Mobile and IoT ApplicationsLaajuus (5 cr)
Code: YT00BF18
Credits
5 op
Teaching language
- English
Responsible person
- Liisa Klemola
- Elisa Snicker
Learning objectives
Student
- understands the potential of mobile and IoT (Internet of Things) applications to solve problems and make living easier in different fields of working life, personal life, wellbeing, hobbies, and home
- understands the use of mobile phones in applications by examining typical examples
- knows the constraints and potential of technology used
- can specify development projects where mobile technologies are used, such as use of sensors to measure bodily functions
- knows how internet and national background systems with databases and servers are working in Digital Health applications
- is familiar with most common business models with mobile applications and IoT
- can test a digital health application for a mobile phone.
- knows basic principles of data science and can solve a simple problem with artificial intelligence (AI) tools
Content
Mobile applications
IoT technologies, including sensors and examples
Social and health care national ICT systems integration and applications
Data science and Artificial Intelligent (AI) applications
Enrollment
02.12.2024 - 21.02.2025
Timing
10.03.2025 - 15.05.2025
Credits
5 op
Virtual proportion (cr)
5 op
RD proportion (cr)
5 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
10 - 40
Degree programmes
- Master’s Degree Programme in Digital Health
- Master’s Degree Programme in Digital Health
Teachers
- Rajeev Kanth
- Liisa Klemola
Teaching methods
Expected outcomes
Student
- understands the potential of mobile and IoT (Internet of Things) applications to solve problems and make living easier in different fields of working life, personal life, wellbeing, hobbies, and home
- understands the use of mobile phones in applications by examining typical examples
- knows the constraints and potential of technology used
- can specify development projects where mobile technologies are used, such as use of sensors to measure bodily functions
- knows how internet and national background systems with databases and servers are working in Digital Health applications
- is familiar with most common business models with mobile applications and IoT
- can test a digital health application for a mobile phone.
- knows basic principles of data science and can solve a simple problem with artificial intelligence (AI) tools
Content
Mobile applications
IoT technologies, including sensors and examples
Social and health care national ICT systems integration and applications
Data science and Artificial Intelligent (AI) applications
Student workload
Reading material and writing an assignment 135 h.
Materials
To be announced later.