inf593 Special Topics in 'Applied Artificial Intelligence' II (Complete module description)

inf593 Special Topics in 'Applied Artificial Intelligence' II (Complete module description)

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Module title Special Topics in 'Applied Artificial Intelligence' II
Module code inf593
Credit points 6.0 KP
Responsible institute Department of Computing Science
Responsible persons
Module responsibility:
Daniel Sonntag
Module counselling:
Die im Modul Lehrenden
Prerequisites

No participant requirement

Language of instruction English
Learning outcomes/competencies

This module aims to integrate current developments in the specialization area "Learning and Cognitive Systems" I into the course of study in the appropriate course forms.

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 
Module contents

depending on the area of specialization and the assigned course

Recommended reading

depending on the area of specialization and the assigned course

Required assesment
Method of assesment

Practical exercises and presentation or oral examination

Exam dates

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

Duration (semesters) 1 Semester
Module frequency irregular
Workload
Total workload Contact hours
180 h
Course type
Type SWS Module frequency Contact hours
VA-Auswahl 4 siehe Angebotsrhythmus Modul 56 h
Further information

Module Capacity:
unrestricted

Applicability of the module
  • Master's Programme Computing Science > Angewandte Informatik