Uusi opinto-opas (sisältäen myös opetusohjelmat) lukuvuodelle 2018-2019 sijaitsee osoitteessa https://opas.peppi.utu.fi . Tältä sivustolta löytyvät enää vanhat opinto-oppaat ja opetusohjelmat.

The new study guide (incl. teaching schedules) for academic year 2018-2019 can be found at https://studyguide.utu.fi. This site contains only previous years' guides.

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Archived Curricula Guide 2016–2018
Curricula Guide is archieved. Please refer to current Curricula Guides
DTEK2013 DSP for Networked Embedded Systems 5 ECTS
Organised by
Information and Communication Technology
Preceding studies
C programming, MATLAB and microprocessor technology (Recommended)

Learning outcomes

The technological goal of the course is that students understand the implementation architectures and other relevant engineering fundamentals for performing DSP in networked embedded systems. The students are able to make correct and system level analysis based design choices when designing systems and applications for signal processing. They are also able to apply the principles in order to implement, design and optimize signal processing algorithms in parallel distributed systems including multimedia signal processing and collaborative signal processing in sensor networks.


Topics covered in the course include implementation architectures and engineering fundamentals of signal processing, system level analyses, systems scalability, optimization and self-awareness/context-awareness issues in networked embedded systems. As an application case study multimedia signal processing, and collaborative DSP in sensor networks are also discussed.

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
  • In English
Oral exam
  • In English

Homeworks. Engineering problems. Returned documents. Group discussions and presentations.



Belongs to following study modules

Department of Future Technologies
Department of Future Technologies
Department of Biochemistry
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Department of Future Technologies
DP in Computer Science
DP in Computer Science
DP Bachelor of Science in Techn.(Communication St)
DP in Information and Communication Technology
MDP in Digital Health and Life Sciences (Tech.)
Finnish Study Modules