Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Técnicas Estadísticas (Plan 2019) |
Subjects |
Resampling Techniques |
Recommendations |
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Identifying Data | 2023/24 | |||||||||||||
Subject | Resampling Techniques | Code | 614493130 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
Second | Optional | 5 | ||||||||||
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Subjects that it is recommended to have taken before | |||||||
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Subjects that are recommended to be taken simultaneously | ||
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Subjects that continue the syllabus | |||
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Other comments | |
As stated in the different applicable regulations for university teaching, the gender perspective must be incorporated in this course (non-sexist language will be used, bibliography of authors of both genders will be used, intervention in class of both male and female students will be encouraged, etc.) Work will be done to identify and modify prejudices and sexist attitudes. The environment will be influenced to modify these prejudices and attitudes, to promote values of respect and equality. Situations of discrimination based on gender must be detected. Actions and measures to correct them will be proposed. |
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