Data Visualization

Code

IT-VIZ1

Version

1.0

Offered by

ICT Engineering

ECTS

Prerequisites

Students taking the course are expected to have basic programming skills (e.g. IT-PRO1 or IT-PRG1 and IT-WEB1).

Main purpose

This course provides students with an introduction to the fundamentals of data visualization.

Students will learn how to transform data into graphical representations, explore data relationships, and visually communicate insights using D3.js.

Knowledge

After completing this course, it is expected that the student will be able to:
• Understand theoretical concepts of data visualization, including:
• models for design
• systematic approaches to implementation.
• Describe different data types and their implications for the chosen visualization.
• Describe various visualization types
• Reflect on key principles of data-related visual communication.

Skills

After completing this course, it is expected that the student will be able to:
• Use valid data preprocessing techniques.
• Apply appropriate visualization methods based on the data type and requirements.
• Implement custom visualizations using D3.js.

Competences

After completing this course, it is expected that the student will be able to:
• Utilize visualization to analyze datasets.
• Develop visualization strategies for presenting data insights.
• Evaluate visualization projects in terms of design, communicative impact, and implementation.

Topics

Teaching methods and study activities

This course is organized into 12 sessions.

Each course begins with a theoretical introduction to different aspects of data visualization. This will lead to a hands-on workshop related to the introduced theory.

A number of hand-ins based on the lesson content will be part of the final exam.

Resources

Evaluation

Examination

Exam prerequisites:

None.

Exam type:
20-minute oral examination based on the final exam project, which must be handed in before the deadline. The final project is a comprehensive visualization production covering a self-selected area of interest.
Assessment is based on the student demonstrating the expected knowledge, skills and competences through both the final project and the oral defence.

Tools allowed:
All tools and resources introduced throughout the course.

Re-exam:
Conducted as the ordinary exam.

Grading criteria

Grading based on the Danish 7-point scale.

Additional information

Responsible

Rachel Stokholm (rsto=

Valid from

01-08-2026 00:00