curriculum
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curriculum [2018/09/18 14:55] cani [Transvere courses and projects (September 2018 to March 2019)] |
curriculum [2019/04/09 15:14] 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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| **MIE630 - Seminar on ethical issues, law and novel applications of AI (3 ECTS):** Every Tuesday, 2pm-3:30pm | **MIE630 - Seminar on ethical issues, law and novel applications of AI (3 ECTS):** Every Tuesday, 2pm-3:30pm | ||
| - | Students will be sensitized to ethical issues and law, and introduced to novel application of artificial intelligence and visual computing through a weekly seminar with key-note talks from both institutional and industrial partners. | + | Students will be sensitized to ethical issues and law, and introduced to novel application of artificial intelligence and visual computing through a weekly seminar with key-note talks from both institutional and industrial partners. The program of 2018-2019 seminars can be found **[[seminarProgramm|here]]** |
| - | + | ||
| - | **[[seminarProgramm|The program of 2018-2019 seminars can be found here]]** | + | |
| - | **MAP/INF630 - Transverse project (3 ECTS):** Students will work half a day a week on a transverse project, corresponding to a challenging question either raised by an industrial partner or by a researcher in the domain spanned by the graduate degree. (**see [[transverse|transverse projects page]]** for details). | + | **MAP/INF630 - Transverse project (3 ECTS):** Students will work half a day a week on a transverse project, corresponding to a challenging question either raised by an industrial partner or by a researcher in the domain spanned by the graduate degree. See the **[[transverse|transverse projects page]]** for details). |
| **Courses in humanities and sports (8 ECTS total)** These courses will be similar to those of the other graduate degrees at Ecole Polytechnique. | **Courses in humanities and sports (8 ECTS total)** These courses will be similar to those of the other graduate degrees at Ecole Polytechnique. | ||
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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 === | ||
| + | |||
| + | + Mandatory scientific courses: | ||
| * INF554 - Machine Learning I (Michalis Vazirgiannis, EP) | * INF554 - Machine Learning I (Michalis Vazirgiannis, EP) | ||
| * INF555 - Constraint-based Modeling and Algorithms for Decision Making Problems (new course, François Fages, Sylvain Soliman, Inria) | * 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) | ||
| - | + | + | + Two courses among the following: |
| - | * MIE556 - Marketing and Strategy Introduction, P. Ginier-Gillet | + | |
| - | + | ||
| + | * INF573 - Image Analysis and Computer Vision (Renaud Keriven, EP) | ||
| + | * INF574 - Digital representation and analysis of shapes (Maks Ovsjanikov, Luca Castelli, EP) | ||
| + | * MAP555 - Signal processing (Olivier Rioul, Telecom ParisTech) | ||
| + | |||
| + | + Mandatory non-scientific courses | ||
| + | |||
| + | * MIE556 - Marketing and Strategy Introduction (P. Ginier-Gillet, Flexion) | ||
| + | * Sport | ||
| + | * Humanities | ||
| + | * Foreign languages | ||
| + | |||
| + | |||
| === Period 2 === | === Period 2 === | ||
| + | |||
| + | + Mandatory scientific courses: | ||
| + | |||
| * MAP569 - Machine Learning 2 (Erwan Le Pennec, EP) | * MAP569 - Machine Learning 2 (Erwan Le Pennec, EP) | ||
| - | * INF585 - Computer animation (new course, Damien Rohmer, EP) | + | * INF585 - Computer animation (Damien Rohmer, EP) |
| + | |||
| + | + Two courses among the following: | ||
| * INF562 - Algorithmic geometry: from theory to applications (Luca Castelli, EP) | * INF562 - Algorithmic geometry: from theory to applications (Luca Castelli, EP) | ||
| * INF584 - Image synthesis: Theory and practice (Tamy Boubekeur, Telecom ParisTech) | * INF584 - Image synthesis: Theory and practice (Tamy Boubekeur, Telecom ParisTech) | ||
| * MAP566 - Statistics in action (Marc Lavielle, Inria) | * MAP566 - Statistics in action (Marc Lavielle, Inria) | ||
| + | * INF581 - Advanced Topics in Artificial Intelligence (Michalis Vazirgiannis, EP) | ||
| - | + | + | + 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 | ||
| + | * Humanities | ||
| + | * Foreign languages | ||
| === Period 3 === | === Period 3 === | ||
| MAP/INF590 - Internship (4 to 6 months) | MAP/INF590 - Internship (4 to 6 months) | ||
curriculum.txt · Last modified: 2023/06/22 18:41 by scornet
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