Artificial Intelligence is defined by the type of problems is trying to solve, thus in this course, the type of problem is organizing the course content. We will work in three different types of sessions:

• Theoretical session: These sessions are classical lectures based on the lecturer explanations, motivating the students to participate in order to ensure they are achieving the knowledge transmission.
• Problem-based session: These sessions are with a more reduced number of students to facilitate interaction. In these sessions we pursuit to reinforce the understanding of the topics presented in theoretical sessions by posing practical cases that require the design of a solution using the methods presented in theory. It is impossible to follow these sessions without following theoretical sessions, since they are strongly linked. In these sessions we do interactive quizzes to evaluate the participation and the the achievements of the students.
• Practical session: It is the type of session where different activities are performed connected to perform individual and team-based projects. Different kinds of activities are done in these sessions: (a) sessions for team work but tutored by teaching assistants, (b) sessions to individually evaluate through quizzes to the students on site, (c) sessions to present the results, where all the team members must explain and defend the results of the developed project.

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.

To evaluate the learning level of the students we establish a formula that combines acquisition of knowledge, abilities in problem solving and the skills to work in a team as well as to justify the obtained results in a project.

Final grade is computed as a weighted sum of the marks obtained in the different performed activities:

Final Score = 0.5 * Theory Score + 0.1 * Problem Score + 0.4 * Practice Score

This formula will be computed only in the case that Theory Score is greater or equal than 5, and the Project Score is greater or equal than 6. No constrain is applied on the Problem Score. If the Final Score is >=5, but the minimum thresholds are not achieved in on the the Scores, then the Score in the transcript will be 4.5.

The Theory Score is calculated as the average of the score of two Partial Exams:

Theory Score = 0.5 * Partial 1 Score + 0.5 * Partial 2 Score

this mark is computed only if the Partial Scores are both equal or greater than 3.5. When the Scores are given, a date and time of an Exam Review Session will be announced.

Retake Exam. In case the Theory Score does not achieve the 5 to pass, the student can retake the exam 1, the exam 2 or both. To compute the final Theory Score we consider the maximum between the first mark and the corresponding retake mark.

The Problem Score pursuits the student to work on the theoretical content as they are given during the course, specific problems are posed to make the student have to apply the theoretical contents just after they have been explained in the lectures. To evaluate this activity students are asked to do a weekly delivery of solved problems, and the active participation of the students in the weekly Problem Sessions.

Problem Score = 0.7 * Deliveries Score + 0.15 * Session Attendance + 0.15 * Session-Quiz Scores

this score is included in the Final Score if the % of deliverables is superior to 70% of the total.

The Practice Score has an essential weight in the final mark, it pursuits the student to program and explore the studied techniques within the frame of the global goal of a contextualized project. Additionally, the student has to demonstrate its skills in doing all this work both, individually and in a team, and defending the final results in a presentation. The final Project Score is computed as:

Practice Score = 0.5 * Project 1 Score + 0.5 * Project 2 Score

To compute this Score every one of the projects has to get a mark greater or equal than 6. The mark for each one of the projects is computed from a compilation of marks:

Project 1 Score= 0.5 * Code + 0.5 * Exam

• Code Score: is evaluated with quizzes where the student uploads parts of the code.
• Exam Score: is evaluated with an exam where the student can access own code on personal laptop.

Code Score and Exam Score must be greater or equal than 6.

Project 2 Score= 0.3 * Code + 0.3 * Report + 0.15 * Group Presentation + 0.15 * Individual Presentation + 0.1 Intragroup Evaluation

• Code Score: is evaluated with quizzes where the student uploads parts of the code.
• Report Score: is evaluated with a delivered report
• Group Presentation Score: is evaluated with the presentation document
• Individual Presentation Score: is evaluated with the oral presentation and posterior Q&A.
• Intragroup Evaluation Score: is evaluated with a quizz.

All these Scores (Code, Report, Group Presentations, Individual Presentation, and Intragroup Evaluation) must be greater or equal to 6.

Attendance to Practice Sessions must be superior to 70% and the attendance to the Oral Presenatation is mandatory for all the team members. We recommend to bring a personal laptop for the Final Practicum Quizes and a mobile phone for the Problems and ordinary Practice Sessions.

Practice Retake. If a Project grade does not reach the required level to obtain a passing final grade, the student will have the opportunity to retake it. If any project grade has had to be retaken, the final grade for that project will be capped at 7 out of 10. In the specific case of having to retake the Individual Grade for Project 2, this will be done through a Project 2 Exam similar to the Project 1 Exam.

Single Assessment

This course does not have single assessment.

Important notes:

In case the subject is not passed due to one of the evaluation activities does not arrive to the minimum required score, the final score in the transcript will be the minimum between 4.5 and the final mark obtained if the threshold is not considered, with the exception that the numeric score in the transcript will be in between 3.0 and the final mark obtained if the threshold is not considered, for the case the student have performed any irregular act in an evaluation activity, such as those explained below.

Grade will be “Non-Graded” (“No Avaluable”) in the case the student did not participate in any of the evaluation activities.

Grade will be “Honours” (“Matrícula d’Honor”) in the case the rank of the grade is less than the maximum number of honours can be given in a course, and the value of the grade is over a threshold that will be stablished by the teacher.

The evaluation and delivery dates will be published Campus Virtual cv.uab.cat and might be shifted if there is any change in the planning due to any unexpected event. Students will be informed about any change through cv.uab.cat that will be the usual communication mean between students and teachers.

For the case of students retaking the course, no recognition with grades of the previous year will be considered.

Notwithstanding other disciplinary measures deemed appropriate, and in accordance with the academic regulations in force, assessment activities will receive a zero whenever a student commits academic irregularities that may alter such assessment. Assessment activities graded in this way and by this procedure will not be re-assessable. If passing the assessment activity or activities in question is required to pass the subject, the awarding of a zero for disciplinary measures will also entail a direct fail for the subject, with no opportunity to re-assess this in the same academic year. Irregularities contemplated in this procedure include, among others:

• the total or partial copying of a practical exercise, report, or any other evaluation activity,
• allowing others to copy,
• presenting teamwork that has not been entirely done by the members of the team,
• presenting any materials prepared by a third party as one’s ownwork, even if these materials are translations or adaptations, including work that is not original or exclusively that of the student,
• having communication devices (such as mobile phones, smart watches, etc.) accessible during theoretical-practical assessment tests (individual exams).

In this course, it is allowed to use Artificial Intelligence (AI) technologies as an integrated tool to deploy the tasks if the final result shows up a significant contribution of the student in analysis and personal thoughts. The student must clearly identifty which parts have been generated with the AI tool, identifying which tools have been used, and to include a critical thought about how these tools have determined the process and the final result of the activity. The lack of transparency in the use of AI will be considered a breach of academic integrity and may result in a grade penalty for the activity, or more severe sanctions in serious cases.

An overall grade of 5 or higher is required to pass the subject. A "non-assessable" grade cannot be assigned to students who have participated in any of the individual partial tests or the final exam.

No special treatment will be given to students who have completed the course in previous academic years, except that the seminar grade previously obtained can be assigned to this course gradebook.

The grade in the Transcript of Records (ToR) will be thelowest value between3.0 and the weighted average grade, in the eventof irregularities having been committed for any assessment activity (and therefore re-assessment will not be possible).

If an exam needs to be rescheduled, you must follow the Engineering School Protocol for Requesting the Rescheduling of Assessment Activities.