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Teaching GuideTerm Faculty of Computer Science |
| Grao en Intelixencia Artificial |
 Subjects |
| Statistics |
| Recommendations |
| Identifying Data | 2023/24 | |||||||||||||
| Subject | Statistics | Code | 614G03004 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Graduate | 2nd four-month period |
First | Basic training | 6 | ||||||||||
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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 |
| Subjects that continue the syllabus |
| Other comments | |
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-Non-sexist language will be used, a bibliography of authors of both sexes will be used, the intervention of male and female students will be promoted in class. -Work will be done to identify and modify prejudices and sexist attitudes and the environment will be influenced to modify them and promote values of respect and equality. -It will try to detect situations of discrimination based on gender and propose actions and actions to correct them. |
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