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--- curriculum [2018/09/18 14:55]
cani [Transvere courses and projects (September 2018 to March 2019)]
+++ curriculum [2019/03/04 22:27]
cani [Scientific courses, period 1 (October - December 2018)]
@@ Line 22: / Line 22: @@
 **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)
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 ==== 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.
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 **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.

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