Data analysis and visualizationLaajuus (10 cr)
Code: AT00BY42
Credits
10 op
Objective
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Enrollment
06.05.2024 - 30.08.2024
Timing
02.09.2024 - 01.11.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 60
Degree programmes
- Bachelor’s Degree Programme in Environmental Engineering
- Bachelor's Degree Programme in Information Technology
Teachers
- Minna Asplund
- Henri Koukka
- Erjaleena Koljonen
Scheduling groups
- Luennot 1 (Size: 100. Open UAS: 0.)
Groups
-
TLTITVT22K
-
TLTIENTEC23KM
-
TLTITVT22SV
-
TLTIENTEC22KM
Small groups
- Lecture 1
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5
Enrollment
20.11.2023 - 05.01.2024
Timing
08.01.2024 - 08.03.2024
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Bachelor's Degree Programme in Information Technology
- Complementary competence and optional courses, Bachelors
Teachers
- Henri Koukka
- Minna Asplund
- Erjaleena Koljonen
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTITVT22K
-
TLTITVT22SV
-
TLTITVT23KM
Small groups
- Online lecture 1
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5
Enrollment
15.05.2023 - 01.09.2023
Timing
04.09.2023 - 03.11.2023
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Bachelor's Degree Programme in Information Technology
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
TLTITVT21K
-
TLTITVT20SV
Small groups
- Verkkoluento 1
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5
Enrollment
21.11.2022 - 08.01.2023
Timing
09.01.2023 - 28.04.2023
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Bachelor's Degree Programme in Information Technology
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Verkkoluento 1 (Size: 500. Open UAS: 0.)
Groups
-
TLTITVT21SV
-
TLTITVT22K
-
TLTITVT21K
-
07TVT20K
-
TLTITVT22SV
-
TLTITVT20SV
Small groups
- Verkkoluento 1
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5
Enrollment
01.07.2022 - 01.09.2022
Timing
05.09.2022 - 04.11.2022
Number of ECTS credits allocated
10 op
Virtual portion
10 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Bachelor's Degree Programme in Information Technology
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Verkkoluento 1 (Size: 0. Open UAS: 0.)
Groups
-
07TVT20K
-
TLTITVT20SV
Small groups
- Verkkoluento 1
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5
Enrollment
19.11.2021 - 09.01.2022
Timing
10.01.2022 - 20.03.2022
Number of ECTS credits allocated
10 op
Virtual portion
7 op
Mode of delivery
30 % Contact teaching, 70 % Distance learning
Unit
Faculty of Technology (LAB)
Campus
- Lahti Campus
- E-campus, Lahti
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Bachelor's Degree Programme in Information Technology
Teachers
- Henri Koukka
- Erjaleena Koljonen
- Minna Asplund
Scheduling groups
- Opetus (Size: 0. Open UAS: 0.)
Groups
-
07TVT20K
-
07TVT19SV, Lahti
Small groups
- Lectures
Learning outcomes
The student is able to
- utilize mathematical methods to analyze and to predict phenomena
- utilize a modern statistical tool
- visualize data to identify its properties, analysis interpretation and to facilitate further processing
Assessment scale
1-5