Trends in AI Engineering (elective) (E) (WP)*
Niveau
Master`s course
Learning outcomes of the courses/module
The participants:
-are able to identify current thematic trends in the field of AI engineering, modern software development, and application
-are able to identify current technological developments in the field of AI engineering, modern software development, and applications
• are able to identify current practical issues in the field of AI engineering, modern software development, and applications
-are able to identify current thematic trends in the field of AI engineering, modern software development, and application
-are able to identify current technological developments in the field of AI engineering, modern software development, and applications
• are able to identify current practical issues in the field of AI engineering, modern software development, and applications
Prerequisites for the course
none
Course content
- New technologies in the field of AI Engineering
- Trends in the field of programming languages for AI
- New design concepts in the field of AI
- New questions in the field of research in AI
- New questions in the field of AI practice
- Trends in the field of programming languages for AI
- New design concepts in the field of AI
- New questions in the field of research in AI
- New questions in the field of AI practice
Recommended specialist literature
None
Assessment methods and criteria
Seminar thesis
Language
English
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
The following methods are used:
- Lecture with discussion
- Interactive workshop
- Lecture with discussion
- Interactive workshop
Semester/trimester in which the course/module is offered
4