The Module is structured in such a way that each course has its own role in achieving the one or several specific objectives. Further, the curriculum of the courses will be elaborated shortly:
L1. Introduction to the European integration and legislation in the field of smart engineering (6 teaching hours). The main goal is to enhance the existing theoretical understanding of legal, economic, political, and social aspects of European integration. The lectures are based on the interdisciplinary approach regarding the European integration process and its benefits, law, and future aspects
L2. I 4.0: Smart products and services engineering (12 teaching hours). The main goal of the course is to master the knowledge and skills for the efficient application of engineering of the new generation of smart products and services. As part of the course, students will study basic approach in product design and development, modular principle in product development, Industry 4.0 and Reference Architecture Model for Industry 4.0 - RAMI 4.0, holistic approach in product development, smart product and service development models
L3. Creativity and innovation in product development (12 teaching hours). The main aim of this course is for students to master creative skills and competencies and also to present them innovative techniques which will be helpful in developing of future smart products and services.
L4. Digital product development (12 teaching hours). The course program will train students to independently use state of the art technologies and methods in the process of development of digital products. The acquired knowledge will enable students to create and holistically administer information, documents and resources in the digital product development process, thus fostering innovation.
L5. 3D CAD construction (10 teaching hours). Getting the knowledge about the basic geometrical objects and their relative positions and sections, developing surfaces, as well as the vector analysis and computing graphics. The focus of the course is on parametric design and the proper use of CAD software to produce 3D models, engineering parts, and documentation.
L6. Information technology (12 teaching hours). Introduction to the basic IT principles, methods, and techniques. The ultimate goal is the IT education of IT experts, capable of application of information technologies in the industry at all stages during the development of software solutions.
L7. Artificial intelligence (12 teaching hours). The aim of course is to introduce the concepts and algorithms at the foundation of modern artificial intelligence, and explore the ideas that give rise to smart products and services. Through real world examples, students will gain knowledge to recognize and apply main tools and algorithms of AI and machine learning with the special emphasize on multilayer artificial neural networks (deep learning).
L8. Big data and data analytics (12 teaching hours). Upon completion of this course the students should become familiar with the principles of Big data and data analytics, gain understanding of the basic tools and techniques for data collection, processing and analysis. The desired outcome is to stimulate the students to adapt EU legislative in this area and apply main tools and algorithms of these concepts in design of simple smart products and services.
L9. Internet and sensing technology (12 teaching hours). This course aims to provide an overview of technologies focusing on the Internet of Things and Industrial Internet of Things. Besides fundamentals and operational principles, the emphasize will be on introducing legal EU requirements and frameworks for building secure and reliable systems, opportunities and challenges, successful real-world practices, and efficient internet and sensing applications.
L10. Digital twins (10 teaching hours). Digital twin fundamentals, which integrate the internet of things, artificial intelligence, and software programming, will be introduced as a virtual representation of an object or system during its lifecycle, which is updated from real-time data and uses simulation, machine learning, and reasoning to help decision-making.
L11. Business models I4.0 (8 teaching hours). This course will be focussed on analyzing business model characteristics for Industry 4.0, providing an in-depth perspective of companies’ processes, structures, and tools for business model innovation. The course will also provide insight in EU good practices and competencies for business model innovation in the course of Industry 4.0.