 | Study programme 2019-2020 | Français | |
 | Probability and Statistics | ||
Programme component of Bachelor's in Engineering: Architectural Engineering à la Faculty of Engineering |
| Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3 |
|---|
| 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 | 16 | 8 | 0 | 0 | 0 | 2 | 2.00 | 2nd term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| I-MARO-012 | Probability and Statistics | 16 | 8 | 0 | 0 | 0 | Q2 | 100.00% |
| Programme component | ||
|---|---|---|
 | UI-B1-IRCIVA-003-M Engineering Mathematics 1 | |
| UI-B1-IRCIVA-004-M Engineering Mathematics 2 | |
Objectives of Programme's Learning Outcomes
- 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
- Select and thoroughly apply knowledge, methods and tools in arts, sciences, engineering sciences and construction to solve problems involving these disciplines
Learning Outcomes of UE
- 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
Content of UE
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
Type of Assessment for UE in Q2
- Written examination
Q2 UE Assessment Comments
1 written Examen, 100% within the AA, duration : 3h.
Type of Assessment for UE in Q3
- Written examination
Q3 UE Assessment Comments
1 written Examen, 100% within the AA, duration : 3h.
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| I-MARO-012 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| I-MARO-012 |
|
Required Reading
| AA | |
|---|---|
| I-MARO-012 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| I-MARO-012 | Not applicable |
Recommended Reading
| AA | |
|---|---|
| I-MARO-012 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| I-MARO-012 | Sans objet |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| I-MARO-012 | Not applicable |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| I-MARO-012 | Authorized |