inf592 - Special Topics in 'Applied Artificial Intelligence' II (Complete module description)

inf592 - Special Topics in 'Applied Artificial Intelligence' II (Complete module description)

Original version English PDF download
Module label Special Topics in 'Applied Artificial Intelligence' II
Module code inf592
Credit points 6.0 KP
Workload 180 h
Institute directory Department of Computing Science
Applicability of the module
  • Master's Programme Computing Science (Master) > Angewandte Informatik
Responsible persons
  • Sonntag, Daniel (module responsibility)
  • Lehrenden, Die im Modul (authorised to take exams)
Prerequisites

No participant requirement

Skills to be acquired in this module

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
Module contents

This module offers various classes in the field of Learning and Cognitive Systems. For details regarding objectives and content, please refer to the specific class or contact the instructor directly.

Recommended reading

will be announced in the assigned course 

Links
Language of instruction English
Duration (semesters) 1 Semester
Module frequency irregular
Module capacity unlimited
Teaching/Learning method 2 VA aus V, S, Ü, P
Examination Prüfungszeiten Type of examination
Final exam of module

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

Semester-long practical exercises or presentation or oral examination

Type of course Course selection
SWS 2
Frequency see frequency of module offering
Workload attendance time 56 h