inf592 - Special Topics in 'Applied Artificial Intelligence' II (Course overview)

No participant requirement

At the end of the lecture period by arrangement with the lecturer

Semester-long practical exercises or presentation or oral examination

The module aims to integrate current developments in the specialization area 'Learning and Cognitive Systems II' into the appropriate course formats within the study program.

Professioal competences
The students: 

• differentiate and contrast a specific area of computer science in which they have specialized, in more detail, or reflect on computer science in general
• recognize and assess the techniques and methods applicable in their specialized field and their limitations
• identify, structure and solve problems also in new or emerging areas of their discipline
• apply state-of-the-art and innovative methods in investigating and solving problems, possibly drawing from other disciplines
• recognize the limits of current knowledge and technology and contribute to the further scientific and technological development of computer science
• discuss current developments in computer science and assess their significance

Methodological competencies
The students: 

• valuate tools, technologies, and methods and apply them in a differentiated manner, creatively developing new and original approaches and methods
• reflect on problems, even in emerging areas of their discipline, and apply computer science methods to investigate and solve them

Social Competencies
The students: 

•     integrate their skills into team processes

Self-competences
The students: 

•  critically follow the further developments in computer science in general and in their specialized area
• successfully and independently carry out innovative activities in their professional field