 | Study programme 2023-2024 | Français | |
 | Probability and Statistics | ||
Programme component of Bachelor's in Physics (MONS) (day schedule) à la Faculty of Science |
| Code | Type | Head of UE | Department’s contact details | Teacher(s) |
|---|---|---|---|---|
| US-B3-SCPHYS-002-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 | 29 | 13 | 3 | 0 | 0 | 4 | 4.00 | 1st term |
| AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
|---|---|---|---|---|---|---|---|---|
| S-MATH-030 | Introduction to R | 3 | 0 | 3 | 0 | 0 | Q1 | |
| S-PHYS-101 | Probability and Statistics | 26 | 13 | 0 | 0 | 0 | Q1 |
| Programme component |
|---|
Objectives of Programme's Learning Outcomes
- Understand the fundamentals
- Demonstrate knowledge and understanding of mathematics suitable for the study of physics, and be able to use this mathematics in applications in the field of physics
- Undertake further study having already acquired and enhanced the necessary learning skills
- Provide clear and accurate information
- Communicate complex information to a qualified scientific partner
- Have a rigorous scientific approach
- Solve simple problems in the context of physics by identifying their basic aspects and by using both appropriate theoretical and experimental methods
Learning Outcomes of UE
Introduction to the statistics software R. More on probability and an introduction to statistics
UE Content: description and pedagogical relevance
Introduction to the statistics software R.
Probability:
- limit theorems
- quantiles, simulation
Statistics
- estimator
- confidence intervals for gaussian samples
- hypothesis tests for gaussian samples
- t-test for two samples
- Chi-squared tests
- linear regression
Prior Experience
Basic notions of probability
Type(s) and mode(s) of Q1 UE assessment
- Written examination - Face-to-face
- Practical exam - Face-to-face
Q1 UE Assessment Comments
The theoretical part of the course will be evaluated by a written exam. The statistical work on data will be evaluated by a test using R.
Method of calculating the overall mark for the Q1 UE assessment
Not applicable
Type(s) and mode(s) of Q1 UE resit assessment (BAB1)
- N/A - Néant
Q1 UE Resit Assessment Comments (BAB1)
Not applicable
Method of calculating the overall mark for the Q1 UE resit assessment
Not applicable
Type(s) and mode(s) of Q3 UE assessment
- Written examination - Face-to-face
- Practical exam - Face-to-face
Q3 UE Assessment Comments
The theoretical part of the course will be evaluated by a written exam. The statistical work on data will be evaluated by a test using R.
Method of calculating the overall mark for the Q3 UE assessment
Not applicable
Type of Teaching Activity/Activities
| AA | Type of Teaching Activity/Activities |
|---|---|
| S-MATH-030 |
|
| S-PHYS-101 |
|
Mode of delivery
| AA | Mode of delivery |
|---|---|
| S-MATH-030 |
|
| S-PHYS-101 |
|
Required Learning Resources/Tools
| AA | Required Learning Resources/Tools |
|---|---|
| S-MATH-030 | Slides of the presentation put on moodle Exercise sheets |
| S-PHYS-101 | Exercise sheets |
Recommended Learning Resources/Tools
| AA | Recommended Learning Resources/Tools |
|---|---|
| S-MATH-030 | Not applicable |
| S-PHYS-101 | Not applicable |
Other Recommended Reading
| AA | Other Recommended Reading |
|---|---|
| S-MATH-030 | Not applicable |
| S-PHYS-101 | Not applicable |