Inhalt

[ 993SEPTSAIS19 ] SE Seminar in AI (Master)

Versionsauswahl
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M2 - Master's programme 2. year (*)Artificial Intelligence Sepp Hochreiter 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Artificial Intelligence 2025W
Learning Outcomes
Competences
Students have the ability to independently research and analyze advanced topics in Artificial Intelligence, deepening their understanding of scientific methods. They have experience in critically evaluating scientific literature, synthesizing their insights, and effectively communicating their findings through oral presentations and discussions.
Skills Knowledge
  • Conducting Independent Literature Research (k5)

Students can perform thorough literature reviews on advanced AI topics, identifying key research papers, trends, and debates within the field.

  • Synthesizing and Analyzing Scientific Findings (k5)

Students are able to critically evaluate and synthesize information from various sources, forming coherent conclusions and interpretations based on their research.

  • Developing and Presenting Scientific Arguments (k6)

Students can structure their research findings into clear and logical presentations, communicating complex AI topics effectively to an audience.

  • Engaging in Scientific Discussions and Debates (k6)

Students are capable of leading discussions and participating in debates, defending their insights and research conclusions while addressing feedback and different perspectives.

  • Writing and Structuring Seminar Reports (k5)

Students are able to write well-organized seminar reports that document their research process, findings, and critical analysis, adhering to academic standards.

Students acquire knowledge of advanced AI topics, gaining expertise in scientific research methods, critical analysis, and literature review techniques. They learn how to present and discuss scientific findings, both in written and oral formats, while deepening their understanding of complex AI concepts and current research challenges.
Criteria for evaluation Combined assessment of oral and written presentation
Methods Literature is provided to students on an individual basis
Language English
Changing subject? No
On-site course
Maximum number of participants 20
Assignment procedure Direct assignment