Trends in AI Engineering (Elective)
Niveau
Master’s degree program
Learning outcomes of the courses/module
The participants:
• can identify and discuss current thematic trends in the areas of AI engineering, modern software development, and applications
• can identify and discuss current technological developments in the areas of AI engineering, modern software development, and applications
• can identify and discuss current practical issues in the areas of AI engineering, modern software development, and applications
• can identify and discuss current thematic trends in the areas of AI engineering, modern software development, and applications
• can identify and discuss current technological developments in the areas of AI engineering, modern software development, and applications
• can identify and discuss current practical issues in the areas of AI engineering, modern software development, and applications
Prerequisites for the course
No prerequisites
Course content
The content of this course is not fixed; rather, it is adapted to currently prevailing trends. Representative topics may include:
- New technologies in AI engineering
- Trends in programming languages for AI
- New design concepts in AI
- Emerging research questions in the field of AI
- Emerging issues in the field of AI
- New technologies in AI engineering
- Trends in programming languages for AI
- New design concepts in AI
- Emerging research questions in the field of AI
- Emerging issues in the field of AI
Recommended specialist literature
PRIMÄRLITERATUR:
- European Journal of Information Systems
- Information Systems Journal
- Information Systems Research
- Journal of AIS
- Journal of Information Technology
- Journal of MIS
- Journal of Strategic Information Systems
- MIS Quarterly
- European Journal of Information Systems
- Information Systems Journal
- Information Systems Research
- Journal of AIS
- Journal of Information Technology
- Journal of MIS
- Journal of Strategic Information Systems
- MIS Quarterly
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 employed:
- Lecture with discussion
- Interactive workshop
- Lecture with discussion
- Interactive workshop
Semester/trimester in which the course/module is offered
4