luca Castelli, EP) | ||
| - | * Image synthesis: Theory and practice (INF584, Tamy Boubekeur, Telecom ParisTech) | ||
| - | |||
| - | + Mandatory non-scientific courses | ||
| - | * Entrepreneurship for sustainability (MIE568, wednesday morning), or Managing sustainable innovation (MIE565, friday afternoon) | ||
| - | * Sport | ||
| - | * Humanities | ||
| - | * Foreign languages | ||
| - | |||
| - | === Period 3 === | ||
| - | |||
| - | MAP/INF590 - Internship (4 to 6 months) | ||
curriculum.txt · Last modified: 2023/06/22 18:41 by scornet
Page Tools
