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
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
|
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.