The curricular unit aims to provide students with knowledge of digitization and automation of activities and processes, management, organization and automation of maintenance, virtual and augmented reality, artificial intelligence and machine learning, based on the Industry 4.0 paradigm.
Objectives and expected learning outcomes 1. Understand the digital transformation in the industry and its clinics. 2. Explore the Internet of Things (IoT) and its impact on industry. 3. Develop skills practices to deal with the challenges of digital transformation and IoT in the industry.
Skills to be developed 1. Data Analysis Competency: Ability to accommodate, interpret and analyze data relevant to digital transformation in industry and the Internet of Things. 2. Technology Integration Ability: Ability to efficiently integrate various digital technologies in industry, including IoT devices and automation systems.
Programme
1. Industry 4.0 Paradigm
2. Maintenance Management and Organization 2.1. Types of Maintenance and applicability 2.2. Maintenance Management Techniques 2.3. Automation in Maintenance 3. Control elements and industrial sensors 3.1. Safety of People and Machines 3.2. Cutting and Protection Equipment 3.3. Digital Sensors 4. Virtual Reality and Augmented Reality 5. Artificial Intelligence and Machine Learning 6. Low Code for Process Digitization and Automation - Arduino Kits
Demonstration of the syllabus coherence with the curricular unit's learning objectives
The Digital Transformation in Industry and Internet of Things subject presents contents that are perfectly aligned with your objectives. Studying the Industry 4.0 Paradigm provides the theoretical basis for understanding digital transformation in industry, while exploring Maintenance Management and Organization validates the first goal by demonstrating how digitalization impacts the management of equipment and industrial processes. Industrial Control Elements and Sensors and the Virtual Reality and Augmented Reality approach contribute to the second objective, allowing students to explore how IoT is transforming industry. Finally, the study of Artificial Intelligence and Machine Learning and the use of Low Code for the Digitization and Automation of processes - Arduino Kits provide practical skills that validate the third objective, enabling students to face the challenges of digital transformation in industry and IoT with innovative and technologically advanced solutions. Thus, the coherence between the contents and objectives of the discipline offers a comprehensive training that prepares students for the highly technological and digitized industrial context.
Main literature
Ribeiro, R.; Veiga, P.;ransformação Digital - Os Desafios, o Pensar e o Fazer, Actual Editora, 2022. ISBN: 9789896946876
Coelho, P.;5G e Internet das Coisas, FCA Editora de Informática, 2022. ISBN: 9789727229260
Supplementary Bibliography
Moreira, F.;Transformação Digital Oportunidades e ameaças para uma competitividade mais inteligente, Sílabas & Desafios, 2018. ISBN: 9789898842282
Sinclair, B.;Iot: Como Usar A "Internet Das Coisas" Para Alavancar Seus Negócios, Autêntica Business, 2018. ISBN: 9788551303559
Learning Methods
The methodology to be used will include expository, demonstrative and experimentation strategies. The multimedia presentations will support the most expository part of the contents. The most practical part of the subject will be mostly dedicated to carrying out activities to apply the contents taught, with the teacher assuming the role of tutor, recalling concepts and functionalities, helping and encouraging students to refine and improve their performances.
During classes, students will always be encouraged to have a proactive stance of critical participation, regarding the contents exposed and to present current affairs for debate.
Assessment Components
Avaliação distribuída com exame final
Assessment Components
Description
Type
Time (hours)
Conclusion Date
Attendance (estimated)
Lessons
30
Individual assessment
Teste/Exame
3
Individual study
Study
74
Total:
107
Continuous Assessment
Continuous evaluation
- Written Test I: 30%. - Written test II: 30%. - Group work: 40%
Under the terms of the General Regulation: a) The actual presence of students in classes will be registered and, if the number of absences per student exceeds 30% of the total number of contact sessions foreseen for each curricular unit, it will be automatically transferred to the final evaluation of the normal season; b) In the written tests and in the defined evaluation elements, it is necessary to obtain a minimum grade of 7.5 out of 20; c) If the student is absent or scores less than 7.5 points in the tests or assessment elements referred to in the previous number, he will be automatically transferred to the final assessment of the normal season; d) If the student misses or scores less than 7.5 in the second written test (taken on the same date as the final written test of the normal period), he/she may apply for evaluation at the appeal period; e) All written academic work foreseen in the assessment (reports, case studies, etc.) will have to be submitted in the Turnitin database, available on ISAG's E-Learning platform, with a similarity rate of up to 30% being acceptable.
Final Exam
A written exam: 100%.
Demonstration of the coherence between the teaching methodologies and the learning outcomes
The teaching methodologies adopted for the Curricular Unit of the discipline Digital Transformation in Industry and Internet of Things are in full consistency with the established learning objectives. Through expository, demonstrative and experimentation strategies, students have the opportunity to understand the Industry 4.0 Paradigm and its implications for modern industry, meeting the first objective. Multimedia presentations serve as support for exploring the Internet of Things (IoT) and its impact on the industry, aligning with the second objective of exploring IoT. The emphasis on practical activities and the application of contents addresses the third objective, allowing students to develop practical skills to face the challenges of digital transformation and IoT in industry. Encouraging critical participation and debate on current affairs also reinforces the understanding of the topics studied, making teaching methodologies even more appropriate and relevant to the technological context in constant evolution.