inf204 - Embedded Systems II (Course overview)
Department of Computing Science |
6 KP |
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Module components |
Semester courses Sommersemester 2023 |
Examination |
Lecture
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2.01.204 - Eingebettete Systeme II
- 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.
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Exercises
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2.01.204 - Eingebettete Systeme II
- 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.
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Hinweise zum Modul |
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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