inf204 - Embedded Systems II (Course overview)

inf204 - Embedded Systems II (Course overview)

Department of Computing Science 6 KP
Module components Semester courses Summer semester 2024 Examination
Lecture
  • No access 2.01.204 - Eingebettete Systeme II Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Rabeaeh Kiaghadi
    • Akhila Bairy

    Tuesday: 08:00 - 10:00, weekly (from 02/04/24)
    Wednesday: 08:00 - 10:00, weekly (from 03/04/24)

Exercises
  • No access 2.01.204 - Eingebettete Systeme II Show lecturers
    • Prof. Dr. Martin Georg Fränzle
    • Rabeaeh Kiaghadi
    • Akhila Bairy

    Tuesday: 08:00 - 10:00, weekly (from 02/04/24)
    Wednesday: 08:00 - 10:00, weekly (from 03/04/24)

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