Methodology Lectures: The main concepts of the course will be introduced. Although some of the material may constitute a review for certain students, it will be presented from a different perspective. Emphasis will be placed on the interpretation of the results and on the connection between these concepts and their applications. Examples will be provided to enable students to develop the skills needed to solve problems independently.

Problem sessions: The proposed exercises will be discussed in class. Problem sets will be distributed in advance and students are expected to work on them individually before the corresponding session.

Computer sessions: After an introduction to the computational tools used in each session, students will solve the exercises included in the laboratory guide. Numerical simulations will also be carried out to support the understanding of the theoretical concepts.

Authonomous activities: Individual study of the theory: Students are expected to reflect on and deepen their understanding of the material presented in class by using the lecture notes and the recommended bibliography. Preparation for the problems sessions: Students should attempt to solve the proposed exercises in advance in order to identify any questions or difficulties. This preparation will enhance the effectiveness of the in-class discussion of the solutions.

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.

-Theory and problems module (80% weight): The evaluation of this module will consist of three exams that will be carried out throughout the course. In case the overall mark of these exams is less than 5, the student will be allowed to participate in a global "second-chance exam". The maximum mark in the second-chance exam is 7 and replaces the marks obtained in the three exams.

-Computer practice module (20% weight): At the end of laboratory sessions 2 and 4, a short assessment will be administered to evaluate the tools and concepts covered in the previous laboratory sessions. The practical assessment grade is not recoverable.

-Students will receive the grade "Not Assessed" if the assessment activities completed account for less than 67% of the final course grade.

-Students who choose the single assessment option will take one comprehensive examination covering the theoretical contents, problem-solving exercises, and topics related to the laboratory sessions.

-This examination will be held on the same date as the third midterm examination, although its duration may be longer. The same resit policy as for continuous assessment will apply: students may take one comprehensive resit examination, with a maximum possible grade of 7.

-The use of Artificial Intelligence (AI) technologies is not permitted at any stage of this course. Any assignment containing content or passages generated by AI will be considered a breach of academic integrity and may result in a partial or total reduction of the grade for the assignment, or more severe disciplinary sanctions in serious cases. Any irregularity committed during an assessment activity—including academic fraud, plagiarism, or the improper use of artificial intelligence (AI), unless such use is explicitly authorized in the course syllabus—that may lead to a significant alteration of the assessment outcome will result in a grade of 0 for that assessment. If the course syllabus establishes that passing the course requires obtaining a minimum grade in that assessment, or if multiple irregularities are committed in different assessment activities within the same course, the final course grade will be 0. In addition, students found responsible for such irregularities may be subject to disciplinary proceedings in accordance with the University's academic regulations.