Study programme 2023-2024 | Français | ||
Probabilities and statistics | |||
Programme component of Bachelor's in Engineering (CHARLEROI) (day schedule) à la Faculty of Engineering |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
---|---|---|---|---|
UI-B2-IRCIVI-204-C | Compulsory UE | LESSINNES Thomas | ex20 - FPMS - Intervenants extérieurs à Charleroi |
|
Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Français | 30 | 30 | 0 | 0 | 0 | 5 | 5.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-ULBC-009 | Probabilities and statistics | 30 | 30 | 0 | 0 | 0 | Q2 | 100.00% |
Programme component | ||
---|---|---|
UI-B1-IRCIVI-104-C Mathematics I | ||
UI-B1-IRCIVI-105-C Mathematics II |
Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
Analyse data to extract statistical information. Discuss statistical quantities describing data. Represent data graphically. Study the linear dependancy of two random quantities. Manipulate probabilities and use their properties to infer conclusions. Use Bayes formula to infer new probabilities. Define the notion of random variables. Compute the moments of a random variable and of a vector of random variables. Manipulate the associated properties. Manipulate the specific random variables studied in the course. Understand and manipulate the fundamental theorems of the theory of probabilities. Solve problems of inference and estimation. Compute confidence intervals. Implement the various statistical tests described in the course. Explain the underlying ideas behind those tests.
UE Content: description and pedagogical relevance
One-dimensional and multi-dimensional descriptive statistics. Probability theory. Element of combinatorial calculus. Random variables: definition and properties. Specific random variables. Bienayme-Tchebycheff inequality. Bernoulli's theorem. De Moivre's theorem. Central-Limit Theorem. Asymptotic results. Statistical inference: confidence intervals, estimates, statistical tests.
Prior Experience
Mathematics I.
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-ULBC-009 |
|
Mode of delivery
AA | Mode of delivery |
---|---|
I-ULBC-009 |
|
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
---|---|
I-ULBC-009 | Not applicable |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
---|---|
I-ULBC-009 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
---|---|
I-ULBC-009 | Not applicable |
Grade Deferrals of AAs from one year to the next
AA | Grade Deferrals of AAs from one year to the next |
---|---|
I-ULBC-009 | Authorized |
Term 2 Assessment - type
AA | Type(s) and mode(s) of Q2 assessment |
---|---|
I-ULBC-009 |
|
Term 2 Assessment - comments
AA | Term 2 Assessment - comments |
---|---|
I-ULBC-009 | 100% |
Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
---|---|
I-ULBC-009 |
|
Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
---|---|
I-ULBC-009 | 100% |