Big data and visualizationLaajuus (5 cr)
Code: IT00EC06
Credits
5 op
Teaching language
- English
Objective
You know the meaning of big data and how to use it in data driven decision-making.
You understand how to manage large data sets.
You learn the principles of data visualization.
Content
What is big data?
What is data analytics?
How to visualize essential findings in effective ways?
Enrollment
08.04.2024 - 21.04.2024
Timing
02.09.2024 - 20.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Degree programmes
- Degree Programme in Information Technology
Teachers
- Ulisses Moliterno de Camargo
Teacher in charge
Matti Koivisto
Groups
-
ITMI21SPInformation technology, full-time studies
Objective
You know the meaning of big data and how to use it in data driven decision-making.
You understand how to manage large data sets.
You learn the principles of data visualization.
Content
What is big data?
What is data analytics?
How to visualize essential findings in effective ways?
Opiskelumateriaali
The study material used in the course is in its entirety in the Learn learning environment.
In addition, the study course uses software related to data management and visualization.
Yksilölliset oppimisväylät
The course consists of contact and online teaching and exercises performed in the Learn learning environment.
TKI ja työelämäyhteistyö
The course does not include working life cooperation.
Tentit ja muut määräajat
There is no exam in the course.
Further information
The aim of the study course is for the student to gain basic knowledge of big data and visualization.
Evaluation scale
1-5
Assessment methods and criteria
The evaluation of the course is based on the points of the exercises.
Further details are described on the study course's Learn environment.
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
1 op
Mode of delivery
80 % Contact teaching, 20 % Distance learning
Unit
Department of Information Technology
Campus
Mikkeli Campus
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Degree Programme in Information Technology
Teachers
- Jukka-Pekka Skön
Teacher in charge
Jukka-Pekka Skön
Groups
-
ITMI20SPInformation technology, full-time studies
Objective
You know the meaning of big data and how to use it in data driven decision-making.
You understand how to manage large data sets.
You learn the principles of data visualization.
Content
What is big data?
What is data analytics?
How to visualize essential findings in effective ways?
Opiskelumateriaali
The study material used in the course is in its entirety in the Learn learning environment.
In addition, the study course uses software related to data management and visualization.
Yksilölliset oppimisväylät
The course consists of contact and online teaching and exercises performed in the Learn learning environment.
TKI ja työelämäyhteistyö
The course does not include working life cooperation.
Tentit ja muut määräajat
There is no exam in the course.
Further information
The aim of the study course is for the student to gain basic knowledge of big data and visualization.
Assessment methods and criteria
The evaluation of the course is based on the points of the exercises.
Further details are described on the study course's Learn environment.