Data analytics (5 cr)
Code: RO00EH38-3001
General information
- Enrollment
-
06.11.2023 - 17.11.2023
Registration for the implementation has ended.
- Timing
-
08.01.2024 - 26.04.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Department of Construction and Energy Engineering
- Campus
- Kouvola Campus
- Teaching languages
- Finnish
- Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
- Teachers
- Meri-YAMK Virtuaali
- Teacher in charge
- Arja Sinkko
- Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
- Course
- RO00EH38
Objective
You know the importance of the right information in solving a problem and know how to use data-based decision-making methods.
You will understand the possibilities offered by large data sets and you will know the tools and methods used to handle them.
You know how to use key mathematical methods related to data analytics. You can communicate effectively with data and visualize datasets and results.
Content
How does data become information and knowledge?
How is the data processed?
How is the data interpreted?
What does data based decision making mean?
How can massive amounts of data be used in decision making?
Evaluation
Students can
a. use professional vocabulary and concepts in an expert way in different situations.
b. evaluate information sources critically.
c. work as team members in working life expert duties and identify and describe the problems of the professional field.
d. evaluate operations in customer, user and target group situations.
e. choose appropriate models, methods, software and techniques according to the purpose and justify these choices.
f. promote teams’ goal-oriented operation.
g. apply critically the ethical principles of the professional field in different situations
Evaluation scale
1-5