| Proficiency level |
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| Status |
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| ECTS Credits |
5 ECTS / 135 hours of work
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| Language of instruction |
English
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| Timing |
Autumn semester during period 2.
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| Learning outcomes |
Upon completion of the course, the student will be able to:
1. explain application areas of IoT and requirements from such application areas for IoT systems.
2. will be able to explain the state-of-the-art IoT solutions, and understand the basic technologies behind them.
3. learn the principles of the novel IoT technologies and know important directions IoT research towards.
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| Contents |
The basic technologies and novel applications of the Internet of Things, including networking technologies as well as Web of Things. IoT sensor technologies and sensing solutions for smart buildings including smart home, city, office, or campus environments, and wearables and other personal devices such as fabrication. Exercises will include hands-on programming and sensing data analytics tasks.
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| Mode of delivery |
The course will be given fully remotely. Please join the Moodle page (https://moodle.oulu.fi/course/view.php?id=5330, password is iot2020) and attend the introduction Zoom lectures in Tue 27.10. 10:15-12 (for general organisation) and Wed 28.10. 14:15-16 (for course project).
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| Learning activities and teaching methods |
20h lectures, 12h exercise sessions, independent studying 95 hours.
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| Target group |
M.Sc. students of Computer Science and Engineering, M. Sc. students of Ubicomp International master program. The course fits also for Statistics and Math MSc student interested in applying their knowledge into sensing and IoT data.
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| Prerequisites and co-requisites |
The Bachelor level knowledge of Computer science and engineering study programmes. Good programming skills in a chosen language.
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| Recommended optional programme components |
The course is an independent entity and does not require additional studies carried out at the same time.
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| Recommended or required reading |
Lecture hand-out, complementary reading list, and exercise material will be provided.
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| Assessment methods and criteria |
Attending lectures and exercise sessions, and returning the weekly exercises online.
Read more about assessment criteria at the University of Oulu webpage.
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| Grading |
The course utilises a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
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| Person responsible |
Ella Peltonen
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| Working life cooperation |
The course may include the invited guest lectures from industry and other top EU universities.
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| Other information |
Course work space can be found from University of Oulu Moodle platform moodle.oulu.fi.
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