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Environment and wellbeing data 1 (6 cr)

Code: WM00DJ70-3002

General information


Enrollment
16.12.2019 - 10.01.2020
Registration for the implementation has ended.
Timing
16.03.2020 - 30.04.2020
Implementation has ended.
Number of ECTS credits allocated
6 cr
Local portion
6 cr
Mode of delivery
Contact learning
Unit
Liiketalouden koulutusyksikkö, Mikkeli (vanhennettu)
Campus
Mikkeli Campus
Teaching languages
English
Degree programmes
Degree Programme in Wellbeing Management
Teachers
Heli Manninen
Maija Vihervirta
Teacher in charge
Heli Manninen
Groups
WMMI20KP
Wellbeing management, full-time studies
Course
WM00DJ70
No reservations found for realization WM00DJ70-3002!

Objective

Active Life Lab Internet of Things (IOT)
You understand the characteristics and the added value of data produced by IoT in the field of wellbeing.
You learn to use IoT connected equipment to collect data in Active Life Lab environment.

Data management and interpretation
You know how to manage and analyze collected data.
You know how to process and store data in a secure way.
You understand the general data protection regulations and security requirements.

Wellbeing environments
You can guide the customer to use appropriate services to promote wellbeing.
You know the significance of different actor quarters as part of the service chain.
You know the ways of organizing and producing social and health care services and guidance and supervision in your own country

Content

Active Life Lab Internet of things (IOT)
What are the core technologies and connections of IoT.
How to link an IoT system to cloud services?
What added value can be achieved from data produced by IoT?
What is IoT?
How to use IoT connected equipment to collect data in Active Life Lab environment?

Wellbeing environments
In what kind of environment and culture do services take place?
How does human concept define services?
How does the customer orientation affect the implementation of services?
How are the social and health care services produced and organized in your own country?

Data management and interpretation
How to manage and analyze collected data.
How to process and store data in a secure way.
You understand the general data protection regulations and security requirements.

Evaluation

a. use professional vocabulary systematically.
b. look for information in the key information sources of the field.
e. use the key models, methods, software and techniques of the professional field.
g. justify their actions according to the ethical principles of the professional field.

Evaluation scale

1-5

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