Stud.IP Uni Oldenburg
University of Oldenburg
03.07.2022 04:51:41
inf203 - Embedded Systems I
Department of Computing Science 6 KP
Module components Semester courses Wintersemester 2021/2022 Examination
Lecture
  • No access 2.01.203 - Eingebettete Systeme I Show lecturers
    • Dr.-Ing. Willem Hagemann
    • Dr. Alfred Mikschl

    Monday: 08:15 - 09:45, weekly (from 25/10/21)
    Tuesday: 08:15 - 09:45, weekly (from 26/10/21), V/Ü

Exercises
  • No access 2.01.203 - Eingebettete Systeme I Show lecturers
    • Dr.-Ing. Willem Hagemann
    • Dr. Alfred Mikschl

    Monday: 08:15 - 09:45, weekly (from 25/10/21)
    Tuesday: 08:15 - 09:45, weekly (from 26/10/21), V/Ü

Notes for the module
Reference text
This module is compulsory for students who are specialising in "Eingebettete Systeme und Mikrorobotik".

Associaltes with the modules:
In the module "Eingebettete Systeme II" additonal relevant topics such as design processes, HW/SW-Partitioning, High-Level-Synthesis and Hardware discription languages are discussed. The modules Eingebettete Systeme I und II offer cross-references to the module "Rechnerarchitektur", "Realzeitbetriebssysteme" and semantic orientated modules of theoretical computer science. It is possible to enhance the knowledge of embedded systems design by attending the modules "System Level Design" and "Low energy System Design".
Time of examination
At the end of the semester
Module examination
Written or oral exam
Skills to be acquired in this module
This module provides an introduction to the design of digital embedded systems.

Professional competence
The students:
  • name functional and non-functional requirements to specify embedded systems
  • discuss design space and associated embedded systems design methods
  • name control and feedback control systems' core concepts
  • characterise the fundamental digital signal processing algorithms


Methodological competence
The students:
  • design and develop embedded feedback control systems with modelling tools
  • implement an embedded hardware-/software system according to a given specification
  • analyze various specification languages according to different properties


Social competence
The students:
  • implement solutions to given problems in teams
  • present results of computer science problems to groups
  • organize themselves as a team to solve a larger problem using project management methods


Self-competence
The students:
  • acknowledge the limits of their ability to cope with pressure during the implementation process of systems
  • solve excercises self-responsibly

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