The course will employ a variety of teaching methods:

a) Experiential learning – Practical training in a professional environment, supervised and mentored by an expert in the field.

b) Self-assessment tasks – Conducted in the classroom as part of the development of key professional competencies. Activities will include mock job interviews and negotiation exercises, contextualized within recruitment processes led by guest companies offering future career opportunities to students.

c) Independent work – After engaging with industry professionals who will help students understand operational procedures and professional roles within the sector, students will be encouraged to work independently—supported by the academic tutor when needed—to define their career objectives post-graduation.

While in the internship, each student is expected to observe the organization’s culture and values, and to adhere to the work and conduct standards established by the host establishment where the internship takes place. The internal regulations of the Center’s internship program, as well as the instructions provided by the academic tutor, also apply.

IMPORTANT: The use of mobile phones, tablets, laptops, or any other digital device is strictly limited to the explicit instructions given by the tutor. Unauthorized use of these devices during the session may result in academic consequences in accordance with the institution’s regulations.

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.

Assessment: This subject does not offer a single final assessment option.

The evaluation is based on the following components:

a) Attendance and participation in meetings, workshops, seminars, events, and activities organized by the Center, including those held during the Professionalization Week (such as the University–Industry Workshop). This component accounts for 20% of the final grade.

b) Monitoring of the internship and the evaluation report completed by the company tutor, which must be submitted no later than the official exam date (see exam calendar). This component represents 40% of the final grade.

c) Internship report written by the student, also to be submitted no later than the official exam date. This report constitutes the remaining 40% of the final grade.

Additional follow-up by the academic tutor with the student and/or the company tutor may be considered during the internship period. The use of this support is encouraged, especially when facing challenges, as it promotes the development of key professional competencies.

The subject will be marked as Not Assessable if the student completes less than half of the assessment activities and/or does not attend the final exam, which consists of the memo report and the tutor evaluation form. They must be delivered via the online campus with the period specified on Moodle.

Important:

• To pass the subject, students must pass all three components mentioned above.
• Students will be provided with the key course dates, which serve as official exam dates and are essential for eligibility for final evaluation.
• This subject allows the use of AI technologies exclusively linked to tasks specified by the tutor. The student must clearly (i) identify which parts have been generated using AI technology; (ii) specify the tools used; and (iii) include a critical reflection on how these have influenced the process and outcome of the activity. Lack of transparency regarding the use of AI in the assessed activity will be considered academic dishonesty; the corresponding grade may be lowered, or the work may even be awarded a zero. In cases of greater infringement, more serious action may be taken.