IoTLaajuus (5 cr)
Code: TE00BR03
Credits
5 op
Teaching language
- Finnish
Responsible person
- Matti Welin
Objective
The student is able to
- understand the contribution of IoT to the significant increase in the amount of data, understand the nature of sensor data and know the basic principles of data processing at the sensor level
- understand the basic structure of IoT devices
- store measurement results in a database and understand the usability of time series databases
- transfer the measurement results to the cloud service using the standard IoT protocol
- describe the structures of different IoT network architectures and their integration into larger information systems
- take into account the specific security risks of IoT technologies
Enrollment
20.11.2023 - 12.01.2024
Timing
13.05.2024 - 16.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
15 - 35
Degree programmes
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Matti Welin
- Tommi Veijalainen
- Juha Hyytiäinen
Scheduling groups
- Luennot 1 (Size: 500. Open UAS: 0.)
Groups
-
TLTIYITT24KV
Small groups
- Lecture 1
Learning outcomes
The student is able to
- understand the contribution of IoT to the significant increase in the amount of data, understand the nature of sensor data and know the basic principles of data processing at the sensor level
- understand the basic structure of IoT devices
- store measurement results in a database and understand the usability of time series databases
- transfer the measurement results to the cloud service using the standard IoT protocol
- describe the structures of different IoT network architectures and their integration into larger information systems
- take into account the specific security risks of IoT technologies
Assessment scale
1-5
Enrollment
15.05.2023 - 01.09.2023
Timing
16.10.2023 - 19.10.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Degree programmes
- Complementary competence and optional courses, Masters
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Matti Welin
- Tommi Veijalainen
Scheduling groups
- Luennot 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTIYITT23SV
Small groups
- Luennot 1
Learning outcomes
The student is able to
- understand the contribution of IoT to the significant increase in the amount of data, understand the nature of sensor data and know the basic principles of data processing at the sensor level
- understand the basic structure of IoT devices
- store measurement results in a database and understand the usability of time series databases
- transfer the measurement results to the cloud service using the standard IoT protocol
- describe the structures of different IoT network architectures and their integration into larger information systems
- take into account the specific security risks of IoT technologies
Assessment scale
1-5
Enrollment
01.07.2022 - 04.09.2022
Timing
17.10.2022 - 20.10.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Matti Welin
- Tommi Veijalainen
- Juha Hyytiäinen
Scheduling groups
- Opetus (Size: 200. Open UAS: 0.)
Groups
-
TLTIYITT22SV
Small groups
- Teaching
Learning outcomes
The student is able to
- understand the contribution of IoT to the significant increase in the amount of data, understand the nature of sensor data and know the basic principles of data processing at the sensor level
- understand the basic structure of IoT devices
- store measurement results in a database and understand the usability of time series databases
- transfer the measurement results to the cloud service using the standard IoT protocol
- describe the structures of different IoT network architectures and their integration into larger information systems
- take into account the specific security risks of IoT technologies
Assessment scale
1-5