BD-2-004 (0) - Visual Analytics

• Big data analytics 2016 - Big data analytics
• Big data analytics 2017 - Big data analytics
• Big data analytics 2018 - Big data analytics
• Big data analytics 2019 - Big data analytics
• Big data analytics 2020 - Big data analytics
• Big data analytics 2021 - Big data analytics - specialised professional studies

2 (2021-10-25 to 2021-12-31)

English

Compulsory

Second

1

5 cr

Aim of this course is to equip students with
the
background knowledge to create visual
presentations that effectively support human
cognition by transforming raw data into
actionable insights & knowledge.

By the end of this course, students should
understand the main principles of good data
visualization and be able to apply them
effectively. Students are also expected to
identify, differentiate, and create the most
common chart types, as well as justify their
visualization choices.

This course focuses on the basic principles of
Data visualization, incorporating elements of
Interface and Interaction design. The course
will teach students to design effective and
user-centric visualization and information
systems. Covered topics will include: Visual
Perception, Data types, Chart types, basics of
interaction & dash boarding, and geospatial
visualizations. This course focuses mainly on
the production of graphical material.

Hans Rosling,
https://www.ted.com/talks/hans_rosling_shows_t External link
he
_best_stats_you_ve_ever_seen#t-1171606

Juuso Koponen, Jonatan Hildén, Data
visualization handbook,
Aalto ARTS Books (2019)

Tamara Munzner, Visualization Analysis and
Design, CRC
Press (2014)

Alberto Cairo, The functional art : an
introduction to
information graphics and visualization, New
Riders cop.
(2013)

Colin Ware, Information visualization :
perception for
design, Morgan Kaufmann (2013)

Participation in tuition

Assignment 1: Critique and improve
Students need to critique a ?bad? chart and
create a new version, which should also
incorporate at least one new data set to
provide
more context to the original data.

Assignment 2: Final assignment
The final assignment will be similar to last
year?s, but will focus more on the
design side. Students should follow Munzner?s
framework when creating their
assignment and need to convincingly explain
their (design) choices and decisions.

• Scherbakov-Parland Andrej
• Westerlund Magnus
• Becker Sandra

Westerlund Magnus

https://arcada.itslearning.com/ External link

No limit (46 students enrolled)

12 months after course has ended

2021-10-11 to 2021-11-07