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m2courses [2021/04/29 11:11]
etore bilait and S
m2courses [2021/08/31 13:55] (current)
picard
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 The first semester of MSIAM master 2 is essentially divided in two tracks. The first semester of MSIAM master 2 is essentially divided in two tracks.
 Each student should be registered in one of the following tracks: Each student should be registered in one of the following tracks:
-  * [[m2courses#Modelling,_Scientific_Computing_and_Image_analysis_(MSCI)| Modelling,  Scientific Computing and Image analysis (MSCI)]] +  * [[m2courses#Modelling,_Scientific_Computing_and_Image_analysis_(MSCI)| Modelling,  Scientific Computing and Image analysis (MSCI)]]. The provisional course schedule is available {{ ::m2common:edt_m2-msci_s9-2021-22.pdf |here}} 
-  * [[m2courses#Data_Science_(DS)|Data Science]]+  * [[m2courses#Data_Science_(DS)|Data Science]]. The provisional course schedule is available {{ ::m2common:edt_m2-ds_s9-2021-22.pdf |here}}
  
 However a personalized track may also be build for some students from the available courses (if no timetable conflicts appears).  However a personalized track may also be build for some students from the available courses (if no timetable conflicts appears). 
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 The University of Grenoble Alpes benefits from a very active community in data science, whose most  visible banner is the [[https://data-institute.univ-grenoble-alpes.fr/|Grenoble Data Science Institute]]. Among its permanent groups and recurrent activities are the [[https://data-institute.univ-grenoble-alpes.fr/education/data-club/|Grenoble Data Club]] and [[https://data-institute.univ-grenoble-alpes.fr/education/r-in-grenoble/|R-in-Grenoble]] seminars.   The University of Grenoble Alpes benefits from a very active community in data science, whose most  visible banner is the [[https://data-institute.univ-grenoble-alpes.fr/|Grenoble Data Science Institute]]. Among its permanent groups and recurrent activities are the [[https://data-institute.univ-grenoble-alpes.fr/education/data-club/|Grenoble Data Club]] and [[https://data-institute.univ-grenoble-alpes.fr/education/r-in-grenoble/|R-in-Grenoble]] seminars.  
  
-The Data Science track has common courses with the [[http://mosig.imag.fr/|MoSIG program]]. The Data Science track is both research- and industry-oriented. Its purpose is to train high-level researchers with skills in both the mathematical aspects of Data Science and in practical skills in data analysis and programming. +The Data Science track has common courses with the [[http://mosig.imag.fr/|MoSIG program]]. The Data Science track is both research- and industry-oriented. Its purpose is to train high-level researchers with skills in both the mathematical aspects of Data Science, Probability and Statistics, and in practical skills in data analysis and programming. 
  
 The theoretical courses **(~180h)** are followed by an internship in a research lab or company.  The theoretical courses **(~180h)** are followed by an internship in a research lab or company. 
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 +** Important note in 2021-2022 :** the two couples of courses
  
 +(1) Non-smooth Convex Optimization Methods + (2) Efficient methods in optimization
 +
 +(1) Model exploration for approximation of complex, high-dimensional problems + (2) Inverse problem and data assimilation : variational and Bayesian approaches
 +
 +are thought so that (2) follows (1) and it makes sense to take (1)+(2) to have a deep view on the subject. Students are not forced to take (1)+(2), they can take for example just (1). But note that it will be difficult to follow (2), without having taken (1).
 +
 +
 +
 +** More information about the interplay of the courses here: ** TO BE ANNOUNCED
  
  
m2courses.1619687512.txt.gz · Last modified: 2021/04/29 11:11 by etore
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