In this course students learn about the representation (abstraction) and presentation of data in terms of different visualisation techniques supporting the exploratory analysis for scientific discovery as well as the design of tools for the presentation of large datasets. The theory further covers specific elements of human perception and colour theory and we discuss different design principles and interaction techniques for human-in-the-loop data exploration underlined by various case studies. The theory is applied and further deepened in a group assignment where interactive visualisations are designed and implemented for different rich datasets.

Lectures: Thursday, 10:00-12:00, D.2.14
Exercises: Group 1 - Thursday, 13:00-15:00, E.1.05, Group 2 - Thursday, 15:00-17:00, E.1.05

Please note that the order of the lecture and exercise slots as well as the location of the exercise slots might change for some weeks.

Lecture Schedule

Lecture 1:  Introduction

Lecture 2:  Human Perception and Colour Theory

Lecture 3:  Data Representation

Lecture 4:  Analysis and Validation

Lecture 5:  Data Presentation

Lecture 6:  Data Processing and Visualisation Toolkits

Lecture 7:  Design Guidelines and Principles

Lecture 8:  Visualisation Techniques

Lecture 9:  View Manipulation and Reduction

Lecture 10:  Interaction

Lecture 11:  Dashboards

Lecture 12:  Case Studies and Course Review

Lecture 13: Final Project Presentations