| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| UI-B3-IRCIVA-015-M | Compulsory UE | GILLIS Nicolas | F151 - Mathématique et Recherche opérationnelle |
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 0 | 0 | 0 | 0 | 0 | 2 | 2 |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-012 | 100% |
| Unité d'enseignement | ||
|---|---|---|
 | UI-B1-IRCIVA-003-M Mathématique pour l'ingénieur 1 | |
| UI-B1-IRCIVA-004-M Mathématique pour l'ingénieur 2 | |
Objectives of general skills
- Understand the theoretical and methodological fundamentals in arts, science, engineering and construction to solve problems involving these disciplines
- Identify, describe and explain the basic artistic, scientific and mathematical principles
- Identify, describe and explain the basic principles of engineering sciences and construction
- Understand laboratory techniques: testing, measuring, monitoring protocol, and security
- Select and thoroughly apply knowledge, methods and tools in arts, sciences, engineering sciences and construction to solve problems involving these disciplines
UE's Learning outcomes
- Establish simple properties or explain demonstrations ;- Model real situations using classical probability distributions;- Calculate the parameters of a distribution;- Calculate probabilities identifying four counting-standard situations;- Graph and summarize statistical data;- Construct an interval containing almost certainly the value of a parameter of a distribution;- Testing the assumptions made on the value of parameters
UE Content
concepts of probability: random variables and distribution; classical distributions; random vectors; independence; correlation; regression; normal distribution; central limit theorem;
concepts of statistics: modeling real situations by probability plot and summary statistics; covariance; correlation; regression; independence; estimation intervals (mean, proportion, variance); hypothesis testing (mean, variance, proportion and comparisons).
Prior experience
Not applicable
Term 1 for Integrated Assessment - type
- Written examination
Term 2 for Integrated Assessment - type
- Written examination
Term 3 for Integrated Assessment - type
- Written examination
Resit Assessment for IT - Term 1 (B1BA1) - type
- Written examination
Type of Teaching Activity/Activities
| AA | |
|---|---|
| I-MARO-012 |
Mode of delivery
| AA | |
|---|---|
| I-MARO-012 |
Required Reading
| AA | |
|---|---|
| I-MARO-012 |
Required Learning Resources/Tools
| AA | |
|---|---|
| I-MARO-012 |
Recommended Reading
| AA | |
|---|---|
| I-MARO-012 |
Recommended Learning Resources/Tools
| AA | |
|---|---|
| I-MARO-012 |
Other Recommended Reading
| AA | |
|---|---|
| I-MARO-012 |
Term 1 Assessment - type
| AA | |
|---|---|
| I-MARO-012 |
Term 1 Assessment - comments
| AA | |
|---|---|
| I-MARO-012 |
Resit Assessment - Term 1 (B1BA1) - type
| AA | |
|---|---|
| I-MARO-012 |
Resit Assessment - Term 1 (B1BA1) - Comments
| AA | |
|---|---|
| I-MARO-012 |
Term 2 Assessment - type
| AA | |
|---|---|
| I-MARO-012 |
Term 2 Assessment - comments
| AA | |
|---|---|
| I-MARO-012 |
Term 3 Assessment - type
| AA | |
|---|---|
| I-MARO-012 |
Term 3 Assessment - comments
| AA | |
|---|---|
| I-MARO-012 |