Intelligent environmentsLaajuus (5 cr)
Code: WM00EJ63
Credits
5 op
Teaching language
- Finnish
- English
Objective
You understand the basic concepts of data and big data, artificial intelligence, robotics and IoT.
You understand the significance of security, privacy and ethics in data processing.
Content
What are the basic concepts of data and big data, artificial intelligence, robotics and IoT?
What is the importance of security, privacy and ethics in data processing?
Materials
Basics of data analytics
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 12.05.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 60
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
HJMI23SMWellbeing Management, fulltime studies
Objective
You understand the basic concepts of data and big data, artificial intelligence, robotics and IoT.
You understand the significance of security, privacy and ethics in data processing.
Content
What are the basic concepts of data and big data, artificial intelligence, robotics and IoT?
What is the importance of security, privacy and ethics in data processing?
Materials
Will be presented in learning environment.
Teaching methods
Online studies during course implementation. Previous higher education studies may replace the course and can be discussed at the beginning of the course implementation.
Employer connections
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Students can
-use professional vocabulary systematically
-look for information in the key information sources of the field
-identify interrelated tasks
Assessment criteria equals to grade 3.
Enrollment
07.11.2022 - 18.11.2022
Timing
09.01.2023 - 07.05.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
HJMI22SPWellbeing Management, fulltime studies
Objective
You understand the basic concepts of data and big data, artificial intelligence, robotics and IoT.
You understand the significance of security, privacy and ethics in data processing.
Content
What are the basic concepts of data and big data, artificial intelligence, robotics and IoT?
What is the importance of security, privacy and ethics in data processing?
Materials
Will be presented in learning environment.
Teaching methods
Online studies during course implementation. Previous higher education studies may replace the course and can be discussed at the beginning of the course implementation.
Employer connections
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Students can
-use professional vocabulary systematically
-look for information in the key information sources of the field
-identify interrelated tasks
Assessment criteria equals to grade 3.
Enrollment
07.11.2022 - 18.11.2022
Timing
09.01.2023 - 07.05.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Liiketalouden koulutusyksikkö
Campus
Ecampus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
WMMI22SPWellbeing Management, full-time studies
Objective
You understand the basic concepts of data and big data, artificial intelligence, robotics and IoT.
You understand the significance of security, privacy and ethics in data processing.
Content
What are the basic concepts of data and big data, artificial intelligence, robotics and IoT?
What is the importance of security, privacy and ethics in data processing?
Materials
Will be presented in learning environment.
Teaching methods
Online studies during course implementation. Previous higher education studies may replace the course and can be discussed at the beginning of the course implementation.
Employer connections
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Students can
-use professional vocabulary systematically
-look for information in the key information sources of the field
-identify interrelated tasks
Assessment criteria equals to grade 3.
Enrollment
08.11.2021 - 21.11.2021
Timing
14.02.2022 - 15.05.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Campus
Ecampus
Teaching languages
- English
- Finnish
Seats
0 - 40
Degree programmes
- Degree Programme in Wellbeing Management
Teachers
- Heli Manninen
Teacher in charge
Heli Manninen
Groups
-
WMMI21SPWellbeing management, full-time studies
Objective
You understand the basic concepts of data and big data, artificial intelligence, robotics and IoT.
You understand the significance of security, privacy and ethics in data processing.
Content
What are the basic concepts of data and big data, artificial intelligence, robotics and IoT?
What is the importance of security, privacy and ethics in data processing?
Materials
Will be presented in learning environment.
Teaching methods
Online studies during course implementation. Previous higher education studies may replace the course and can be discussed at the beginning of the course implementation.
Employer connections
-
Student workload
135 h
Evaluation scale
1-5
Assessment methods and criteria
Students can
-use professional vocabulary systematically
-look for information in the key information sources of the field
-identify interrelated tasks
Assessment criteria equals to grade 3.