Study programme 2022-2023 | Français | ||
Statistical Data Analysis | |||
Programme component of Master's in Mathematics (MONS) (day schedule) à la Faculty of Science |
Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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US-M1-SCMATH-042-M | Optional UE | SIEBERT Xavier | F151 - Mathématique et Recherche opérationnelle |
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Language of instruction | Language of assessment | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Credits | Weighting | Term |
---|---|---|---|---|---|---|---|---|---|
| Français | 18 | 18 | 0 | 0 | 0 | 4 | 4.00 | 1st term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
---|---|---|---|---|---|---|---|---|
I-MARO-014 | Data Mining | 18 | 18 | 0 | 0 | 0 | Q1 | 100.00% |
Programme component |
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Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
- understand and explain the theory, models and techniques used
- identify which model(s) are best suited for a given dataset
- analyse datasets using a software
- interpret the results from the software, showing an understanding of the theory
UE Content: description and pedagogical relevance
- descriptive techniques such as principal components analysis and discriminant analysis
- classical models of statistical data analysis (analysis of variance, linear regression)
- data mining (classification and clustering)
Prior Experience
Elementary statistics
Algebra and Calculus
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-MARO-014 |
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Mode of delivery
AA | Mode of delivery |
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I-MARO-014 |
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Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-MARO-014 | - slides of oral presentations (theory and examples) - problem sets |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-MARO-014 | Sans objet |
Other Recommended Reading
AA | Other Recommended Reading |
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I-MARO-014 | R.O.Duda, P.E.Hart, D.G.Stork. "Pattern Classification". John Wiley and Sons, 2000. C.M. Bishop Pattern recognition and machine learning. springer, 2006. R.E.Walpole, R.H.Myers, S.L.Myers, K.Ye, "Probability and Statistics for Engineers and Scientists", Prentice Hall, 2012 K P Murphy, Machine learning: a probabilistic perspective. MIT press, 2012. |
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-MARO-014 | Authorized |
Term 1 Assessment - type
AA | Type(s) and mode(s) of Q1 assessment |
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I-MARO-014 |
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Term 1 Assessment - comments
AA | Term 1 Assessment - comments |
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I-MARO-014 | written exam for the theory, practial work on the computer |
Resit Assessment - Term 1 (B1BA1) - type
AA | Type(s) and mode(s) of Q1 resit assessment (BAB1) |
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I-MARO-014 |
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Term 3 Assessment - type
AA | Type(s) and mode(s) of Q3 assessment |
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I-MARO-014 |
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Term 3 Assessment - comments
AA | Term 3 Assessment - comments |
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I-MARO-014 | idem Q1 |