Individual
course details |
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Study programme |
Meteorology |
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Chosen research area (module) |
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Nature and level of studies |
The
undergraduate level |
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Name of the course |
Statistics
in Meteorology |
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Professor (lectures) |
Ivana
Tošić |
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Professor/associate (examples/practical) |
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Professor/associate (additional) |
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ECTS |
7 |
Status
(required/elective) |
required |
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Access requirements |
Mathematics
1 |
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Aims of the course |
To
learn students with basics of probability theory and statistics |
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Learning outcomes |
To
utilize statistical techniques for addressing problems in Meteorology |
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Contents of the course |
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Lectures |
The
theory of Probability - 1. Random events. 2. Clasical definition of
Probability. 3. Conditional Probability. 4. Independence of events. 5. The
one-dimensional random variables. 6. The two-dimensional random variables. 7.
Numerical characteristics of random variables. 8. Distribution functions. 9.
Laws of Large Numbers and Central Limit Theorem. Statistics - 10. Sample. 11.
Properties of Estimators. 12. Method
of Moments and Maximum Likelihood Estimation. 13. Hypothesis testing. 14. The
Chi-Square test. 15. Least-Squares Estimation. |
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Examples/ practical classes |
Using
various statistical software to perform data analysis. |
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Recommended books |
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1 |
Jevremovic,
V., 2009: Probability and statistics. Faculty of Mathematics, Belgrade, 321
pp. |
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2 |
Jevremovic,
V., Malisic, J., 2002: Statistical methods in Meteorology and engineering.
Federal Hydrometeorological Service, Belgrade, 296 pp. |
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3 |
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4 |
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5 |
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Number of classes (weekly) |
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Lectures |
Examples&practicals |
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Student
project |
Additional |
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4 |
3 |
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Teaching and learning methods |
Lectures,
exercises, seminars |
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Assessment (maximal 100) |
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assesed coursework |
mark |
examination |
mark |
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coursework |
5 |
written
examination |
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practicals |
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oral
examination |
50 |
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papers |
30 |
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presentations |
15 |
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