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Internet of Things (IoT) Project (5 cr)

Code: TX00CI65-3011

General information


Enrollment
02.05.2023 - 18.10.2023
Registration for the implementation has ended.
Timing
23.10.2023 - 17.12.2023
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Unit
(2019-2024) School of ICT
Campus
Karaportti 2
Teaching languages
English
Seats
0 - 35
Degree programmes
Degree Programme in Information Technology
Teachers
Marko Uusitalo
Groups
ICT21-SI-N
Smart IoT Systems: IoT and Networks
Course
TX00CI65

Implementation has 15 reservations. Total duration of reservations is 41 h 0 min.

Time Topic Location
Wed 25.10.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 26.10.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 01.11.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 02.11.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 08.11.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 09.11.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 15.11.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 16.11.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 22.11.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 23.11.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 29.11.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 30.11.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 07.12.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Wed 13.12.2023 time 09:00 - 12:00
(3 h 0 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Thu 14.12.2023 time 12:30 - 15:00
(2 h 30 min)
Internet of Things (IoT) Project TX00CI65-3011
KMD658 Smart IoT -laboratorio
Changes to reservations may be possible.

Objective

The course provides knowledge on Internet of Things applications. On completion of the course students will know the principles of IoT. Students are able to develop applications using machine to machine communications like building automation systems.

Content

- Embedded computing devices in the existing Internet infrastructure
- Machine to machine (M2M) communications, control and measurement

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Students have achieved the course objectives fairly. Students will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

Students have achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Students are able to define the course concepts and models and are able to justify the analysis. The student is able to apply their knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of information technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

Students have achieved the objectives of the course with excellent marks. Students master commendably the course subject area’s concepts and models. Students are able to make justified and fluent analysis and to present concrete development measures. The students are well prepared to apply their knowledge in leisure, study and work situations. Students are able to analyze the information technology sector expertise and the evolvement of their own expertise.

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