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Analysing and Visualising Measurement Data (5 cr)

Code: IE10033-3001

General information


Enrollment

01.04.2024 - 30.04.2024

Timing

26.08.2024 - 20.12.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Campus

Wärtsilä Campus Karjalankatu 3

Teaching languages

  • Finnish

Seats

30 - 50

Degree programmes

  • Degree Programme in Energy and Environmental Engineering

Teachers

  • Tiina Soininen
  • Jani Kangas
  • Anniina Kontiokorpi

Teacher in charge

Anniina Kontiokorpi

Groups

  • IENS22
    Engineer, Energy and Environmental Engineering, Full-Time Studies, Fall, 2022

Objective

You know the concept and basic methods of data filtering and you are able to implement e.g. median and mean filtering, hypothesis testing and linear regression. You know the saving formats for measurement data and you are able to edit data to an appropriate format. You can follow the statistical change using the control card. You can present the results of the data you have analysed and draw conclusions from the results. You are able to visualize and present the key results of the analysed data relevant for the situation and the target group. You are familiar with the concept of knowledge management and you understand the importance of information as a part of a decision making process. You will familiarize yourself with defining the need for data, the concepts of knowledge management and knowledge management as a part of the organisation.

Content

- The amount and quality of the collected data
- Formats for saving data
- Data filtering
- Data analysis as a part of the entire data processing process
- Data editing
- Hypothesis testing
- Control card
- Linear regression
- Data visualisation and presentation
- Presentation of the analysed results
- Data needs
- Concepts of knowledge management
- Knowledge management as a part of the organisation

Evaluation scale

Approved/Rejected