![[IV] Internet of Things](https://www.kis.fri.uniza.sk/wp-content/themes/Divi-child/imgs/KIS-subject-default.png)
Main objectives of the course:
Upon successful completion of this course, the student understands the basic principles on which the world of the Internet of Things is built.
The listener is able to select suitable hardware (platform, sensors, actuators) and use them in their application. It can process the data and then send, save and view it in the selected cloud service.
| Course information sheet | |||||||||||||
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| University: University of Žilina | |||||||||||||
| Faculty: Faculty of Management Science and Informatics | |||||||||||||
| Course ID: 5UI128 | Course name: Internet of Things (IV) | ||||||||||||
| Form, extent and method of teaching activities: | |||||||||||||
| Number of classes per week in the form of lectures, laboratory exercises, seminars or clinical practice | Lectures: 2.0 Seminars: 0.0 Lab.exercises: 2.0 | ||||||||||||
| Methods by which the educational activity is delivered | Present form of education | ||||||||||||
| Applied educational activities and methods suitable for achieving learning outcomes | |||||||||||||
| Number of credits: 5.0 | |||||||||||||
| Study workload: hours Specification of the study workload: | |||||||||||||
| Recommended term of study: 3. year, winter semester | |||||||||||||
| Study degree: 1. | |||||||||||||
| Required subsidiary courses: Prerequisites: Co-requisites: | |||||||||||||
| Course requirements: Continuous assessment / evaluation: The condition for successful completion of exercises for the subject is systematic work on exercises assessed by meeting the following criteria: - Successful implementation of selected Internet of Things application - max. 50 points - Activity in exercises (eg solving specific tasks) - max. 10 points Final assessment /evaluation: A maximum of 40 points can be obtained for the exam. The condition for successful completion of the course is to obtain a total of at least 61 out of 100 points for work in the semester and to pass the examination in the course. The exam is written, the tasks will be focused on practical solving of examples as well as on demonstrating theoretical knowledge. Final evaluation of the subject: 100-92 A 91-84 B 83-76 C 75-68 D 67-61 E To enroll for an exam student must have - points. | |||||||||||||
| Course outcomes: Upon successful completion of this course, the student understands the basic principles on which the world of the Internet of Things is built. The listener is able to select suitable hardware (platform, sensors, actuators) and use them in their application. It can process the data and then send, save and view it in the selected cloud service. | |||||||||||||
| Course scheme: Lectures: 1. Introduction to the world of the Internet of Things. 2. Basic concepts. 3. Overview of platforms for the Internet of Things - Arduino. 4. Platforms for Internet of Things - Raspberry Pi. 5. Sensory subsystem. 6. Control of actuators. 7. Communication subsystem. 8. Storage and processing of measured data. 9. Privacy and security in Internet of Things applications. 10. Power sources for Internet of Things applications. 11. Selected applications of the Internet of Things (Smart city). 12. Selected applications of the Internet of Things (Intelligent Buildings). 13. Selected Internet of Things applications (Industry 4.0). Excercises: 1. Getting to know the work in the IT Science laboratory. 2. Basic electrotechnical skills (measurement of selected quantities, identification of individual electronic components). 3. Arduino. 5. Raspberry Pi. 5. Sensing of selected physical quantity on Arduino platform. 6. Sensing of selected physical quantity on the Raspberry Pi platform. 7. Control of selected actuators. 8. Communication and data sending. 9. - 13. Work on semestral work. | |||||||||||||
| Literature: Jordi Salazar, Santiago Silvestre: Internet vecí, České vysoké učení technické v Praze, Fakulta elektrotechnická 2017, ISBN 978-80-01-06235-7 Juraj Vaculík: Od telemetrie k internetu vecí I (Veci, siete, dáta, uloženie), EDIS, 2019, ISBN 978-80-55-41521-5 Juraj Vaculík: Od telemetrie k internetu vecí II (Dátová analytika, umelá inteligencia, bezpečnosť a digitálna ekonomika), EDIS, 2019, ISBN 978-80-55-41522-2 Eben Upton, Gareth Halfacree: Raspberry Pi (Uživatelská příručka), Computer Press, 2016, ISBN 978-80-25-14819-8 | |||||||||||||
| Instruction language: slovak | |||||||||||||
| Notes: | |||||||||||||
| Course evaluation:: Total number of evaluated students: 19
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| A | B | C | D | E | FX | ||||||||
| 47.37 % | 0.00 % | 0.00 % | 0.00 % | 0.00 % | 52.63 % | ||||||||
| Course teachers: Lecture: doc. Ing. Peter Ševčík, PhD. Laboratory: doc. Ing. Peter Ševčík, PhD. | |||||||||||||
| Last updated: 2021-08-25 05:10:36.000 | |||||||||||||
| The person responsible for the course: doc. Ing. Peter Ševčík, PhD. | |||||||||||||
| Approved by: prof. Ing. Pavel Segeč, PhD. | |||||||||||||