Degree | Type | Year |
---|---|---|
4318303 Reseach and Innovation in Computer Based Science and Engineering | OT | 0 |
You can view this information at the end of this document.
It is recommended that the student have knowledge of signal theory, differential equations and linear systems.
The objective of the course is to provide the student with fundamental knowledge in the application of the Internet of things, control systems and data processing in Industry 4.0.
This course deeps into sensorization, connectivity, data analysis and use cases for the improvement of production processes and maintenance. Enabling technologies will be analyzed, such as the concept of the Industrial Internet of Things IIOT, energy harvesting technologies, advanced control mechanisms, data-driven decision-making, quality control techniques, and the circular economy.
Block 1. Connected Industry (MiSE)
Block 2. Industrial Big Data (TES-Wireless)
Block 3. Industrial Control Systems (TES-ESA)
Title | Hours | ECTS | Learning Outcomes |
---|---|---|---|
Type: Directed | |||
Exercises and laboratories | 24 | 0.96 | |
Laboratory activities | 76 | 3.04 | |
Theory classes | 26 | 1.04 |
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.
The platform to communicate with students is Moodle.
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.
Title | Weighting | Hours | ECTS | Learning Outcomes |
---|---|---|---|---|
Project block #1 | 50% | 12 | 0.48 | CA16, CA17, KA21, KA22 |
Project block #2 | 25% | 6 | 0.24 | KA22, SA27, SA28, SA29 |
Project block #3 | 25% | 6 | 0.24 | KA21, KA22, SA29, SA30 |
The evaluation of the subject will be done progressively and continuously throughout the semester. The evaluation system is based on the following rules:
a) Scheduled evaluation process and activities
The following activities are planned:
Activity A. Develop a project corresponding to Block 1.
The project involves designing an IoT product from its concept to realization using commercial platforms. Students are divided into teams that work on different parts of an IoT project: (i) use case, sensors, and communication; (ii) cloud platforms; (iii) HW device. This activity accounts for 50% of the total grade for the course.
Activity B. Develop a project corresponding to Block 2.
The project involves creating a monitoring system for a solar energy production plant. Three subsystems will be created to ensure correct operation: (i) the photovoltaic plant simulator with Python, (ii) the data capture and storage system (Python + InfluxDB), (iii) the data visualization system (Grafana). This activity accounts for 25% of the total grade for the course.
Activity C. Develop a project corresponding to Block 3.
The project focuses on designing a PID controller for a system provided by the professor. The system will be represented in Simulink, and a PID controller will be designed to meet given specifications. The design will be tested through simulation, and a sensitivity analysis will be conducted. This activity accounts for 25% of the total grade for the course.
The final grade is calculated as the weighted average of the grades of each activity, according to the percentages stated before, where each grade is in the range from 0 to 10. To pass the subject (passing means obtaining at least a 5 in the final grade), you will need to obtain a minimum grade of4 in all the activities. Activities are not recoverable, in the sense that they must be handed out to professors and passed as indicated in the continued evaluation. If a 4 is not obtained in any of the parts, the final grade will be the average of the notes of the blocks if it is less than 4 or 4 if it is higher.
b) Programming of evaluation activities
The calendarization of the assessment activities will be shown onthe first day of the subject.
c) Recovery process
Activities are not recoverable. All of them must be completed along the course.
d) Qualification review procedure
For each assessment activity, a review place, date and time will be indicated in which the student can review the activity with the professor. In this context, claims can be made about the grade of the activity, which will be evaluated by the teaching staff responsible for the subject. If the student does not appear for this review within the set deadlines, this activity will not be reviewed later.
e) Qualifications
The final grade of the subject will be calculated according to those mentioned in item a) of this Section. It should be noted that:
• Honorous grade (“MH”). Awarding an honors excellent grade is solely the decision of the faculty responsible for the subject. UAB regulations indicate that MH can only be granted to students who have obtained a final grade equal to or higher than 9.00 and in an amount not exceeding 5% of the number of students in the subject.
• Not assessable. A student who has not taken any activity will be considered "not assessable". In any other case, the assessment criteria detailed above are followed.
f) Irregularities by the student, copying and plagiarism
Without prejudice to other disciplinary measures that are considered appropriate, irregularities committed by the student that could lead to a variation in the grade of an assessment act will be graded with a zero. Therefore, copying, plagiarism, cheating, allowing copying, etc. in any of the evaluation activities will involve suspending it with a zero. If it is necessary to pass any of these assessment activities to pass the subject, this subject will be suspended directly, withno opportunity to recover it in the same course.
g) Evaluation of repeating students
For repeating students, none of the activity grades are saved from one course to the next. Repeat students follow the same assessment rules as any other student.
Block 1.
Block 2.
Block 3.
The software employed will be Python and Matlab/Simulink.
Name | Group | Language | Semester | Turn |
---|---|---|---|---|
(PLABm) Practical laboratories (master) | 1 | English | second semester | morning-mixed |
(TEm) Theory (master) | 1 | English | second semester | morning-mixed |