Abstract
Mechanical engineering (ME) students have specific domain knowledge in developing physical systems, such as machines, vehicles and production equipment. Nevertheless, the strong demands of utilizing artificial intelligence (AI) for physical systems to become a cyber-physical system (CPS) is now a commonplace of modern physical systems. Hence, it is necessary to cultivate greater AI design and programming capabilities in ME students. In this poster, the "Intelligent Systems: Theory and Practice"course (ME5061 in ME, National Taiwan University) for senior undergraduate/ graduate students) is presented. This course has been offered once in the spring semester of 2022, and 34 students participated in this course.
| Original language | English |
|---|---|
| Title of host publication | ITiCSE 2023 - Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education |
| Publisher | Association for Computing Machinery |
| Pages | 635 |
| Number of pages | 1 |
| ISBN (Electronic) | 9798400701399 |
| DOIs | |
| State | Published - 29 06 2023 |
| Event | 28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023 - Turku, Finland Duration: 08 07 2023 → 12 07 2023 |
Publication series
| Name | Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE |
|---|---|
| Volume | 2 |
| ISSN (Print) | 1942-647X |
Conference
| Conference | 28th Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE 2023 |
|---|---|
| Country/Territory | Finland |
| City | Turku |
| Period | 08/07/23 → 12/07/23 |
Bibliographical note
Publisher Copyright:© 2023 Owner/Author.
Keywords
- cyber-physical systems
- machine learning
- mechanical engineering students