AI-based Product Design
Niveau
second cycle, Master
Learning outcomes of the courses/module
The graduate / the student:
* can explain design guidelines and contexts for product design
* can develop concepts based on requirements and evaluate them
* can independently carry out an industrial design project
* can use the necessary tools, such as generative AI, correctly
* can explain design guidelines and contexts for product design
* can develop concepts based on requirements and evaluate them
* can independently carry out an industrial design project
* can use the necessary tools, such as generative AI, correctly
Prerequisites for the course
none
Course content
* Definition/delimitation of product design
* Classification in the product development process
* Procedure, approaches/principles and tools for product design with focus on generative AI
* Evaluation criteria and the evaluation of developed or existing concepts
* Classification in the product development process
* Procedure, approaches/principles and tools for product design with focus on generative AI
* Evaluation criteria and the evaluation of developed or existing concepts
Recommended specialist literature
Gerhard H., Lanz M., Prettenthaler M.; Design Basics: von der Idee zum Produkt; 2018
Follet J.; Designing for Emerging Technologies: UX for Genomics, Robotics, and the Internet of Things; 2014
Follet J.; Designing for Emerging Technologies: UX for Genomics, Robotics, and the Internet of Things; 2014
Assessment methods and criteria
Project
Language
English
Number of ECTS credits awarded
6
Share of e-learning in %
20
Semester hours per week
2.5
Planned teaching and learning method
Lecture, individual work with software, group work, presentation and discussion of tasks
Semester/trimester in which the course/module is offered
2
Name of lecturer
Eva Gassner, MSc Maria Kolitsch
Academic year
1. study year
Key figure of the course/module
PDE.5
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
not applicable