Note: Before the start of the course, students will have a schedule of activities and subject syllabus available in the virtual classroom.

1.-Teaching system

Cooperative learning and the case method. Classes

2.-Theoretical classes and seminars:

  The theoretical classes will be accompanied by audiovisual means.

  The seminars will be based on the presentation of real cases and discussion of their ways of prevention. In order for students to be able to carry out the required exercises, a practical guide will be provided.

In addition, in the seminars, students make presentations of group work.

 3.-Presence hours

The course will have 13 weeks, 39 hours of teaching in lectures and seminars  (19.5 hours of theory and 19.5 hours of seminar) The rest of the hours (111), up to 150, will be distributed between hours of evaluation and hours of homework.

Evaluation model:

Attendance

Attendance is mandatory. The lecturer will record both justified and unjustified absences at each session. Absences may only be justified for reasons of illness, force majeure, or academic reasons previously authorized by the lecturer.

Students who do not attend at least 80% of the teaching activities will not be able to pass the course.

Students will be considered eligible for assessment only if they have completed activities representing at least two-thirds (2/3) of the total course grade. If the value of completed activities does not reach this threshold, the lecturer may classify the student as "Not Assessable" (NA).

Justified absences cannot negatively affect the student's evaluation. The lecturer must provide opportunities for students to make up work missed due to justified absences. To be considered justified, an absence must be documented. Only absences resulting from unforeseen force majeure circumstances, such as illness or similar situations preventing attendance, will be accepted.

Participation in other academic activities related to the degree program may be considered a justified absence if previously approved by the course lecturer.

Classes begin and end punctually. Except in cases of force majeure, students may neither enter after the class has started nor leave before it has ended.

Assessment Model

A) Continuous Assessment System

Attendance at both lectures and seminars is mandatory. Students must attend at least 80% of classes; otherwise, they will not be able to pass the course.

General criteria such as the student's level of participation and ability to relate conceptual content to practical procedures will be assessed, always within the ethical framework of the profession.

Absences

Absences may only be justified due to illness, force majeure, or academic reasons previously authorized by the lecturer.

Students have the opportunity to retake both continuous assessment activities and, where applicable, the final examination. Under no circumstances may a review process result in a lower grade.

There are five assessment activities. All must be passed with a minimum grade of 5/10 in order to pass the course.

Assessment Components

• Online Portfolio (Dossier): Compilation of all course content, including lectures, visual materials, readings, group work conclusions, and other activities. 20% of final grade. References and citations to the recommended bibliography are mandatory.
• Individual Assignment (PAC 1): 20% of final grade
• Group Project and Presentation (PAC 2): 30% of final grade
• Final Individual Assessment Test: 20% of final grade
• Attendance and Class Participation: 10% of final grade

Additional Requirements

• Active participation in classes.
• Completion of both individual and group assignments.

B) Single Assessment Model

Students choosing the single assessment option will be evaluated through a final examination designed to demonstrate acquisition of all course competencies.

Description of the Final Examination

The final examination consists of:

• Multiple-choice test
• Two written exercises
• Reading and understanding of course materials required to complete the exercises and answer the examination questions

Duration: 2 hours

Examination Structure

15 multiple-choice questionsEach correct answer: 0.4 points

Maximum score: 6 points

One correct answer will be deducted for every two incorrect answers. Unanswered questions are not penalized

Exercise 1: Practical Case StudyWorth 2 points

Mandatory; failure to complete it will result in failing the examination

Exercise 2: Bibliographic Text CommentaryWorth 2 points

Mandatory; failure to complete it will result in failing the examination

The maximum grade obtainable through the resit examination is 5/10.

Assessment Criteria

Students obtaining a score below 5/10 in the examination must take the resit assessment.

The resit examination will follow a similar format to the original examination but will contain different questions and topics.

Resit Opportunities

Students who fail any assessment activity will have one opportunity to retake it.

The lecturer will specify the requirements and conditions for recovering failed components, whether within continuous assessment or the final examination.

Cheating and Plagiarism

Any student who copies or attempts to copy during an examination will receive a grade of 0 for the course and will lose the right to reassessment.

Any student submitting coursework containing evidence of plagiarism, or who cannot justify the arguments presented in their work, will receive a grade of 0 and a formal warning.

In the event of repeated misconduct, the student will fail the course (0) and lose the right to resit assessments.

Use of Artificial Intelligence (AI)

Restricted Use:

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks such as:

• Bibliographic or information searches
• Text correction and proofreading
• Translation

Students must clearly identify any content generated using AI technologies, specify the tools used, and include a critical reflection explaining how these tools influenced both the process and the final outcome of the activity.

Failure to disclose the use of AI in assessable activities will be considered a breach of academic integrity and may result in partial or total grade penalties, or more severe disciplinary sanctions in serious cases.