The teaching methodology to be followed is oriented towards the continued learning of the subject by the student. This process is based on the realization of three types of activities that will be developed throughout the course: theory classes, problem seminars and project development.

 • Theory sessions: the professor will explain the fundamental contents of the subject and the strategies to acquire, expand and organize this knowledge. Participation will be encouraged by student activity through exercises and the use of interactive tools for student participation.

• Problem seminars: students will have to participate actively to consolidate the knowledge acquired by solving, presenting, and debating related problems.

• Laboratory sessions. The student will carry out laboratory sessions by computer to become familiar with the contents of the theoretical classes.
• Project development: students will have to complete several projects to put together the techniques introduced in the course. 

The platform to communicate with students is Moodle.

a) Assessment Activities

The following assessment activities are planned:

Activity A. Develop a project corresponding to Block 1. The project consists of designing an IoT product from concept to implementation using commercial platforms. Students will work in teams covering the different components of an IoT project: (i) use case, sensing and communications; (ii) cloud platforms; and (iii) hardware device. This activity accounts for 50% of the final course grade.

Activity B. Develop a project corresponding to Block 2. The project consists of developing a monitoring system for a solar power generation plant. Three subsystems will be implemented to ensure the correct operation of the system: (i) a photovoltaic plant simulator developed in Python; (ii) a data acquisition and storage system (Python + InfluxDB); and (iii) a data visualization system (Grafana). This activity accounts for 25% of the final course grade.

Activity C. Develop a project corresponding to Block 3. The project focuses on the design of a PID controller for a system provided by the instructor. The system will be modeled in Simulink, and a PID controller will be designed to meet a given set of performance specifications. The design will be validated through simulation, and a sensitivity analysis will be carried out. This activity accounts for 25% of the final course grade.

The final grade is calculated as the weighted average of the grades obtained in each activity, according to the percentages indicated above, where each activity is graded on a scale from 0 to 10.

To pass the course (i.e., obtain a final grade of at least 5.0), students must obtain a minimum grade of 4.0 in each assessment activity.

The assessment activities are not resubmittable. They must be submitted and passed as part of the continuous assessment process. If a student obtains less than 4.0 in any activity, the final grade will be the weighted average if it is below 4.0, or 4.0 if the weighted average is higher.

b) Assessment Schedule

The schedule of assessment activities will be announced on the first day of the course.

c) Resit Process

Assessment activities are not eligible for resit.

All assessment activities must be completed during the semester.

d) Grade Review Procedure

For each assessment activity, the date, time, and location of the review session will be announced. During this session, students may review their work with the instructor and submit any requests for grade reconsideration. Such requests will be evaluated by the instructors responsible for the course. Students who do not attend the review session within the established period will not be entitled to a subsequent review of that assessment.

e) Final Grades

The final course grade will be calculated according to the criteria described in Section (a).

Special grading categories include:

Honours Distinction ("MH")

The awarding of an Honours Distinction is at the sole discretion of the course instructors. According to UAB regulations, this distinction may only be awarded to students with a final grade of 9.0 or higher, and to no more than 5% of the students enrolled in the course.

Not Assessed ("NA")

Students who do not participate in any assessment activity will receive a grade of Not Assessed (NA). In all other cases, the grading criteria described above will apply.

f) Academic Misconduct, Copying and Plagiarism

Without prejudice to any additional disciplinary measures that may be deemed appropriate, any academic misconduct committed by a student that may affect the assessment of an activity will result in a grade of 0 for that activity. This includes, but is not limited to, copying, plagiarism, cheating, facilitating cheating, or any other form of academic dishonesty.

If passing the failed assessment activity is required to pass the course, the student will automatically fail the course, with no possibility of resitting it during the same academic year.

g) Assessment of Repeat Students

For students repeating the course, no grades from previous academic years will be retained. Repeat students are subject to the same assessment regulations as all other students.

h) Use of Artificial Intelligence (AI)

The use of Artificial Intelligence (AI) technologies is permitted as part of the development of coursework, provided that the final submission reflects a substantial personal contribution by the student in terms of analysis and critical reflection.

Students must clearly identify which parts of their work have been generated using AI, specify the tools used, 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 will be considered a breach of academic integrity and may result in a reduction of the grade for the assessment activity or more severe disciplinary sanctions in serious cases.

Without prejudice to any additional disciplinary measures established by the applicable academic regulations, any assessment activity affected by academic misconduct that compromises the integrity of the evaluation process will receive a grade of 0. Assessment activities graded in this way are not eligible for reassessment.