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curriculum [2018/09/18 14:56] cani [Transvere courses and projects (September 2018 to March 2019)] |
curriculum [2019/04/09 15:13] scornet [MASTER 1] |
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**INF633 - Advanced 3D Graphics (24h, 2 ECTS), Marie-Paule Cani (EP), Julien Pettré (Inria), Pierre Ecormier (EP)** (contact: Marie-Paule.Cani@polytechnique.edu) | **INF633 - Advanced 3D Graphics (24h, 2 ECTS), Marie-Paule Cani (EP), Julien Pettré (Inria), Pierre Ecormier (EP)** (contact: Marie-Paule.Cani@polytechnique.edu) | ||
- | Computer graphics tackles the creation of 3D contents, from object prototypes to animated scenes. The course will present recent advances in the area. We will cover interactive content creation based on smart geometric models embedding knowledge, the design of layered models for the efficient simulation of natural phenomena and novel, expressive techniques for creating and populating animated virtual worlds. | + | Computer graphics tackles the creation of 3D contents, from object prototypes to animated scenes. This course will focus on the interactions between Computer Graphics and Artificial Intelligence, which recently lead to a number of advances. In particular, we will cover "Creative AI", ie. how interactive content creation can be enhanced using smart graphical models embedding knowledge, as well as the combination of 3D Graphics, AI and learning for the animation of virtual, autonomous creatures. |
**INF634 - Computer Vision (24h, 2 ECTS), Renaud Keriven (EP & Bentley systems)** (contact: Renaud.Keriven@bentley.com) | **INF634 - Computer Vision (24h, 2 ECTS), Renaud Keriven (EP & Bentley systems)** (contact: Renaud.Keriven@bentley.com) | ||
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==== Scientific Courses, period 2 (January - March 2019) ==== | ==== Scientific Courses, period 2 (January - March 2019) ==== | ||
- | **MAP641 - Reinforcement Learning (48h, 5 ECTS), Odalric-Ambrym Maillard (Inria Lille), Bruno Scherrer (Inria), Olivier Pietquin (Google Brain) ** (contact: odalricambrym.maillard@inria.fr) | + | **MAP641 - Reinforcement Learning (48h, 5 ECTS), Odalric-Ambrym Maillard (Inria Lille), Bruno Scherrer (Inria Nancy), Olivier Pietquin (Google Brain) ** (contact: odalricambrym.maillard@inria.fr) |
Reinforcement learning aims at finding at each step of a process the best action to take in order to minimize some regret function. This course will introduce the general notions of reinforcement learning and will present several online algorithms that can be used in real-time to take actions. The specificity and the performance of the different algorithms will be discussed in detail. | Reinforcement learning aims at finding at each step of a process the best action to take in order to minimize some regret function. This course will introduce the general notions of reinforcement learning and will present several online algorithms that can be used in real-time to take actions. The specificity and the performance of the different algorithms will be discussed in detail. | ||
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===== MASTER 1 ===== | ===== MASTER 1 ===== | ||
- | === To open as well in 2018-2019 === | + | All courses are 36h and will represent 4 ECTS. |
* MAP538: Refresher in statistics (one week, at the beginning of the year; Alain Durmus, CMLA) | * MAP538: Refresher in statistics (one week, at the beginning of the year; Alain Durmus, CMLA) | ||
+ | * INF...: Refresher in Computer science (one week, or during the first week of the first period, to be confirmed) | ||
+ | |||
- | All courses are 36h and will represent 4 ECTS. | ||
- | The two first courses for each period are mandatory. Each student should choose two courses among the three other ones. Besides, there is a mandatory MIE course in each of the first two periods. | ||
=== Period 1 === | === Period 1 === | ||
- | * INF554 - Machine Learning I (Michalis Vazirgiannis, EP) | + | + Mandatory scientific courses: |
- | * INF555 - Constraint-based Modeling and Algorithms for Decision Making Problems (new course, François Fages, Sylvain Soliman, Inria) | + | |
- | * INF573 - Image analysis (Renaud Keriven, EP) | + | |
- | * INF574 - Digital representation and analysis of shapes (Maks Ovsjanikov, Luca Castelli EP) | + | |
- | * MAP555 - Signal and sound processing (Olivier Rioul, Telecom ParisTech) | + | |
- | + | + | * INF554 - Machine Learning I (Michalis Vazirgiannis, EP, 4ECTS) |
- | * MIE556 - Marketing and Strategy Introduction, P. Ginier-Gillet | + | * INF555 - Constraint-based Modeling and Algorithms for Decision Making Problems (new course, François Fages, Sylvain Soliman, Inria, 4ECTS) |
- | + | ||
+ | + Two courses among the following: | ||
+ | |||
+ | * INF573 - Image Analysis and Computer Vision (Renaud Keriven, EP, 4ECTS) | ||
+ | * INF574 - Digital representation and analysis of shapes (Maks Ovsjanikov, Luca Castelli, EP, 4ECTS) | ||
+ | * MAP555 - Signal processing (Olivier Rioul, Telecom ParisTech, 4ECTS) | ||
+ | |||
+ | + Mandatory non-scientific courses | ||
+ | |||
+ | * MIE556 - Marketing and Strategy Introduction (P. Ginier-Gillet, Flexion, 4ECTS) | ||
+ | * Sport (1 ECTS) | ||
+ | * Humanities (1.5 ECTS) | ||
+ | * Foreign languages (1.5 ECTS) | ||
+ | |||
+ | |||
=== Period 2 === | === Period 2 === | ||
- | * MAP569 - Machine Learning 2 (Erwan Le Pennec, EP) | ||
- | * INF585 - Computer animation (new course, Damien Rohmer, EP) | ||
- | * INF562 - Algorithmic geometry: from theory to applications (Luca Castelli, EP) | ||
- | * INF584 - Image synthesis: Theory and practice (Tamy Boubekeur, Telecom ParisTech) | ||
- | * MAP566 - Statistics in action (Marc Lavielle, Inria) | ||
- | + | + | + Mandatory scientific courses: |
+ | |||
+ | * MAP569 - Machine Learning 2 (Erwan Le Pennec, EP, 4ECTS) | ||
+ | * INF585 - Computer animation (Damien Rohmer, EP, 4ECTS) | ||
+ | |||
+ | + Two courses among the following: | ||
+ | |||
+ | * INF562 - Algorithmic geometry: from theory to applications (Luca Castelli, EP, 4ECTS) | ||
+ | * INF584 - Image synthesis: Theory and practice (Tamy Boubekeur, Telecom ParisTech, 4ECTS) | ||
+ | * MAP566 - Statistics in action (Marc Lavielle, Inria, 4ECTS) | ||
+ | * INF581 - Advanced Topics in Artificial Intelligence (Michalis Vazirgiannis, EP, 4ECTS) | ||
+ | |||
+ | + Mandatory non-scientific courses | ||
- | * MIE564 - Technology-based entrepreneurship and new business creation | + | * MIE564 - Technology-based entrepreneurship and new business creation (Erno Tornikoski, University of Exeter Business School) |
+ | * Sport (1 ECTS) | ||
+ | * Humanities (1.5 ECTS) | ||
+ | * Foreign languages (1.5 ECTS) | ||
=== Period 3 === | === Period 3 === | ||
- | MAP/INF590 - Internship (4 to 6 months) | + | MAP/INF590 - Internship (4 to 6 months, 30 ECTS) |