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--- curriculum [2024/10/25 07:12] – [Period 2] respai-vic
+++ curriculum [2025/01/10 12:52] (current) – [Period 2] respai-vic
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-===== Detailed Curriculum of the MScT AI-VIC=====
+===== Detailed Curriculum =====
 ===== MASTER 1  (M1) =====
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 Mandatory:
-  * Computer Animation (INF585, Marie-Paule Cani, EP)
+  * Computer Animation (INF585, Mathieu Desbrun and Marie-Paule Cani, EP)
 course among:
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 > This course will introduce students to advanced topics in modern geometric data analysis with focus on a) mathematical foundations (discrete differential geometry, mapping, optimization), and b) deep learning for best performing methods. We will give an overview of the foundations in shape analysis and processing before moving to modern techniques based on deep learning for solving problems such as shape classification, correspondence, parametrization, etc.
-**INF633 - Smart models for 3D Creation and Animation (24h, 2 ECTS),  Marie-Paule Cani (EP), Julien Pettré (Inria), Paul Boursin (EP), Antonin Wattel (Telecom)** (contact: marie-paule.cani@polytechnique.edu)
+**INF633 - Smart models for 3D contents Creation and Animation (24h, 2 ECTS),  Marie-Paule Cani (EP), Julien Pettré (Inria), Paul Boursin (EP), Antonin Wattel (Telecom)** (contact: marie-paule.cani@polytechnique.edu)
 > This course presents recent advances in 3D computer graphics, and more specifically in the subfields on modeling and animation, which rely on artificial intelligence. We first introduce user-centered Creative AI, i.e. smart 3D models - either based on knowledge or on deep learning from examples, designed to help users creating 3D virtual environments. Second, we focus the use of AI - from light models to deep reinforcement learning - in Character Animation, i.e. towards the training of autonomous 3D characters able to navigate and interact with such environments. The lab sessions are held on Unity, based on C#.
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 > This course is an introduction to fundamental and advanced topics in computer vision with learning-based approaches, ie. Deep Learning. Topics include image and video classification, object detection, action recognition, optical flow and motion, multi-modal vision systems, annotation signal and applications.
-**INF643 - Soft robots: simulation, fabrication, and control (24h, 2 ECTS),  Christian Duriez (Inria Lille), Sylvain Lefebvre (Inria Nancy) ** (contact: christian.duriez@inria.fr)
+**INF643 - Soft robots: Design, Modeling, Simulation and Control (24h, 2 ECTS),  Christian Duriez (Inria Lille)** (contact: christian.duriez@inria.fr)
-> Soft robotics is a promising novel field, bringing more robustness in robots design and for all tasks involving close interactions with humans, from help to disable people to medical robot. This course will give an introduction to recent advances in soft robotics, including topological optimization for additive fabrication, modeling and control techniques for robots, and will present recent applications in medicine, industry and art.
+> Soft robotics is a promising novel field, bringing more robustness in robots design and for all tasks involving close interactions with humans, from help to disable people to medical robot. This course will give an introduction to recent advances in soft robotics, including design, modeling, simulation and control techniques for robots, and will present recent applications in medicine, industry and art.