Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revision Previous revision
Next revision
Previous revision
curriculum [2019/07/31 23:45]
scornet [Scientific courses, period 1 (October - December 2018)]
curriculum [2020/05/27 19:20] (current)
scornet [MASTER 1]
Line 4: Line 4:
  
 ===== MASTER 2 ====== ===== MASTER 2 ======
-==== Pre-training period (September ​2018) ==== +==== Pre-training period (September) ==== 
 Choice between: Choice between:
   * MAP630 - Refresher in Statistics : statistical analysis, introduction to Machine Learning techniques (Pierre Latouche, CNRS).   * MAP630 - Refresher in Statistics : statistical analysis, introduction to Machine Learning techniques (Pierre Latouche, CNRS).
Line 29: Line 29:
  
  
-==== Scientific Courses, period 2 (January - March 2019) ====+==== Scientific Courses, period 2 (January - March) ====
  
 **MAP641 - Reinforcement Learning (48h, 5 ECTS), Odalric-Ambrym Maillard (Inria Lille), Bruno Scherrer (Inria Nancy), 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)
Line 44: Line 44:
   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 topological optimization for additive fabrication,​ modeling and control techniques for robots, and will present recent applications in medicine, industry and art.
  
-**INF644 - Immersion and interaction with virtual worlds ​ (24h, 2 ECTS), Anatole Lecuyer (Inria), Fernando Argelaguet Sanz (Inria), Maud Marchal (INSA Rennes), Guillaume Moreau (Centrale Nantes), Jean-Marie Normand (Centrale Nantes), Fabien Lotte (Inria)** (contact: Anatole.Lecuyer@inria.fr)+**INF644 - Virtual/​Augmented Reality & 3D Interactions ​ (24h, 2 ECTS), Anatole Lecuyer (Inria), Fernando Argelaguet Sanz (Inria), Maud Marchal (INSA Rennes), Guillaume Moreau (Centrale Nantes), Jean-Marie Normand (Centrale Nantes), Fabien Lotte (Inria)** (contact: Anatole.Lecuyer@inria.fr)
   Reconstructing our world or generating virtual ones would be useless without novel ways to navigate and interact with them. This course will present virtual reality systems and the associated methods for navigation and interaction,​ from multi-modal interaction merging visual immersion, sound and haptics systems to brain-computer interfaces.   Reconstructing our world or generating virtual ones would be useless without novel ways to navigate and interact with them. This course will present virtual reality systems and the associated methods for navigation and interaction,​ from multi-modal interaction merging visual immersion, sound and haptics systems to brain-computer interfaces.
   ​   ​
-==== Transvere courses and projects (September ​2018 to March 2019) ====+==== Transvere courses and projects (September to March) ====
  
-**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, ​1:30pm-3:00pm
 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]]** ​ 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]]** ​
        
Line 58: Line 58:
  
  
-==== Final project (April to September ​2019 - 30 ECTS) ==== +==== Final project (April to September - 30 ECTS) ==== 
 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.
  
Line 65: Line 65:
 All courses are 36h and will represent 4 ECTS.  All courses are 36h and will represent 4 ECTS. 
  
-  * MAP538: Refresher in statistics (one weekat the beginning of the year; Alain Durmus, CMLA+  * MAP538: Refresher in statistics (few daysin September; Alain Durmus ​<​alain.durmus@cmla.ens-cachan.fr>​
-  * INF...: Refresher in Computer science (one weekor during the first week of the first period, to be confirmed)+  * INF538: Refresher in Computer science (few daysin September; christophe lino <​christophe.lino@telecom-paris.fr>​)