Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Statistical Analysis of Complex Data
   Recommendations

Subjects that it is recommended to have taken before
Statistical Analysis of Dependent Data/614G02022
Regression Models/614G02012
Statistical Modeling of High Dimensional Data/614G02013
Statistical Inference/614G02007
Probability and Basic Statistics/614G02003

Subjects that are recommended to be taken simultaneously
Spatiotemporal Data Representation and Management/614G02035
Simulation and Resampling Techniques/614G02036

Subjects that continue the syllabus
Omics Data Management and Modeling /614G02042

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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