The course combines active learning methodologies that integrate theory and practice, including interactive lectures, theoretical and practical seminars with required readings, case studies, individual and group tutorials, and Challenge-Based Learning (CBL). Within this framework, students address a real photographic challenge linked to a specific communication need. Working collaboratively, they progress through the three phases of CBL: Engage (understanding the challenge and developing empathy with the context), Investigate (conducting theoretical research, visual exploration, and photographic prototyping), and Act (implementing the proposed solution and evaluating both the process and its impact).

A detailed schedule outlining the content of each session will be presented on the first day of the course and will also be available on the course's Virtual Campus, where students will find the teaching materials provided by the instructors, along with all the information necessary to successfully follow the course. Should the teaching modality need to change due to force majeure in accordance with the decisions of the competent authorities, the teaching staff will inform students of any modifications to the course schedule and teaching methodologies.

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.

The exam will cover material from both the lecture and seminar/practical sessions. The dossier and any assigned readings are mandatory and may also be included in the assessment. Passing the course requires passing the theory exam. Students are entitled to a resit (second-sitting exam) as long as they were assessed on activities accounting for at least two-thirds of the final course grade.

Failure to attend the exam will result in a grade of Not Assessable.

Grade reviews will take place during office hours. An appointment must be scheduled in advance by email.

This course does not offer a single-assessment system.

Any irregularity in an assessment (academic dishonesty, plagiarism, or improper use of artificial intelligence, unless such use is explicitly permitted in the course guide) that could meaningfully affect the grade will result in that assessment receiving a 0. If the course guide requires a minimum grade on that assessment to pass the course, or if multiple irregularities occur across assessments within the same course, the final grade will be 0. Students who commit any of these irregularities may also face disciplinary action. Students suspected of submitting work written by someone else, or copied, may be asked to provide earlier drafts or other materials proving the work is original. Instructors may also ask students to explain or defend their work in person, run AI-detection checks, or take any other steps they deem necessary.

AI technologies may be used in this course for the supporting tasks defined at the start of the term. Using AI to generate visual or written content is allowed only when an assignment's instructions explicitly say so. Beyond that, using AI to produce all or part of any graded work is not permitted.

Students must clearly flag any AI-generated content, name the tools they used, and include a short reflection on how AI shaped their process and final result. Failing to disclose AI use on a graded assignment counts as an academic integrity violation and can lead to a partial or full grade penalty, plus further sanctions in serious cases.