Study programme 2019-2020 | Français | ||
Analysis of Experimental Data | |||
Programme component of Master's in Computer Engineering and Management (Charleroi (Hor. décalé)) à la Faculty of Engineering |
Students are asked to consult the ECTS course descriptions for each learning activity (AA) to know what assessment methods are planned for the end of Q3 |
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Code | Type | Head of UE | Department’s contact details | Teacher(s) |
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UI-M1-IRIGIG-830-C | Compulsory 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 |
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| Français | 30 | 12 | 0 | 0 | 0 | 4 | 4.00 | 2nd term |
AA Code | Teaching Activity (AA) | HT(*) | HTPE(*) | HTPS(*) | HR(*) | HD(*) | Term | Weighting |
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I-MARO-156 | Analysis of Experimental Data | 30 | 12 | 0 | 0 | 0 | Q2 | 100.00% |
Programme component |
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Objectives of Programme's Learning Outcomes
Learning Outcomes of UE
perform a multivariate statistical analysis on data files;
interpret the results of such an analysis;
understand and apply classification and clustering techniques;
understand the principles of experimental design
Content of UE
data representation and analysis; factorial methods (principal components analysis, multiple correspondance methods, rank analysis, ...); regression, analysis of variance; classification, clustering; experimental design. Software : R, Weka
Prior Experience
one-dimensional descriptive statistics
algebra, calculus
Type of Assessment for UE in Q2
Q2 UE Assessment Comments
written exam for the theory, followed by a practial exam on the computer
Type of Assessment for UE in Q3
Q3 UE Assessment Comments
written exam for the theory, followed by a practial exam on the computer
Type of Teaching Activity/Activities
AA | Type of Teaching Activity/Activities |
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I-MARO-156 |
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Mode of delivery
AA | Mode of delivery |
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I-MARO-156 |
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Required Reading
AA | |
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I-MARO-156 |
Required Learning Resources/Tools
AA | Required Learning Resources/Tools |
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I-MARO-156 | Not applicable |
Recommended Reading
AA | |
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I-MARO-156 |
Recommended Learning Resources/Tools
AA | Recommended Learning Resources/Tools |
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I-MARO-156 | Not applicable |
Other Recommended Reading
AA | Other Recommended Reading |
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I-MARO-156 | I. H. Witten, E. Frank. Data Mining : "Practical Machine Learning Tools and Techniques with Java Implementations". Morgan Kaufmann, 2010 J-M. Azaïs, J-M. Bardet, "Le Modèle Linéaire par l'exemple : Régression, Analyse de la Variance et Plans d'Expériences. Illustrations numériques avec les logiciels R, SAS et Splus", Dunot, 2006 R.E.Walpole, R.H.Myers, S.L.Myers, K.Ye, "Probability and Statistics for Engineers and Scientists", Prentice Hall, 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-156 | Authorized |