Parisian Master of Research in Computer Science
Master Parisien de Recherche en Informatique (MPRI)

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cours:c-2-14-1 [2019/03/05 14:29]
glisse [Course planning]
cours:c-2-14-1 [2019/11/05 16:00] (current)
glisse [Course planning]
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 ===== Computational Geometry Learning : (3 ECTS) ===== ===== Computational Geometry Learning : (3 ECTS) =====
-Contact : Jean-Daniel Boissonnat [[jean-daniel.boissonnat@inria.fr|.]] 
  
 +Contact : Marc Glisse [[marc.glisse@inria.fr|.]]
 ==== Teachers  ==== ==== Teachers  ====
  
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 ==== Course planning ==== ==== Course planning ====
  
-2018-2019: New schedule in preparation, class starts in December. The course consists of 8 lectures of 3h each, on Tuesdays at 12:45.+2019-2020: The course consists of 8 lectures of 3h each, on Thursdays at 12:45 in room 1013.
  
-  * [4/12] Warm up: 2D convex geometry [http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/geoalgo1.txt|.]] [MG]+  * [19/9] Warm up: 2D convex geometry [[http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/geoalgo1.txt|.]] [MG] 
 +  * [26/9] Comparing objects, polytopes [MG] 
 +  * [3/10] Voronoi, Delaunay [MG] 
 +  * [10/10] [CM] 
 +  * [24/10] [CM] 
 +  * [31/10] [MG] Higher dimensions 
 +  * [7/11] [CM] 
 +  * [14/11] [CM] 
 +  * [28/11] exam (you can use your notes, the slides, and the book "Geometric and Topological Inference", all on your laptop) 
 + 
 +2018-2019: Class starts in December. The course consists of 8 lectures of 3h each, on Tuesdays at 12:45. 
 + 
 +  * [4/12] Warm up: 2D convex geometry [[http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/geoalgo1.txt|.]] [MG]
   * [18/12] Polytopes [MG]   * [18/12] Polytopes [MG]
   * [8/1] Delaunay triangulations [MG]   * [8/1] Delaunay triangulations [MG]
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   * [5/2] Persistent homology [CM]   * [5/2] Persistent homology [CM]
   * [12/2] Stability and topological inference [CM]   * [12/2] Stability and topological inference [CM]
-  * [5/3] exam (you can use your notes, the slides, and the book "Geometric and Topological Inference")+  * [5/3] [[https://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/exam-2018-2019.pdf|exam]] (you can use your notes, the slides, and the book "Geometric and Topological Inference")
 2017:  2017: 
  
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-      * 1. [11/09] Warm up: 2D convex geometry [http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/geoalgo1.txt|.]] [MG]+      * 1. [11/09] Warm up: 2D convex geometry [[http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/geoalgo1.txt|.]] [MG]
  
       * 2. [18/09] Polytopes and Delaunay complexes (26/09)[[http://www-sop.inria.fr/geometrica/courses/slides/mpri2-Delaunay.pdf|.]]  Weighted Delaunay  [[http://www-sop.inria.fr/geometrica/courses/slides/mpri3-weightedDT.pdf| .]][JDB]       * 2. [18/09] Polytopes and Delaunay complexes (26/09)[[http://www-sop.inria.fr/geometrica/courses/slides/mpri2-Delaunay.pdf|.]]  Weighted Delaunay  [[http://www-sop.inria.fr/geometrica/courses/slides/mpri3-weightedDT.pdf| .]][JDB]
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 A related course and additional slides (in french) can be found at [[http://www.college-de-france.fr/site/jean-daniel-boissonnat/course-2016-2017.htm]] A related course and additional slides (in french) can be found at [[http://www.college-de-france.fr/site/jean-daniel-boissonnat/course-2016-2017.htm]]
  
- +Extra slides: Nearest neighbors [[http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/mpri-7b.pdf|.]], witness complex [[http://geometrica.saclay.inria.fr/team/Marc.Glisse/enseignement/mpri/mpri-witness.pdf|.]]
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 **Text books** **Text books**
  
-- J-D. Boissonnat, F. Chazal and M. Yvinec, Geometric and Topological Inference, Cambridge University Press [[https://hal.inria.fr/hal-01615863/|.]]+- J-D. Boissonnat, F. Chazal and M. Yvinec, **Geometric and Topological Inference**, Cambridge University Press [[https://hal.inria.fr/hal-01615863/|.]]
  
 - J-D. Boissonnat and M. Yvinec, Algorithmic Geometry. Cambridge University Press, 1998.  - J-D. Boissonnat and M. Yvinec, Algorithmic Geometry. Cambridge University Press, 1998. 
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 - F. Chazal, L. J. Guibas, S. Y. Oudot, P. Skraba. Persistence-Based Clustering in Riemannian Manifolds. J. of the ACM, Vol 60, No 6, article 41. - F. Chazal, L. J. Guibas, S. Y. Oudot, P. Skraba. Persistence-Based Clustering in Riemannian Manifolds. J. of the ACM, Vol 60, No 6, article 41.
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-**On-going projects** 
- 
-- European Research Council (ERC):  Advanced  Grant  GUDHI : Geometric Understanding in Higher Dimensions [[https://project.inria.fr/gudhi/|.]] 
- 
-- Agence Nationale de la Recherche (ANR) : TopData : Topological Data Analysis: Statistical Methods and Inference 
-[[http://geometrica.saclay.inria.fr/collaborations/TopData/Home.html|.]] 
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 ==== Relevant courses ==== ==== Relevant courses ====
 
Universités partenaires Université Paris-Diderot
Université Paris-Saclay
ENS Cachan École polytechnique Télécom ParisTech
ENS
Établissements associés Université Pierre-et-Marie-Curie CNRS INRIA CEA