The course is taught in a lecture hall, and seminars are held in a computer classroom. Each set of content is presented in the form of lectures, students gain in-depth knowledge of a specific topic in the form of seminars, which they further build on in the form of independent work.
Within the course, students will learn about three sets of computer technologies to help with design, planning and presentation:
Use of digital twin technology in the design of new products and their production process - students will learn what digital twin technology is, what are the advantages and disadvantages of its use, where we can all use it and how it can help in the optimization and automation of production processes.
The use of generative models of artificial intelligence in design - students will learn what generative models of artificial intelligence exist (generation of text, images, 3D models, video, etc.), what are the advantages and disadvantages of using such models, where it makes sense to use them and how they can meaningfully include them in their work.
Use of modern game drives for making presentations - students will learn the basics of a modern game drive, for the purpose of creating (interactive) presentations in the form of video, (interactive) 3D visualization and visualization in virtual reality.
The theoretical foundations of the contents will be presented in the lectures, the students will get to know the individual contents in the form of demonstrations and exercises on basic cases in the seminars, and in the independent work they will have to demonstrate the use of the presented technologies on difficult cases.
Learning about modern approaches present in Industry 4.0 and 5.0, such as (1) completely digital planning of the production process and pipeline using the digital twin concepts, (2) connecting people, machines, information and organization for integrated operation, (3) full automation of processes with the support of the Industrial Internet of Things (IIoT) for planning, logistics and supply chain management.
Learning about collaborative planning, design and simulation in all-connected design environments such as e.g. Nvidia Omniverse.
Subject-specific competencies:
Critically assesses, reflects, interprets and actively influences the design profession and its development.
When defining long-term design strategies, uses and plans analytics of new information while understanding trends and environmental, social and technological changes.
Knows, understands and is capable of solving sustainable problems in the development of products and services using a product- or system-oriented approach.
Intended Learning Outcomes
Knowledge of the basics of digital twin technology and its importance in the design and planning of products and their production.
Knowledge of generative artificial intelligence models and the ability to use them in product design and presentation.
Knowledge of the basics of game drives and the ability to use them in product presentations.