Architecture for Systems Integration

Objectives

Upon successful completion of this course, you will be able to:

  1. Understand System Integration Principles: Grasp the fundamental concepts of system integration and the importance of seamless communication between diverse systems.

  2. Explore IoT Technologies: Gain insights into the Internet of Things (IoT) and its applications, including Ambient Assisted Living, Smart Homes, and healthcare.

  3. Learn about Industry 4.0 and Digital Manufacturing: Learn how Industry 4.0 is transforming manufacturing processes, and understand the concept of factories of the future and digital manufacturing.

  4. Architect Solutions to achieve System Interoperability: Explore integration and interoperability techniques for enterprise-level systems.

  5. Embrace Model-Driven Development: Master model-driven development and apply it to real-world scenarios.

  6. Implement Smart Solutions: Understand the implementation of smart solutions for health, sensorization, and data collection in IoT.

  7. Design Sensing Enterprise and Cyber-Physical Systems: Explore the design principles behind sensing enterprise and cyber-physical systems.

  8. Leverage Big Data: Discover how to integrate big data technologies into systems integration projects.

  9. Apply Knowledge to Real-World Scenarios: Acquire practical skills for acquiring data from wearables and implementing smart solutions in real environments.

General characterization

Code

10484

Credits

6.0

Responsible teacher

João Filipe dos Santos Sarraipa, Ricardo Luís Rosa Jardim Gonçalves

Hours

Weekly - 4

Total - 66

Teaching language

Português

Prerequisites

Available soon

Bibliography

Available soon

Teaching method

Available soon

Evaluation method

Available soon

Subject matter

1- Presentation and Evaluation Rules; Introduction to the Interoperability theme; Presentation of results from previous years'' work.

2- Industry 4.0, Factories of the Future, and Digital Manufacturing; Selection and discussion of topics for theoretical assignments.

3- Enterprise Modeling; Software Architectures.

4- Integration and Interoperability of Enterprise Systems; Model-driven development; Model-driven Interoperability.

5- Sensing Enterprise and CPS.

6- Big Data and System Integration.

7- Data Analytics applied to a real logistics scenario.

8- Knowledge and Ontologies in Intelligent System Integration.

9- Smart4Health Project and the sensorization of a medical device; Collection of IoT data; Implemented Architecture.

10- INEDIT Project and the acquisition of data from wearables for the smartification of a kitchen; Implemented Architecture.

11- Class to support the development of theoretical work.

12- Presentation and discussion of theoretical work.

Programs

Programs where the course is taught: