| Course title | Applied Statistics |
|---|---|
| Course code | KGE/XAS |
| Organizational form of instruction | Lecture + Exercise |
| Level of course | unspecified |
| Year of study | not specified |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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A first look at data: Data acquisition, consolidation, representation A single attribute: Categorial and continuous variables, descriptive stats and visualization Two attributes: Visualization, correlation Multi-dimensional data Probability and random variables Conditional probability and the Bayes Theorem Principles of hypothesis testing Basic problems of multidimensional statistics: classification, regression, cluster analysis, PCA
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| Learning activities and teaching methods |
| unspecified |
| Learning outcomes |
| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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unspecified
Written final test |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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