Study Guide

Learning outcomes

The course provides the theory and practice behind data aware design, and demonstrates why leveraging big data is such an important skill for the modern designer.
In this course, students learn
– What is data and how is data created?
– The different levels of data (macro, meso and micro, societal, environmental and economic)
– The current barriers for designers in using data (cultural, operational, technical)
– How real companies use data
– How to design a data driven business ecosystem (team design brief)
– Visualization of data

Contents

The course (5 ECTS) introduces the fundamentals of data visualization and information design. Students learn how to search for, organize, and transform data into clear and visually understandable formats using appropriate tools and methods. The course emphasizes the principles of effective visual communication, including how human perception and cognition influence design choices. Students develop their skills through practical exercises, progressing from data exploration to finalized visualizations.

Assessment criteria

Evaluation is made on a number of criteria listed below. Exceptions will be made for extreme circumstances where students are ill or absent for a valid reason. Long term absence from the course needs to be agreed beforehand with the course teacher. All students need to compete all learning diaries and in class exercises regardless of absence. Class materials are provided every week when available for reference.

Theory 3 ECTS
Workshop/project work 7 ECTS
75% in-class attendance required from total in-class hours

Datavisualization part:
Grading is on a scale from 1 to 5, and assessment is based on coursework, presentations, participation, and attendance.

Assessment scale

1-5

Failed (0)

Participated in the class hours less than 75%
Missing learning dairies and in-class exercises
Lack of good communication with course teacher
Individual contribution to team outcomes such as a prototypes, drawings and final presentations is low
Low motivation and interest during the course
Difficulty in working with others
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Datavisualization / Failing grade
A student will receive a failing grade if they do not meet the attendance requirement, fail to complete all course assignments within the given deadlines, or do not achieve the learning outcomes of the course.

Assessment criteria: level 1 (assessment scale 1–5)

Participated in the class hours minimum of 75% achieved
All learning dairies and in-class exercises completed
Individual contribution to team outcomes such as a prototypes, drawings and final presentations is clear and completed
Good motivation and interest during the course
Able to work with others
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Datavisualization / Grade 1:
The student demonstrates a basic understanding of the principles of information design and is able to evaluate information design products analytically. They are able to search for data, convert it into a visually understandable format, and present it in an appropriate way.

Assessment criteria: level 3 (assessment scale 1–5)

Participated in the class hours minimum of 75% achieved
Ability to contribute own time to tasks outside of class hours is clear and productive
Participates actively in all course milestones eg: kick-offs, in class exercises, design briefs and final presentations
All learning dairies and in-class exercises completed well and organised properly
Individual contribution to team outcomes such as a prototypes, drawings and final presentations is clear and completed and of good quality
Positive and engaged attitude during the course
Great team worker
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Datavisualization / Grade 3:
The student demonstrates a good understanding of the principles of information design and is able to evaluate information design products analytically. They are able to search for relevant data, transform it into a visually understandable and engaging format, and present it in an appropriate and meaningful way.

Assessment criteria: level 5 (assessment scale 1–5)

Participation in class hours is well above 75%. The student actively uses additional time for project work outside the class hours
Participates actively in all course milestones eg: kick-offs, in class exercises, design briefs and final presentations
Supports others and creates a positive atmosphere throughout the course
All learning dairies and in-class exercises completed well and organised properly including name, date, comments and images from class exercises
Individual contribution to team outcomes such as a prototypes, drawings and final presentations is clear, completed and of excellent quality
Very positive and engaged attitude during the entire course
Team leadership ability shown
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Datavisualization / Grade 5:
The student demonstrates a strong and confident understanding of the principles of information design and is able to evaluate information design products analytically. They are able to search for relevant data, transform it into a visually understandable and engaging format, and present it in an appropriate and professional manner. A minimum attendance rate of 75% is required.