 | Study programme | Français | |
 | Probability and Statistics I (Part B) | ||
Programme component of Bachelor's Degree in Mathematics à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-B2-SCMATH-010-M | Compulsory UE | GROSSE-ERDMANN Karl | S844 - Probabilité et statistique |
|
| Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
|---|---|---|---|---|---|---|---|---|---|
| Français | 20 | 10 | 0 | 0 | 0 | 3.00 | 100.00 |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-MATH-813 | Probability and Statistics I (Part B) | 20 | 10 | 0 | 0 | 0 | Q2 | 100.00% |
| Unité d'enseignement |
|---|
Objectives of Programme's Learning Outcomes
- Understand "elementary" mathematics profoundly
- Understand one- and several-variable differential and integral calculus
- Understand and use the naive set theory
- Understand the fundamentals of probability and statistics
- Manipulate previously acquired knowledge that appears in a question
- Give examples and counterexamples for definitions, properties, theorems, etc.
- Understand and produce strict mathematical reasoning
- Write clearly and concisely
- Use mathematical vocabulary and formalism appropriately
- Make sense of formal expressions
- Rely on a picture to illustrate a concept, rationale, etc.
- Collaborate on mathematical subjects
- Demonstrate independence and their ability to work in teams.
- Solve new problems
- Abstract and manipulate theories and use these to solve problems
- Adapt an argument to a similar situation
- Use knowledge from different fields to address issues
- Address literature and interact within other scientific fields
- Have sufficient knowledge of English in order to read and understand scientific texts, especially in the field of mathematics.
Learning Outcomes of UE
Elements of integration theory. Random variables.
Content of UE
- Introducation to integration theory
- Random variables
Prior Experience
Basic notions of probability. Elements of measure theory. Good knowledge of naive set theory.
Q1 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q2
- Written examination
Q2 UE Assessment Comments
Not applicable
Type of Assessment for UE in Q3
- Oral examination
Q3 UE Assessment Comments
Not applicable
Q1 UE Resit Assessment Comments (BAB1)
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-MATH-813 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-MATH-813 |
|
Required Reading
| AA | |
|---|---|
| S-MATH-813 |
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-MATH-813 | Not applicable |
Recommended Reading
| AA | |
|---|---|
| S-MATH-813 |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-MATH-813 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-MATH-813 | Jean Jacod, Philip Protter : L'essentiel en théorie des probabilités, Cassini Dominique Foata, Aimé Fuchs : Calcul des probabilités, Dunod |
Grade Deferrals of AAs from one year to the next
| AA | Grade Deferrals of AAs from one year to the next |
|---|---|
| S-MATH-813 | Autorisé |