The working hours specified in the training activities table correspond to an average student: naturally, not all students need the same time to learn concepts and carry out certain activities, so the time distribution should be understood as indicative.

Before the start of the course, students will have a subject calendar posted on the virtual campus where the days and times on which each of the different activities will be carried out will be listed.

Guided training activities

Lectures and practical problems of block 1: in these classes the teacher explains the theory of acquisition, treatment and analysis of data necessary for carrying out the practices.

Laboratory practices: students must carry out, in sessions of 3 hours in duration and in groups of 2 people, practices related to different aspects of general physics. The laboratory rules will be distributed before the start of the practices, together with the schedule of practices that each group must carry out. Laboratory practices will be carried out throughout the course, 3 in the first semester and 5 in the second (the updated calendar will be available on the virtual campus).

Programming and algorithmic classes: in these classes the teacher explains the theory of programming and then the students must do and/or start practical exercises with the help of the teaching staff.

Supervised training activities

The students must complete and/or do the practical programming exercises proposed in block 3.

Independent training activities

Study and preparation for exams: Students must dedicate time to studying the contents of the theory, solving problems and preparing for the different exams.

Preparation for laboratory practices: It is an essential requirement to enter the laboratory to carry out a practice that the student has prepared well for the practice. This means not only having read the script of the practice, but also having consulted the necessary books in order to understand the concepts related to the practice well and bringing the laboratory notebook or a file on the laptop with all the expressions that must be deduced or obtained from calculations (for example, the evaluations of the combined uncertainty) already developed. In this way, the student will be able to carry out the complete practice within the 3 hours available and will not have time problems.

Note: 15 minutes of a class will be reserved, within the calendar established by the center/degree, for the completion by the students of the surveys evaluating the performance of the teaching staff and evaluating the subject/module.

Assessment in this course is continuous throughout the semester and is based on the following activities:

• Assessment of Block 1: Physical Quantities and Data Processing (25%). Lecturer: Carles Domingo.
• Assessment of Block 2: Experimental Data Acquisition (45%). Lecturer: Lluís Font.
• Assessment of Block 3: Programming and Algorithms (30%). Lecturer: Juan Campos.

The lecturers responsible for each activity reserve the right to conduct more than one assessment if deemed appropriate. Each lecturer will provide the specific assessment criteria for their activity through the Virtual Campus.

Detailed assessment of each block

Physical Quantities and Data Processing

This block accounts for 25% of the final course grade. In the first midterm assessment, students must pass a basic test (10%) and solve a set of exercises (15%).

Important: Passing the basic test is a mandatory requirement to pass the course. Passing the test means answering all questions correctly, with no mistakes. Students will have several opportunities throughout the semester to pass the test. The mark awarded for the basic test will decrease as the available attempts are used, according to the criteria established by the lecturer. Regardless of the mark obtained, passing the basic test is compulsory.

Experimental Data Acquisition. Laboratory Sessions

The laboratory grade is based on the assessment of the laboratory sessions (45%).

During each laboratory session, the instructors will assess each student's level of preparation, practical skills, and learning progress by supervising their work and asking individual oral questions. At the end of each session, each group must submit an answer sheet to the laboratory instructors, and its assessment also contributes to the laboratory grade.

Attendance at laboratory sessions is compulsory. If an absence is justified, the student must provide supporting documentation to the laboratory coordinator (Lluís Font). Whenever possible, the missed laboratory session will be rescheduled on a date agreed upon with the laboratory coordinator.

If the absence is not justified, the laboratory session will be graded 0. Students with two or more unjustified absences will automatically fail the course.

Programming and Algorithms

The lecturer responsible for this block will inform students at the beginning of the semester about the assessment procedure for Block 3.

IMPORTANT

1. To pass the course, students must be assessed in all assessment activities. Failure to attend any assessment activity will result in failing the course. In the case of the single assessment system, the applicable regulations are described in point 3.
2. Due to the experimental nature of this course and the continuous assessment of laboratory work, there is no resit assessment.
3. Single Assessment

Due to the experimental nature of this course, students must participate in certain assessment activities throughout the semester regardless of whether they have opted for the single assessment system. These compulsory activities are the laboratory sessions (45% of the final grade) and the programming and algorithms assessment activities established by the lecturer responsible for Block 3.

Students who have opted for the single assessment system will be assessed on the remaining percentage of the final grade as follows:

They must take a theoretical examination covering the contents of Blocks 1 and 3, together with any required programming assignments.

If they fail the course, they will have a second opportunity through an examination similar to the first one. It should be noted that passing the basic test remains a compulsory requirement for passing the course. Therefore, students following the single assessment system will have two opportunities to pass the basic test.

NOT ASSESSED

If a student does not attend assessment activities (examinations, laboratory sessions, etc.) accounting for 50% or more of the final course grade, the final mark will be Not Assessed.

In all other cases, any missed assessment activity will be graded 0, and the final grade will be Fail.

USE OF ARTIFICIAL INTELIGENCE

In this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively as a support tool for programming and algorithm assignments.

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

Failure to disclose the use of AI in this assessable activity will be considered a breach of academic integrity and may result in a partial or total reduction of the activity grade, or more severe disciplinary measures in serious cases.