The structure of the course, in which different practical activities are carried out, seeks to internalise skills related to the management of Big Data (search, extraction, analysis and publication of data for decision-making). Its methodology is completely practical. Through laboratory activities, workshops and the final project, both the theoretical component of the subject and the practical application of the contents studied are evaluated.

The continuous assessment of the course, in which specific and continuous short-term practical activities are carried out, allows for a very precise monitoring of the student's learning and progression. In addition, activities are done progressively on the acquisition of knowledge that, step by step, is involved in the next activities.

The Introduction to Big Data course includes three types or categories of assessable training activities:

Laboratory exercises: individual or team work in which practical activities are carried out with a punctual deliverable with a time limit. Students must apply the knowledge, distribute the time and prepare the deliverables within the classroom and in the hours set aside for practice under the guidance of the professor.

Seminars: individual or team work involving more extensive practical activities with deliverables open to students' creativity. There are no time limits in the classroom, but there are deadlines. Students must apply knowledge, allocate time and prepare deliverables by starting their work in the classroom, but continuing it in the form of activities supervised by the teaching team.

Development of the final course work: practical group evaluation exercise in which students must solve, during the course, a practical application problem related to Big Data. Students must state the problem and carry out the four processes to provide a proposed solution based on large amounts of data: search, extraction, analysis and publication of a data report that includes a proposed decision based on the information collected and analysed.

The course material includes texts in SPANISH and ENGLISH: student are expected to have an operative control of these languages.

The detailed calendar with the content of the different sessions will be displayed on the day of the subject presentation and will also be available on the subject's Virtual Campus, where students will be able to find the various teaching materials that the teaching staff deems appropriate and all the information necessary for the proper follow-up of the subject. In the event of a change in teaching modality due to force majeure according to the competent authorities, the teaching staff will inform of the changes that will occur in the subject's programming and teaching methodologies.

15 minutes of a class will be reserved, within the calendar established by the center/degree, for students to complete the surveys to evaluate the performance of the teaching staff and to evaluate the subject/module.

The content of the subject will be sensitive to aspects related to the gender perspective and the use of inclusive language.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Continuous evaluation

The assessment activities are as follows:

Activity A: Laboratory exercises, which have a weight of 40% of the final qualification.

Activity B: Classroom exercises, with a weight of 30% of the final qualification.

Activity C: Courseworks, which weighs 30% of the final grade.

In order to pass the course, a minimum pass mark (5.0) must be obtained in each of the activities.

When it is considered that the student has not been able to provide sufficient evidence of assessment, this subject must be classified as non-assessable.

SINGLE-ASSESSMENT:

This course does not provide for a single-assessment system

REVALUATION:

In the last three weeks of the course, students who have not passed the course may sit a revaluation test consisting of a theoretical test and a practical exercise. The compulsory condition to be eligible for the revaluation of the course is to have done at least 2/3 of the total number of practical exercises of the course (activities A, B and C) and to have obtained an average mark equal to or higher than 3.5 (and lower than 5) in all the assessment activities.

In accordance with the above criteria, if a student does not complete at least 66% of the practical activities of the assessment activities, he/she will be considered as not assessable in this course.

SECOND ENROLLMENT:

In the case of second enrollment, students may take a single synthesis test that will consist of a theoretical test and a practical exercise. The qualification of the subject will correspond to the qualification of the synthesis test. The student who wants to take this synthesis test must notify the coordinator of the subject.

PLAGIARISM:

In the event that the student performs any irregularity that may lead to a significant variation of an evaluation act, this evaluation act will be graded with 0, regardless of the disciplinary process that could be instructed. In the event, that several irregularities occur in the evaluation acts of the same subject, the final grade for this subject will be 0.

AI:

For this subject, the use of Artificial Intelligence (AI) technologies is permitted exclusively in support tasks, such as bibliographic or information searches, text correction or translations, and in no case as a replacement for creative activities such as the production of texts, photos, videos, audios, graphics and spreadsheets. If in doubt, students should consult with the teaching staff. Students must clearly identify which parts have been generated with this technology, specify the tools used and, in the case of non-trivial uses, include a critical reflection on how these have influenced the process and the final result of the activity. The lack of transparency of the use of AI in this assessable activity will be considered a lack of academic honesty and may lead to a partial or total penalty in the grade of the activity, or greater sanctions in serious cases.

This subject doesn't provide for the single assessment system.

IRREGULARITIES:

The commission of any irregularity in an evaluation act (academic fraud, plagiarism or improper use of AI, unless such use is expressly authorised in the syllabus), which may lead to a significant variation in the grade, means that this act will be graded with a 0. In the event that the syllabus provides that to pass the subject it is an essential requirement to have obtained a minimum grade in this assessment act or that several irregularities occur in the assessment acts of the same subject, the final grade for this subject is 0. Apart from this, a disciplinary process may be initiated against the student who incurs any of these irregularities.

Any student suspected of presenting tasks that have been generated by AI, prepared by other people or copied; include content generated by AI without referencing, or that does not fall within the permitted assumptions, may be required to produce previous work or other materials that can demonstrate that it is an unpublished work and the result of his original authorship. He may also be asked to explain or justify his work separately. The teaching staff may also use AI use identification systems or carry out the verification tasks that they deem appropriate. If after the review it is detected that irregularities have been committed, the work may be graded with a zero and the student may be subject to further disciplinary measures.