Data Visualization and Data Storytelling (5cr)

Code: MS00CO82-3002

General information

Enrollment: 02.12.2023 - 31.12.2023; Registration for the implementation has ended.

Timing: 01.01.2024 - 15.05.2024; Implementation has ended.

Number of ECTS credits allocated: 5 cr

Local portion: 0 cr

Virtual portion: 5 cr

Mode of delivery: Distance learning

Unit: Arts Academy

Teaching languages: English

Seats: 0 - 30

Degree programmes: Joint Elective Studies

Teachers: Taru Lehtinen

Teacher in charge: Taru Lehtinen

Course: MS00CO82

Realization has 8 reservations. Total duration of reservations is 20 h 0 min.

Time	Topic	Location
Tue 02.04.2024 time 12:00 - 14:00 (2 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Thu 04.04.2024 time 12:00 - 14:00 (2 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Tue 09.04.2024 time 10:00 - 12:00 (2 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Thu 11.04.2024 time 12:00 - 14:00 (2 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Tue 16.04.2024 time 12:00 - 15:00 (3 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Tue 23.04.2024 time 12:00 - 15:00 (3 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Thu 25.04.2024 time 09:00 - 12:00 (3 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169
Tue 07.05.2024 time 09:00 - 12:00 (3 h 0 min)	Data Visualization and Data Storytelling MS00CO82-3002	https://turkuamk.zoom.us/j/61715584169

Changes to reservations may be possible.

Evaluation scale

H-5

Content scheduling

Lectures will be hold on ZOOM: https://turkuamk.zoom.us/j/61715584169

Schedule:
thu 14.03.2024 14:00-16:00
tue 02.04.2024 12:00-14:00
thu 04.04.2024 12:00-14:00
tue 09.04.2024 10:00-12:00
thu 11.04.2024 12:00-14:00
tue 16.04.2024 12:00-15:00
tue 23.04.2024 12:00-15:00
thu 25.04.2024 09:00-12:00
tue 7.5.2024 9:00-12:00

Objective

Students will be able to

- understands the means and goals of data visualization
- build visualizations from a variety of data
- use images, graphs, animations and videos in a presentation
- combine multiple visualizations to make a complete story/presentation

Content

1. Introduction - why this is important
2. Planning a presentation
3. Infographics and data visualization
4. Videos & animation in presentations