Coursebooks 2017-2018

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Statistical learning

MATH-412

Lecturer(s) :

Thibaud Emeric Rolland Georges

Language:

English

Summary

An introduction to statistical methods for supervised and unsupervised learning.

Content

Learning Prerequisites

Recommended courses

Analysis, Linear Algebra, Probability, Statistics, Linear Models

Learning Outcomes

By the end of the course, the student must be able to:

Teaching methods

Ex cathedra lectures, exercises and computer practicals in the classroom and at home.

Assessment methods

Continuous control, final exam.

Second session: from the rulebook of the Section of Mathematics (art. 3 al. 5), the teacher decides of the form of the exam and communicates it to the concerned students.

Supervision

Assistants Yes

Resources

Virtual desktop infrastructure (VDI)

No

Bibliography

Ressources en bibliothèque

In the programs

Reference week

 MoTuWeThFr
8-9    BC03
9-10    
10-11    BC03
11-12    
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German