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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
 Subjects |
| Design and Analysis of Experiments |
| Learning aims |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Design and Analysis of Experiments | Code | 614493010 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 5 | ||||||||||
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| Learning outcomes | Study programme competences | ||
| To be able of planning experiments following a set of suitable stages, identifying all sources of variation, specifying the experimental procedure and the anticipated difficulties, and formulating proper mathematical models. | AC2 AC9 |
BJ6 BJ10 BJ11 |
CJ1 CJ2 CJ3 CJ5 CJ7 CJ8 |
| To use statistical software fluently. | AC4 AC10 |
BJ12 |
CJ4 |
| To acquire capability to take part from a multidisciplinary team by working on experimental analysis. | BJ11 |
CJ8 CJ9 |
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| To be able of performing a critical review of the attained results. | AC9 |
BJ10 BJ13 |
CJ10 |
| To obtain knowledge on the basic principles of the design of experiments. | AC4 AC6 |
BJ6 BJ10 BJ11 |
CJ1 CJ2 CJ5 CJ6 |
| To manage a broad range of suitable design structures to be able of describing properly the performance of data coming from experimental planning processes. | AC2 AC6 AC10 |
BJ11 BJ13 |
CJ1 CJ5 CJ6 CJ7 |
| To know a range of statistical techniques to analyze data coming from the experimental planning processes. Specifically, knowlegede on how performing inference on model parameters. | AC4 AC6 AC10 |
BJ13 |
CJ5 CJ6 |
| To know specific procedures to perform a critical and rigorous analysis of the results. | AC2 AC9 |
BJ13 |
CJ2 CJ10 |
| To complete the learning process with the support of statistical software. | AC4 AC10 |
BJ12 |
CJ4 |
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