Teaching GuideTerm
Faculty of Computer Science
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Grao en Ciencia e Enxeñaría de Datos
 Subjects
  Statistical Modeling of High Dimensional Data
   Assessment
Methodologies Competencies Description Qualification
Oral presentation A1 B2 B3 B4 C4 Oral presentation of the work (in pairs of students) mentioned in the "Problem solving" item. 10
ICT practicals A9 A12 A17 A18 A19 A20 A26 A33 A3 A4 A5 A6 A8 B7 B9 B10 C1 C2 C3 Computer labs using the open statistical software R. 40
Problem solving A17 A33 A2 B2 B5 B6 B7 B8 B10 Work (in pairs of students) related to the topics 0-3 of the course. 10
Multiple-choice questions A19 A24 A25 A1 B3 B8 Comprehension tests. 40
 
Assessment comments

The assessment will be carried out through two tests on R labs, a work in pairs of students, as well as two written concept tests. The first of the tests on R labs and the first of the concept tests will be held approximately in the middle of the semester, and they will be related to topics 0-2. The corresponding second tests of both R labs and concepts will be held in the official exam date, in January 2022. These second tests will include all the topics given in the course, but those students who pass each of the first tests will be allowed to avoid topics 0-2 so that they will be evaluated only in topics 3-4.

Both the qualification of the R labs tests and the qualification of the concept tests will be 40% of the total qualification each, while the remaining 20% will correspond to the pairs student work, that has to be presented orally, in the second half of the semester. The half of the score of this pairs work (10% of the total score) corresponds to its oral presentation.

In summary, the assessment scoring will be the following:

  • Work in pairs: 20% of the total score (10% solving the practical exercise in R and 10% oral presentation).
  • Concept tests: two concept tests will be carried out (each one of them corresponds to the 20% of the total score). The first of the exams, related to Topics 0-2, will take place in the middle of the quadrimester. The second exam, related to Topics 3-4, will be carried out the day of the official exam. Note that students will avoid Topics 0-2 in the second exam if they pass the first exam, unless they pass it but want to get a higher score. Moreover, if students do not take the first exam, they will be evaluated (the day of the official exam) with two parts: one related to Topics 0-2 and another related to Topics 3-4. The sum of these two parts is the 40% of the total score.
  • Tests on R labs: following the same idea as for the concept tests, there will be two tests on R labs (each one of them corresponds to the 20% of the total score), using statistical software, R. The first exam, related to the R labs of Topics 0-2, will take place in the middle of the quadrimester. The second exam, related to the R labs of Topics 3-4, will be carried out the day of the official exam. Note that students will avoid Topics 0-2 in the second test on R labs if they pass the first exam, unless they pass it but want to get a higher score. Moreover, if students do not take the first exam, they will be evaluated (the day of the official exam) with two parts: one related to Topics 0-2 and another related to Topics 3-4. The sum of these two parts is the 40% of the total score.

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 (2nd opportunity) only students that didn't take the final exam will be qualified as NON ATTENDANT.

If a student wants to take a test in a specific official language (Spanish or Galician), he/she must inform the professor at least 1 week in advance.

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