All the information of the subject and the related documents that the students need will be found in the page Caronte (http://caronte.uab.cat/), the menu of the subject Knowledge, reasoning and uncertainty. The different activities that will be carried out in the subject are organized as follows:

Lectures

The main concepts and algorithms of each theory topic will be presented. These subjects suppose the starting point in the work of the subject.

Problem seminars

They will be classes with small groups of students, which facilitate the interaction, or of individual character, according to the cases. In these classes, practical cases will be considered that require the design of a solution in which the methods seen in the theory classes are used. It is impossible to follow the kinds of problems if the contents of the theory classes are not followed. The result of these sessions is the resolution of the problems that must be delivered on a weekly basis. The specific mechanism for the delivery, and the evaluation process, will be indicated on the web page of the subject (Charon space).

Laboratory practicum

The working groups will be formed by groups of 3-4 students and should form the second week of the course. These working groups must be maintained until the end of the course and they must self-manage: role distribution, work planning, assignment of tasks, management of available resources, conflicts, etc. Although the teacher will guide the learning process, his intervention in the management of the groups will be minimal.

One of the project in this lab sessions will be individual.

At the beginning of every 2 sessions of lab, the problems to be solved will be presented and the students will define their own project. Throughout the semester, students will work in cooperative groups and should analyze the chosen problem, design and implement solutions based on different computational learning algorithms seen in class, analyze the results obtained in eachof themethods and defend their project inpublic.

To develop the project, the groups will work autonomously and the practice sessions will be devoted mainly to answer questions with the teacher who will monitor the status of the project, indicate errors to be corrected, propose improvements, etc.

Some of the sessions will be marked as control sessions in which some part of the project must be delivered. In these sessions the groups must explain the work done and the teacher will ask questions to all group members to assess the work done. Attendance at these sessions is mandatory.

In the last session of the last practicum project, the groups will make a presentation of the project where they will explain the project developed, the solution adopted and the results obtained. In this presentation each member of the group must make a part of the presentation.

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.

Evaluation Activities and Instruments

To assess the achievement of the knowledge and competencies associated with this course, an evaluation mechanism is established that combines the assimilation of knowledge, problem-solving ability, and, significantly, the ability to generate computational solutions to complex problems, both in groups and individually.

With this objective, the evaluation is divided into three parts:

Evaluation of theoretical-practical content

The final content grade will be calculated from several partial tests:

Content Grade = 1/N * Test_i

The number of tests may vary and there will be at least 2. To obtain a content grade, the grade for each of the tests must be higher than 4.

The partial tests will take place during the course and may be practical in nature (proposing an algorithm to solve a problem statement, solving specific problems), or conceptual in content, answering various questions about the material covered in the "theory" sessions.

These tests are intended to be an individualized assessment of the student's ability to solve problems using the techniques explained in class, as well as to evaluate the level of conceptualization the student has developed of the techniques covered.

Make-up (resit) tests: If the content grade does not reach the adequate level in any of the tests, in order to obtain a final grade sufficient to demonstrate achievement of the knowledge, students may sit the make-up tests of the course's examination period to be assessed on the content covered in the part(s) not passed. If a student sits a resit to improve their grade, the higher grade prevails.

There are no exemptions (validations) if the theory part was passed in previous years.

Evaluation of the practical projects

The evaluation of each project will include:

• Joint evaluation of the project: a single grade for all members of the working group, assessing the overall result of the project, the quality of the code, the general structure of the final presentation, and the documents delivered throughout the project.
• Individual evaluation of each group member: individual work will be assessed based on the answers to questions in the monitoring sessions and in the final project presentation.
• Peer evaluation: a brief confidential questionnaire rating each group member's contribution to the final result.

The project grade will take into account the quality of the computational solution (code), the experimentation, the documentation, and the defense.

The final practical grade will be the average of the project grades, with a minimum of 3.5 required in each of them. If this minimum is not achieved in any of the projects, the final practical grade will be capped at 3.5.

If any of the practical projects is not passed, resubmission of the code and the report of the failed projects will be allowed, but not the oral presentation, if the failed project includes one.

Repeating students who passed the practical part (minimum 6) in the previous year exclusively may resubmit the previous year's practical work, adding functionality or modifying the data in agreement with the practical sessions instructor, provided the project content is the same as or similar to the previous year's. Under no circumstances may these students form groups with first-year students.

There may be group projects and individual projects. Obviously, in the latter case, all group grades will become individual grades.

Evaluation of work in the problem-solving seminars

The problems are intended to get students continuously engaged with the course content through small problems that familiarize them directly with the application of the theory. As evidence of this work, students are asked to submit a portfolio in which they will have kept the problems they have completed. This portfolio will have a weekly digital submission on the virtual campus. Students can continuously self-assess, as the solutions to each set of problems will be available once the submission period has ended. Together with the tutoring hours, in case doubts arise, this is sufficient for each student to identify their weak points.

Problems Grade = Portfolio evaluation

Final grade

The final course grade is obtained by combining the evaluation of these 3 activities as follows:

Final Grade = (0.35 × Content) + (0.55 × Project) + (0.1 × Portfolio)

Conditions for passing the course:

• The final grade of the individual assessment tests must be greater than or equal to 4 in order to pass the course.
• The project grade must be greater than or equal to 6 in order to pass the course.

If the grade obtained by applying the formula in the previous section ("final course grade") were above 5 but the required minimum had not been met in any of the parts, the final grade in the academic record will be 4.5.

As many distinctions (matrícules d'honor) will be awarded as current regulations allow, provided the grade is above 9.0. Distinctions will be assigned in order of grades. If there are multiple candidates with the same evaluation eligible for a distinction, supplementary activities will be proposed to determine the best records.

A student will be graded as "Not Assessable" if they have no assessed part of either the theoretical or the practical content.

Important notices

• The continuous assessment and assignment submission dates, as well as all teaching materials, will be published on the course site (http://cv.uab.cat/), in this course's space, and may be subject to scheduling changes for reasons of adaptation to possible incidents. Any such changes will always be announced on cv.uab.cat, as the Virtual Campus is understood to be the usual mechanism for exchanging information between instructor and students.
• This course does not offer the single (one-off) assessment system.
• For each evaluation activity, a place, date, and time for review will be indicated, at which the student can review the activity with the instructor. In this context, complaints about the activity grade may be made, which will be evaluated by the teaching staff responsible for the course. If the student does not attend this review, the activity will not be reviewed later.

Without prejudice to other disciplinary measures deemed appropriate, and in accordance with current academic regulations, irregularities committed by a student that could lead to a change in the grade of an assessable activity will be graded with a zero (0). Evaluation activities graded in this way and by this procedure will not be recoverable. If passing any of these evaluation activities is necessary to pass the course, the course will be failed directly, with no opportunity to recover it in the same academic year. These irregularities include, among others:

• total or partial copying of a practical assignment, report, or any other evaluation activity;
• allowing others to copy;
• submitting group work not done entirely by the group members (applied to all members, not only those who did not work);
• presenting materials produced by third parties as one's own, even if they are translations or adaptations, and in general work with elements that are not original and exclusive to the student;
• having digital and/or communication devices (such as mobile phones, smartwatches, camera pens, etc.) accessible during individual theoretical-practical assessment tests (exams);
• talking to classmates during individual theoretical-practical assessment tests (exams);
• looking at other classmates' assessment tests (exams) during the exam, even if no copying took place;
• looking at writings related to the subject on the desk, sheets, wall, etc., during the theoretical-practical assessment tests (exams), even if no copying took place.

The numerical grade in the academic record will be the lower value between 3.0 and the weighted average of the grades if the student has committed irregularities in an assessment act (and therefore passing by compensation will not be possible). In short: copying, allowing copying, or plagiarizing (or attempting to) in any of the evaluation activities is equivalent to a FAIL with a grade below 3.5.

Use of Generative AI

In this course, the use of Artificial Intelligence (AI) technologies is permitted as an integral part of the development of the work, provided that the final result reflects a significant contribution by the student in terms of analysis and personal reflection. The student must clearly identify which parts were generated with this technology, specify the tools used, and include a critical reflection on how these have influenced the process and the final result of the activity. Lack of transparency in the use of AI will be considered a breach of academic honesty and may result in a penalty on the activity grade, or greater sanctions in serious cases.