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School / Prep
ENSEIRB-MATMECA
Internal code
ET7PS204
Description
The aim of this module is to introduce the basic concepts and tools of statistics. The course is divided into three parts. In a first short section, statistical terminology will be introduced through the notions of statistical model (standard or Bayesian), sample, statistics, etc., then in a second more substantial section, the construction and characterization of estimators will be studied. Time permitting, basic notions of statistical testing will also be presented in a third part. TD sessions will be devoted to exercises linked to the course, while TP sessions will be devoted to an introduction to statistical learning (machine learning) through a concrete application problem.
Teaching hours
- CMLectures8h
- TDTutorial4h
- TIIndividual work15h
- PRACTICAL WORKPractical work8h
Mandatory prerequisites
MA105 (Probability), TS108 (Random Processes), TS115 (Information Theory)
Syllabus
Statistical modeling
Estimation
Tests
Further information
Statistics
Assessment of knowledge
Initial assessment / Main session - Tests
| Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
|---|---|---|---|---|---|---|
| Continuous control | Active Participation | 0.25 | ||||
| Continuous control | Minutes | 0.25 | ||||
| Final inspection | Written | 90 | 0.5 | without document without calculator |
Second chance / Catch-up session - Tests
| Type of assessment | Type of test | Duration (in minutes) | Number of tests | Test coefficient | Eliminatory mark in the test | Remarks |
|---|---|---|---|---|---|---|
| Final test | Written | 90 | 1 | without document without calculator |