inf813 - Current Topics in Computer Science II (Course overview)

inf813 - Current Topics in Computer Science II (Course overview)

Department of Computing Science 3 KP
Semester courses Winter semester 2023/2024
Type of course: Course selection
  • No access 2.01.180 - Smart Data Interoperability Show lecturers
    • Prof. Dr. Andreas Winter
    • Florian Schmalriede
    • Dr. rer. nat. Christian Schönberg
    • Roman Behrens, M.A. / MBA

    Dates on Wednesday, 25.10.2023 10:00 - 11:00, Friday, 10.11.2023 12:30 - 13:30, Friday, 24.11.2023 14:00 - 16:00, Friday, 15.12.2023, Friday, 12.01.2024 12:15 - 13:00, Friday, 26.01.2024 12:15 - 15:00
  • No access 2.01.813 - Grundlagen der Kausaltheorie Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Christian Neurohr
    • Lina Putze
    • Tjark Koopmann

    Monday: 14:00 - 16:00, weekly (from 16/10/23)
Notes on the module
Prerequisites

No participant requirements

Reference text

If more than one course is assigned to the module, you should generally select a seminar totalling 2 SWS 
Further information can be found in the description (details) of the assigned courses.
 

Module examination

Exercises or presentation or oral exam or written exam

Skills to be acquired in this module

This module integrates current computer science developments into the business informatics program, especially considering the selected focus area, by appropriate study courses.
Professional competence

The students:

  • know recent technological or scientific computer science developments
  • transfer computer science methods and development models to IT application area requirements
  • evaluate the possibilities and limitations of computer science methods and tools and apply them appropriately

Methodological competenc
The students:

  • review problems, formulate them with formal models and explore them appropriately
  • Identify and present (one or more) computer science problem solutions
  • select and evaluate appropriate tools and methods
  • examine problems with technical and scientific literature

Social competence
The students:

  • work in a team

Self-competence:
The Students:

  • plan their informatical actions independently