inf012 Operating Systems I (Course overview)

inf012 Operating Systems I (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Sommersemester 2020 Examination
Lecture
  • No access 2.01.012 - Betriebssysteme I Lehrende anzeigen
    • Oliver Theel
    Termine anzeigen
    • Thursday, 10:00 - 12:00, Weekly (from 23.04.20)
    • Monday, 20.07.20, 12:00 - 14:00 o'clock
    • Monday, 20.07.20, 12:00 - 14:00 o'clock
    • Friday, 04.09.20, 08:00 - 10:00 o'clock
    • Thursday, 08.10.20, 08:00 - 10:00 o'clock
    • Thursday, 08.10.20, 08:00 - 10:00 o'clock
    • Thursday, 08.10.20, 08:00 - 10:00 o'clock
    • Thursday, 08.10.20, 08:00 - 10:00 o'clock
    • Thursday, 08.10.20, 08:00 - 10:00 o'clock

Exercises
Hinweise zum Modul
Prerequisites

Useful prior knowledge:
Study contents of the first year of the subject Bachelor of Computer Science or Business Informatics.

Zusätzliche Hinweise

Linked to the modules:

  • Operating Systems II (as a possible follow-up course)
  • Distributed Operating Systems (as a possible specialization)
  • Operating Systems Practicum

Module Capacity:
unrestricted

Prüfungsart, -umfang, -dauer

Written or oral exam

Prüfungszeiten

End of the lecture period

Lernergebnisse/Kompetenzen

To gain knowledge of and capabilities in the design, the implementation, and the evaluation of operating systems.
Professional competence
The students:

  • develop an understanding of operating systems regarding terminology, structure, functionality, conception, central challenges and solutions
  • evaluate the performance of operating systems
  • are aware of the implementation problems of operating systems
  • realise and evaluate solutions of subproblems
  • comprehend and evaluate the functional connections between application systems and hardware
  • understand operating systems as a link between technical and applied computer science

Methodological competence
The students:

  • transfer concepts of implementations to other contexts
  • question different solutions wrt. properties

Social competence
The students:

  • solve problems in small teams
  • present their solutions to the members of the tutorial
  • discuss their different solutions with members of the tutorial

Self-competence
The students:

  • accept criticism
  • question their initial solutions in the light of newly learned methods