Data Analyzation and VisualizationLaajuus (5 cr)
Code: YY00CB89
Credits
5 op
Teaching language
- Finnish
Objective
The student is able to
- examine the properties of the data in terms of further processing
- utilize mathematical methods in data analysis
- utilize a modern statistical tool
- visualize data and analysis in a way that utilizes further processing
- produce a reproducible research
Enrollment
06.05.2024 - 25.08.2024
Timing
26.08.2024 - 29.08.2024
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
10 - 60
Degree programmes
- Master of Engineering, Regenerative Leadership
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Minna Asplund
- Henri Koukka
- Erjaleena Koljonen
Scheduling groups
- Luennot 1 (Size: 100. Open UAS: 0.)
Groups
-
TLTIYITT24KV
-
LLPRYASLI23KV
-
LLTIYLDR23SV
-
TLTIYUJT24SV
Small groups
- Lecture 1
Learning outcomes
The student is able to
- examine the properties of the data in terms of further processing
- utilize mathematical methods in data analysis
- utilize a modern statistical tool
- visualize data and analysis in a way that utilizes further processing
- produce a reproducible research
Assessment scale
1-5
Enrollment
15.05.2023 - 01.09.2023
Timing
27.11.2023 - 30.11.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Complementary competence and optional courses, Masters
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTIYITT23SV
Small groups
- Verkkoluento 1
Learning outcomes
The student is able to
- examine the properties of the data in terms of further processing
- utilize mathematical methods in data analysis
- utilize a modern statistical tool
- visualize data and analysis in a way that utilizes further processing
- produce a reproducible research
Assessment scale
1-5
Enrollment
15.08.2022 - 04.09.2022
Timing
14.11.2022 - 31.12.2022
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Master’s Degree Programme in Engineering, from IoT to AI
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTIYITT22SV
Small groups
- Verkkoluento 1
Learning outcomes
The student is able to
- examine the properties of the data in terms of further processing
- utilize mathematical methods in data analysis
- utilize a modern statistical tool
- visualize data and analysis in a way that utilizes further processing
- produce a reproducible research
Assessment scale
1-5