Teaching GuideTerm
Faculty of Computer Science
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Mestrado Universitario en Técnicas Estadísticas (Plan 2019)
 Subjects
  Resampling Techniques
   Assessment
Methodologies Competencies Description Qualification
ICT practicals A19 A21 A24 A25 B1 B2 B17 B19 B20 C12 C14 C15 Using the software R to implement the bootstrap method in some setup.
40
Problem solving A18 B5 C11 C14 C15 Original work on the bootstrap on some relevant setup. 10
Multiple-choice questions A23 A20 A16 A15 A9 A14 A12 A11 B3 B9 B10 B15 B16 B18 B21 C6 C13 Comprehension Test. 40
Oral presentation A7 A13 B3 B4 B5 B8 C9 C11 C15 Presentation of the original work on the bootstrap on some relevant setup. 10
 
Assessment comments

The assessment will be carried out using R practicals, a student work (in groups), as well as a written concept test. The concept test score will be 40% of the total qualification, the R practicals will correspond to 40% of the global score, while the remaining 20% will correspond to the student work (in groups), that has to be presented orally.

To pass the subject is necessary to obtain a score of at least 5 out of 10 overall.

On July opportunity, students could avoid those tests with scores of at least 4 out of 10 in January tests.

Only students that didn't take any test will be qualified as NON ATTENDANT in the first opportunity (January-February). In July opportunity only students that didn't take the final exam will be qualified as NON ATTENDANT.

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