The subject includes 38 hours of theory classes (which include both lectures and demonstration sessions related to the course contents), 8 hours of seminars (in which gamified activities will be developed in the classroom reproducing practical cases/projects related to the management of natural resources and energy), and 2 hours of external visits to different existing facilities on the UAB Campus directly related to management and consumption energy efficient/sustainable at university.

In addition, the subject provides for a certain number of hours of personal dedication to study (which may include both theoretical study and consultation of documentation through the Internet or other means) plus the hours that students will have to use in carrying out the work and evaluated deliveries that the different teachers of the subject will entrust to them.

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.

i) The evaluation criteria contemplate the realization of two independent partial exams, each to evaluate a part of the syllabus of the subject. Each of them will have a weight of 35% of the total final grade.

ii) In addition, different gamified interactive activities will be carried out (during the last weeks of the course). These activities will be associated with written submissions and oral presentations that will represent a total of 30% of the final grade, and will involve on-site deliveries in the classroom as part of this evaluation.

For this course, the use of Artificial Intelligence (AI) technologies is allowed only in the evaluation activity of "Interactive Activities", and exclusively for bibliographic or information search and/or correction of texts. The student will have to clearly identify which parts have been generated with this technology, specify the tools used and include a critical reflection on how they have influenced the process and the final result of the activity. The non-transparency of the use of AI in this assessable activity will be considered a lack of academic honesty and may lead to a partial or total penalty in the grade of the activity, or greater sanctions in cases of deliberate malpractice.

To pass the course the student will have to:

i) Get a minimum average grade of 5 (over 10).

ii) Get a minimum grade of 3,5 (over 10) in each of the three main evaluation activities (the two partial exams and the interactive activitites). In case this requirement is not fullfilled the final grade that will appear in the expedient will be (i) the average grade in case it is below 4,5, (ii) 4,5 in case it is above this value.

It will be considered that a student will obtain the qualification of \"Not Assessable\" if does not present the assignments (tassignments andor oral presentation during the interactive activities), and/or does not appear in any partial exam.

Retake:

i) Those students that have attended a minimum part of the evaluation activites (corresponding at least to 2/3 of the final grade) but do not get the minimum grade to pass the course, or that want to improve their grades, have the option of a retake exam that will be independent for each partial.

ii) The interactive activities, as well as all assignments in the course, will not have a retake option.

Given the characteristics of some of its evaluation activities, this course does not offer the option of a Unique-Assignment evaluation.