inf204 - Embedded Systems II (Course overview)

inf204 - Embedded Systems II (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Sommersemester 2023 Examination
Lecture
  • No access 2.01.204 - Eingebettete Systeme II Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Rabeaeh Kiaghadi

    Tuesday: 12:15 - 13:45, weekly (from 11/04/23), Location: V03 0-M017
    Wednesday: 08:15 - 09:45, weekly (from 12/04/23), Location: V04 1-146
    Das Modul leistet eine Einführung in den Entwurf digitaler eingebetteter Systeme.
Exercises
  • No access 2.01.204 - Eingebettete Systeme II Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Rabeaeh Kiaghadi

    Tuesday: 12:15 - 13:45, weekly (from 11/04/23), Location: V03 0-M017
    Wednesday: 08:15 - 09:45, weekly (from 12/04/23), Location: V04 1-146
    Das Modul leistet eine Einführung in den Entwurf digitaler eingebetteter Systeme.
Notes on the module
Prerequisites

No participant requirement
Reference text

This module is supposed to be a compulsory module for students who are specialising in "Eingebettete Systeme und Mikrorobotik".
Prüfungszeiten

At the end of the lecture times
Module examination

Written or oral Exam
Skills to be acquired in this module

The module provides an introduction to digital embedded systems design.
Professional competence
The students:

  • name embedded systems architectures
  • name specific hardware components and -architecture designs, particularly processor designs
  • characterise the design spaces and associated embedded systems design techniques
  • decompose subcomponents of feedback control systems and implement their tasks in different design spaces
  • develop software-/hardware components
  • describe fault-tolerance architecture principles
  • describe real-time and safety requirements analysing techniques
  • characterise hardware synthesis

Methodological competence
The students:

  • estimate the consequences of design decisions in terms of energy usage, performance and reliability component allocations, and designs
  • implement an embedded hardware-/software system according to a given specification
  • model hardware with a hardware description languages - analyze Hardware-/Software systems using event-bases simulation

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
  • deal self responsibly with exercises