Big data and visualization (5 cr)
Code: IT00EC06-3002
General information
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
- 05.09.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 13.09.2024 13:00 - 16:00, Big data and visualization IT00EC06-3002
- 19.09.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 26.09.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 03.10.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 10.10.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 17.10.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 31.10.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 07.11.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 14.11.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 21.11.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 28.11.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 05.12.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
- 12.12.2024 08:30 - 11:30, Big data and visualization IT00EC06-3002
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.