5 ECTS / 135 hours of work
Spring semester during period II
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.
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.
face-to-face teaching and exercises (both individual and group work)
20h lectures, 12h exercise sessions, independent studying 95 hours.
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.
The Bachelor level knowledge of Computer science and engineering study programmes. Good programming skills in a chosen language.
|Yhteydet muihin opintojaksoihin
The course is an independent entity and does not require additional studies carried out at the same time.
Lecture hand-out, complementary reading list, and exercise material will be provided.
|Suoritustavat ja arviointikriteerit
Attending lectures and exercise sessions, and returning the weekly exercises online.
Read more about assessment criteria at the University of Oulu webpage.
The course utilises a numerical grading scale 1-5. In the numerical scale zero stands for a fail.
The course may include the invited guest lectures from industry and other top EU universities.
Kurssin työtila löytyy Oulun yliopiston Moodle-alustalta moodle.oulu.fi.