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| Version 2012-2013 |
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| STAT1218-1 | Statistical methods for economics
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| Duration : | 12h Th, 12h Pr |
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| Number of credits : |
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| Lecturer : | Yves Brostaux |
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Language(s) of instruction :
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| French language |
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Organisation and examination :
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| Teaching in the second semester |
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Course contents :
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| Descriptive statistics
- mesures of central location, dispersion, concentration
- index numbers
Time series
- decomposition methods
- smoothing methods
- ARIMA models |
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Learning outcomes of the course :
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| To learn statistical tools particularly useful to economics.
After completing the course the student is expected to
- summarize data from the field of business and social sciences,
- calculate index numbers,
- analyse univariate time series by various approches. |
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Prerequisites and co-requisites/ Recommended optional programme components :
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| Basic skills in applied statistics, for example :
- STAT1207-1- Applied statistics
Basic skills in computer science, for example :
- INFO2037-1- Introduction to computer science
- HULG0149-1- Office automation
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Planned learning activities and teaching methods :
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| Lectures
Exercises
Personal work |
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Mode of delivery (face-to-face ; distance-learning) :
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| Face-to-face |
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Recommended or required readings :
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| - Syllabus.
- DAGNELIE P. [2007]. Statistique théorique et appliquée. Tome 1 : statistique descriptive et bases de l'inférence statistique. Bruxelles. De Boeck, 511 p. |
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Assessment methods and criteria :
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| Oral examination (20%)
Personal report (80%) |
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Work placement(s) :
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Organizational remarks :
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| Lectures : 12 h
Practical Works : 12 h
Participation in all organized learning activities is mandatory |
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Contacts :
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| Yves Brostaux (Senior lecturer)
081 62 24 69
y.brostaux@ulg.ac.be |
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