Robotics and Autonomous Systems

Module guide

Modul CS5170-KP04, CS5170

Hardware/Software Co-Design (HWSWCod)

Duration:

1 Semester

Turnus of offer:

each winter semester

Credit points:

Course of studies, specific field and terms:

Master Computer Science 2019 (compulsory), Canonical Specialization SSE, Arbitrary semester
Master Computer Science 2019 (optional subject), Elective, Arbitrary semester
Master Media Informatics 2020 (optional subject), computer science, Arbitrary semester
Master Robotics and Autonomous Systems 2019 (optional subject), Elective, 1st or 2nd semester
Master Computer Science 2014 (compulsory), specialization field software systems engineering, 1st or 2nd semester
Master MES 2011 (advanced curriculum), imaging systems, signal and image processing, 1st or 3rd semester
Master Media Informatics 2014 (optional subject), computer science, Arbitrary semester
Master Computer Science 2012 (optional subject), specialization field robotics and automation, 2nd or 3rd semester
Master Computer Science 2012 (optional subject), advanced curriculum parallel and distributed system architecutres, 2nd or 3rd semester
Master Computer Science 2012 (optional subject), advanced curriculum intelligent embedded systems, 2nd or 3rd semester
Master Computer Science 2012 (compulsory), specialization field software systems engineering, 2nd semester

Classes and lectures:

Hardware/Software Co-Design (exercise, 1 SWS)
Hardware/Software Co-Design (lecture, 2 SWS)

Workload:

55 Hours private studies
45 Hours in-classroom work
20 Hours exam preparation

Contents of teaching:
System design flow Basic architectures for HW/SW systems System design and modelling System synthesis Algorithms for scheduling System partitioning Algorithms for system partitioning Design systems Performance analysis System design and specification with SystemC Application examples

Qualification-goals/Competencies:

Students are able to determine a suitable hardware/software architecture for a given system description
They are able to determine and describe the pros and cons of implementation alternatives
They are able to apply methods for system partitioning
They are able to translate non-formal system descriptions into formal models
They are able to explain the different steps in system synthesis
They are able to estimate the quality of system designs
They are able to create system descriptions in SystemC

Grading through:

Written or oral exam as announced by the examiner

Responsible for this module:

Prof. Dr.-Ing. Mladen Berekovic

Teachers:

Institute of Computer Engineering

Prof. Dr.-Ing. Mladen Berekovic

Literature:

F. Kesel: Modellierung von digitalen Systemen mit SystemC - Oldenbourg Verlag 2012
Teich, J., Haubelt, C.: Digital Hardware/Software-Systeme. Synthese und Optimierung - Berlin: Springer 2007

Language:

offered only in German

Notes:

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- Successful completion of exercise assignments as specified at the beginning of the semester

Module Exam(s):
- CS5170-L1: Hardware/Software Co-Design, oral exam, 100% of the module grade

Letzte Änderung:

2.9.2021