inf204 - Embedded Systems II

inf204 - Embedded Systems II

Department of Computing Science 6 KP
Module components Semester courses Examination
Lecture
  • No access 2.01.204 - Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Paul Kröger
    • Dr. Alfred Mikschl

    Monday: 08:15 - 09:45, weekly (from 25/04/22), V, Location: A05 1-160
    Tuesday: 08:15 - 09:45, weekly (from 19/04/22), V/Ü, Location: A06 0-001, V04 1-146
    Dates on Tuesday, 19.07.2022 08:00 - 11:45, Location: ((OFFIS D119/120))

Exercises
  • No access 2.01.204 - Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Paul Kröger
    • Dr. Alfred Mikschl

    Monday: 08:15 - 09:45, weekly (from 25/04/22), V, Location: A05 1-160
    Tuesday: 08:15 - 09:45, weekly (from 19/04/22), V/Ü, Location: A06 0-001, V04 1-146
    Dates on Tuesday, 19.07.2022 08:00 - 11:45, Location: ((OFFIS D119/120))

Hinweise zum Modul
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

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