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M1 S2: 1st year, 2nd (spring) semester

All courses take place over 24 hours, unless otherwise specified. Details are available for each course below.

Courses of the second (spring) semester

Name Status Teaching hours Credits (ECTS)
Probability 2: Markov chains & processes Mandatory 24 3
Statistics 2: Introduction to estimation Mandatory 24 3
Optimization and numerical analysis Mandatory 24 3
Algorithms and their complexity 2 Mandatory 24 3
Machine learning 3: Deep Learning Mandatory 24 3
Models for machine learning Mandatory 24 3
Signal processing & Functional data analysis Mandatory 24 3
Data challenge Mandatory 1 week 3
Research project Mandatory 3
Seminars Mandatory
Internship Mandatory 6+ weeks 3

Head of Master program

Pierre Chainais-

Administration, secretary