IoT and Intelligent SystemsLaajuus (5 cr)
Code: R504D62
Credits
5 op
Teaching language
- English
Objective
The student can implement an IoT-system as part of intelligent systems. The student knows the aspects of system architecture from the hardware level to the user interface or application layer. The student can implement the functionality required by the IoT-system by utilizing APIs.
Content
- OSI model and IoT
- Interface libraries and APIs
- Control automation system as part of IOT
- Dataflow programming
- Connecting a smart system to the internet
- Systems security and access control
Assessment criteria, satisfactory (1)
The student can utilize interfaces and implement an IoT-system that utilizes interfaces with APIs.
Assessment criteria, good (3)
The student can implement a system that has the main components of an intelligent system (sensors, software, data acquisition and storing the data to a database). The student can implement both monitoring and controlling of the system.
Assessment criteria, excellent (5)
The student can implement an intelligent system where the functionality is either a state machine or based on data flow. The student is able to choose suitable programming paradigm for the current situation.
Enrollment
01.10.2021 - 13.01.2022
Timing
12.01.2022 - 29.04.2022
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Anssi Ylinampa
- Tommi Kokko
Responsible person
Tommi Kokko
Scheduling groups
- Harjoitusryhmä 1 (Size: 0. Open UAS: 0.)
- Harjoitusryhmä 2 (Size: 0. Open UAS: 0.)
Student groups
-
R54D21SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2021
Education groups
- Harjoitusryhmä 1
- Harjoitusryhmä 2
Objective
The student can implement an IoT-system as part of intelligent systems. The student knows the aspects of system architecture from the hardware level to the user interface or application layer. The student can implement the functionality required by the IoT-system by utilizing APIs.
Content
- OSI model and IoT
- Interface libraries and APIs
- Control automation system as part of IOT
- Dataflow programming
- Connecting a smart system to the internet
- Systems security and access control
Teaching methods
laboratory work ,
real time electronic systems , hardware and software
sensors and actuators
testing and documenting
Exam schedules
there is not examination
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
The student can utilize interfaces and implement an IoT-system that utilizes interfaces with APIs.
Assessment criteria, good (3)
The student can implement a system that has the main components of an intelligent system (sensors, software, data acquisition and storing the data to a database). The student can implement both monitoring and controlling of the system.
Assessment criteria, excellent (5)
The student can implement an intelligent system where the functionality is either a state machine or based on data flow. The student is able to choose suitable programming paradigm for the current situation.
Assessment methods and criteria
technical documentation and reports
functionality of electronic system