IoT Project (10 cr)
Code: TX00EX87-3002
General information
- Enrollment
-
06.05.2024 - 20.10.2024
Registration for the implementation has ended.
- Timing
-
21.10.2024 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 10 cr
- Local portion
- 10 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
- Tapio Wikström
- Marko Uusitalo
- Groups
-
ICT22-SI-NSmart IoT Systems: IoT and Networks
- Course
- TX00EX87
Implementation has 32 reservations. Total duration of reservations is 96 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 21.10.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 21.10.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 28.10.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 28.10.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 04.11.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 04.11.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 11.11.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 11.11.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 18.11.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 18.11.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 25.11.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 25.11.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 02.12.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 02.12.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 09.12.2024 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Mon 09.12.2024 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 16.01.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 16.01.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
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Thu 23.01.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 23.01.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
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Thu 30.01.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 30.01.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 06.02.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 06.02.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 13.02.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 13.02.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 27.02.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 27.02.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 06.03.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 06.03.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 13.03.2025 time 09:00 - 12:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
|
Thu 13.03.2025 time 13:00 - 16:00 (3 h 0 min) |
IoT Project TX00EX87-3002 |
KMD658
Smart IoT -laboratorio
|
Objective
The course provides practical knowledge on Internet of Things applications. Upon completion of the course students will know the principles of IoT and be able to demonstrate a working end to end IoT solution. Students will be required to design, implement, test and demonstrate their working solution.
Content
• Embedded computing devices in the existing internet infrastructure
• Machine to machine (M2M) communications, control and measurement
• MQTT, LoRa
• Server and client side development
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in free time, learning and working life situations
• understands the importance of expertise in the ICT field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in free time, learning and working life situations
• is able to analyse expertise in the ICT field and their own development towards expertise.
Assessment criteria, approved/failed
The student
• has achieved the objectives of the course
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.