Study programme 2021-2022 | Français | ||
Probabilities and statistics | |||
Programme component of Bachelor's in Engineering (Charleroi (Hor. jour)) à la Faculty of Engineering |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UI-B2-IRCIVI-204-C | Compulsory UE | LESSINNES Thomas | ex20 - FPMS - Intervenants extérieurs à Charleroi |
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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 |
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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.
Content of UE
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 Assessment for UE in Q2
Q2 UE Assessment Comments
100%
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
100%
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-ULBC-009 |
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Mode of delivery
AA | Mode of delivery |
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I-ULBC-009 |
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Required Reading
AA | |
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I-ULBC-009 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-ULBC-009 | Not applicable |
Recommended Reading
AA | |
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I-ULBC-009 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-ULBC-009 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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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 |
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I-ULBC-009 | Authorized |