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School / Prep
ENSEIRB-MATMECA
Internal code
ET5MA105
Description
The course introduces the basic concepts needed to understand random models and characterize them. This module also includes training in the Python language.
Teaching hours
- CMLectures12h
- TDTutorial12h
- TIIndividual work17h
- PRACTICAL WORKPractical work13,33h
Mandatory prerequisites
Syllabus
I) From discrete to continuousII) Convergence of random variablesIII) Random vectors (and back to random variables)IV) Gaussian vectors
Further information
Applied mathematics
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 |
|---|---|---|---|---|---|---|
| Continuous control | Minutes | 0.5 | TP session 1 grade carried forward | |||
| Final test | Written | 90 | 0.5 | without document without calculator |