Coursebooks 2017-2018

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Linear models

MATH-341

Lecturer(s) :

Thibaud Emeric Rolland Georges

Language:

English

Summary

Regression modelling is a basic tool of statistics, because it describes how one variable may depend on another. The aim of this course is to familiarize students with the basis of regression modelling, and of some related topics.

Content

Learning Prerequisites

Recommended courses

Analysis, Linear Algebra, Probability, Statistics

Learning Outcomes

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

Teaching methods

Lectures ex cathedra, exercises in class, take-home projects

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

Ressources en bibliothèque

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16    MAA112
16-17  MAA112 
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