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
Curricula Guides » Faculty of Science and Engineering » Department of Future Technologies » Internet-of-Things
DTEK0043 IoT Systems: Design and Applications 5 ECTS
Organised by
Information and Communication Technology
Person in charge
Matti Kaisti

Learning outcomes

Understand challenges in Internet of Things (IoT) system design, obtain knowledge of IoT applications, understand specifications and modeling approaches for real-time and IoT systems, understand distributed embedded system hardware (sensors, actuators, processing units, memories, communication, and A/D & D/A conversion), understand distributed embedded system software, and operating systems, is able to design and implement hardware and software for a IoT application.

Contents

Internet of Things has the potential to alter radically the way in which people interact with their environment by linking a range of devices and sensors that will allow information to be collected, shared, and processed in unprecedented ways. Topics covered include specification models and languages using shared memory or message passing communication, hardware devices such as sensors, actuators, processing units and memories, and converters, and wired/wireless communication media. Real-time operating systems and middleware will be also covered briefly. Several application areas and examples will be discussed from their common characteristics, requirements and implementation point of view. In the exercises and lab demonstrations, IoT based systems are implemented using different platforms such as Arduino, Raspberry Pi, Intel Galileo and Panda Board and a set of various sensors/actuators, including both software and hardware.

Teaching methods

Exercises, Hands-on Demonstrations, Project, and Project Report

Modes of study

Option 1
Available for:
  • Degree Programme Students
  • Other Students
  • Doctoral Students
  • Exchange Students
Exercise(s)
  • In English
Project / practical work
  • In English

Evaluation

Numeric 0-5.

Belongs to following study modules

Department of Future Technologies
Department of Future Technologies
Department of Biochemistry
2018–2019
Teaching
Archived Teaching Schedule. Please refer to current Teaching Shedule.
Implementation details are unavailable.
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