The development of the training activities of the course is based on: theory classes, seminars, classroom practices and computer practices, each of them with its specific methodology. Likewise, a series of activities are proposed that will allow the student to take an active role in the teaching-learning process.

Classes of theory: The student acquires the scientific knowledge of the subject by attending theory classes. These are classes with TIC-TAC support in which the teacher exposes the subject but also asks for the participation of the student. Likewise, activities prior to the sessions are proposed that allow the student to intervene more actively in the teaching-learning process. The audio-visual material used in class can be found by the student in the Moodle space of the subject.

Classes of practices and seminars: The knowledge acquired in theory classes and in personal study are applied to the resolution of practical cases. Students work in small groups allowing them to acquire the ability to work in groups and to analysis and synthesis. It also allows to apply statistical resources in the interpretation of data. The student will be able to access the practice guides through the Moodle space. The practical classes are directed to support the development of the demography and epidemiology project (work by group project or ApS project) and and to work on concepts related to the topics of nutrition and human adaptation.

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 ASSESSMENT

As this is a continuous assessment course, students’ participation in the learning activities proposed in class, the preparation and presentation of the research or Service-Learning (ApS) project, the nutrition and natural selection practical reports completed during face-to-face practical sessions, and the grades obtained in the partial assessment tests will be taken into account according to the following weighting:

• Partial Examination I: 20%
• Partial Examination II: 20%
• Research or Service-Learning (ApS) Project in Demography and Epidemiology (group work): 40%
• Nutrition and Natural Selection Practical Reports: 10%
• Participation in the learning activities proposed in class: 10%

Attendance at practical sessions, classroom practicals, and seminars is mandatory.

The course will follow a continuous assessment model. Therefore, throughout all activities, including theoretical sessions, students will be required to actively engage in various tasks designed to facilitate the learning process.

In the case of the group research or Service-Learning (SL) project, the assessment will take into account the entire development process throughout the semester, including periodic submissions and tutorials. The final outcome will also be evaluated in terms of the quality of the information used, the project presentation and defence, as well as the self-assessment and peer assessment carried out by the group members. The project (both the written/digital format and the oral presentation and defence) may be completed in Catalan, Spanish, or English. The assessment of the project will be carried out using rubrics that will be made available to students at the beginning of the course.

Two partial examinations (Partial I and Partial II) will be held. Students must obtain a minimum grade of 4.0 in each examination in order to pass the course.

Resit Assessment

If necessary, both the project grade and the grades obtained in the partial examinations may be retaken.

To be eligible for the resit assessment, students must previously have been assessed through activities accounting for at least two-thirds of the total course grade. Therefore, students will receive a “Not Assessed” grade when the completed assessment activities represent less than 67% of the final course grade.

Students may also use the resit examination to improve their grades in the partial examinations. In this case, the grade obtained in the resit examination will be the one considered, regardless of whether it is higher or lower than the previous grade.

The weighted average of all assessable activities described above must be 5.0 or higher to pass the course.

SINGLE ASSESSMENT

This course offers a single assessment system, although attendance at practical sessions remains mandatory. The single assessment consists of the following activities:

1. Written Examination: A written examination covering the entire course syllabus. The examination will include multiple-choice and open-ended questions, as well as the resolution of several problems. This examination accounts for 50% of the final grade, and a minimum grade of 4.5 is required to pass the course. The examination will be held on the same date as Partial Examination II.

2. Research or Service-Learning (ApS) Project: Under the single assessment system, the course project will be completed individually, and no periodic submissions will be required. During the semester, students opting for single assessment may arrange tutorials with the teaching staff if needed. The final project must be submitted in written format following the structure of a scientific paper and must be handed in on the same day as Partial Examination II. The project accounts for 40% of the final grade.

3. Nutrition and Natural Selection Practical Reports: 10% of the final grade (to be submitted at the end of each practical session).

Resit Assessment

If necessary, students may resit both the project and the written examination on the date scheduled for the course resit examination.

Artificial Intelligence:

For this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for support tasks, such as bibliographic or information searches, text editing and proofreading, translations, or other uses authorised by the teaching staff.

Students must clearly identify which parts of their work have been generated using AI technologies, specify the tools used, and include a critical reflection on how these tools influenced both the process and the final outcome of the activity.

Failure to disclose the use of AI in an assessed activity will be considered a breach of academic integrity and may result in a partial or total penalty in the activity grade, or more severe sanctions in serious cases.

Irregularities in Assessment Activities:

Any irregularity committed during an assessment activity (academic fraud, plagiarism, or unauthorised use of AI, unless such use is expressly authorised in the course guide) that may lead to a significant alteration of the assessment result will result in a grade of 0 for that activity.

If the course guide establishes that obtaining a minimum grade in that assessment activity is a mandatory requirement for passing the course, or if multiple irregularities occur in assessment activities within the same course, the final grade for the course will be 0.

In addition, disciplinary proceedings may be initiated against any student involved in such irregularities.