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| MQGE0004-1 | Multivariate analysis applied to management
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| Duration : | 24h Th |
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| Credits/ECTS : |
| Master in Management Sciences, in-depth approach, 1st year | | Premier quadrimestre | | 4 |
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| Master in Management Sciences, didactic approach, 1st year | | Premier quadrimestre | | 4 |
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| Master in Business Engineering, didactic approach, 1st year | | Premier quadrimestre | | 4 |
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| Master in Management Sciences, professional Focus in Entrepreneurship, 1st year | | Premier quadrimestre | | 4 |
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| Master in Management Sciences, professional Focus, 1st year | | Premier quadrimestre | | 4 |
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| Master in Management Engineering, professional Focus, 1st year | | Premier quadrimestre | | 4 |
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| Master in Management Engineering, professional Focus, 2nd year | | Premier quadrimestre | | 4 |
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| Master en sciences de gestion, à finalité spécialisée en management, 1st year | | Premier quadrimestre | | 4 |
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| Holder(s) : | Gentiane Haesbroeck |
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| Language : | Langue française |
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| Course contents : | The course presents the main technics of multivariate statistics that are useful in management. It starts with the presentation of some descriptive techniques and then goes on with the main dimension reduction methods (PCA, canonical analysis). The courses ends with the consideration of different classification techniques (discriminant analysis, logistic regression,...). |
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| Course objective : | At the end of the course, the students are expected to be able to
- find out which method would be most appropriate for analysing a multivariate data set.
- use the statistical software illustrated at the practicals
- interpret the results of the analyses. |
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| Prerequisites : | Descriptive statistics, probability theory and inferential statistics. |
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| Workshops : | After each theory lecture, practicals in a computer room will be organised. The students will be asked to analyse real data sets using a given statistical software. Moreover, more classicla tutorials will be planned during the lecture. |
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| Organization : | As required by HEC-Management school, the course will be organised over a 6-week period (4 hours per week) starting in September. Each week, the students will be given homeworks in order to get familiar with the statistical software as well as the perfomed analyses. |
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| Written notes : | Slides used during the lectures will be used as available lecture notes. |
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| Assessment : | The final mark will be a weigthed mean based on the following three results:
1) Assessments of the homeworks
2) Exam with both a written part and a practical part on computer. |
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| Contacts : | G.HAESBROECK, Institute of mathematics, Building B37, room 0/60, tel: 04/366-95-94, email: G.Haesbroeck@ulg.ac.be |
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