The course adopts an active methodology focused on problem-solving and the analysis of real-world cases.

Learning activities will include:

• Lectures introducing fundamental concepts.
• Problem-based learning and case discussions.
• Analysis of speech recordings and spoken corpora.
• Laboratory sessions using phonetic analysis tools.
• Critical reading and discussion of scientific literature.
• Progressive development of an applied project.
• Oral presentations and academic debate.

Particular emphasis will be placed on integrating theoretical knowledge, analytical procedures, and professional applications.

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 course adopts an active methodology oriented toward problem-solving and the analysis of real-life cases.

Learning activities will include:

• Lectures for the presentation of fundamental concepts.
• Problem-based learning and case discussions.
• Analysis of speech recordings and spoken corpora.
• Laboratory practice using phonetic analysis tools.
• Critical reading and discussion of scientific papers.
• Progressive development of an applied project.
• Oral presentations and academic debate.

Particular emphasis will be placed on integrating theoretical knowledge, analytical procedures, and professional applications.

Assessment

Assessment is continuous and focused on the practical application of content.

Practical 1. Applied project design (30%)

Individual work aimed at formulating a research or intervention question, defining objectives, selecting data, and proposing a methodology.

Practical 2. Partial development of the applied project (30%)

Individual or small-group work consisting of the application of a specific technique, analysis, or procedure related to the final project.

Final applied project and oral presentation (40%)

Individual or small-group work in which a study or intervention based on real speech data will be developed. The project will include: theoretical framework; objectives; methodology; data analysis; interpretation of results; conclusions. The project will be presented orally in a final session lasting approximately ten minutes.

To pass the course, students must demonstrate the acquisition of analytical and applied competencies in the field of phonetics.

Students will receive a “Not assessable” grade if they have not submitted more than 30% of the assessment activities.

Students who have completed or submitted more than 30% of the assessment activities will be graded according to the established weighting.

Regarding resits, students are eligible if they have previously completed two-thirds of the assessment activities. To be eligible, they must have obtained a weighted grade of at least 3.5.

Remarks

Regarding written expression, students are expected to produce coherent paragraphs and complete texts. Spelling, punctuation, and discourse structure errors will be penalised (-0.25 per error).

Students are expected to be familiar with the general rules for academic writing and submission.

Irregularities in assessment activities

If a student commits any irregularity that may lead to a significant change in the grade of an assessment task, that task will be graded as 0, regardless of any disciplinary procedure that may be initiated.

If multiple irregularities occur in the assessment activities of the same course, the final grade will be 0.

Activities involving irregularities (copying, improper use of AI, etc.) will not be eligible for resubmission.

Use of Artificial Intelligence (AI) technologies

The use of AI technologies is permitted in this course as part of the development of coursework, provided that the final output reflects a significant contribution from the student in terms of analysis and personal reflection. Students must:

(i) identify which parts were generated using AI;

(ii) specify the tools used;

(iii) include a critical reflection on how these tools influenced the process and the final outcome.

Failure to be transparent about the use of AI will be considered academic dishonesty and will result in a grade of 0 with no possibility of resubmission, or more severe sanctions in serious cases.

Assessment tasks and review procedure

At the beginning of the course, the methodology and assessment tasks will be explained. Later, specific guidelines will be provided. Detailed instructions, criteria, and deadlines will be available on the course virtual platform.

The review procedure will vary depending on the type of assessment and will be announced in due course.

Assessment schedule

The assessment schedule will be published during the first week of the course on the virtual platform.

Single assessment

Single assessment consists of a single assessment date, but not a single activity. It includes:

• Applied project design (30%)
• Partial development of the applied project (30%)
• Final applied project and oral presentation (40%)

All activities will take place on a single day, which will be announced together with the assessment schedule during the first week of the course on the virtual platform.

The same resit system as for continuous assessment will apply.

Exchange students who request to take an exam earlier must provide the lecturer with an official written document from their home university justifying their request.