193.020 Visualization
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 4.0h, 6.0EC
TUWEL

Properties

  • Semester hours: 4.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to...

  • understand the terms "information design," "information visualization," "scientific visualization," "visual analytics," and "visual data science" and their characteristics.
  • understand and apply the basics of human visual perception
  • organize and present different data types using text, tables, and graphical representations to convey information clearly and concisely.
  • assess the quality of visual representations, including their flaws and manipulative design.
  • describe theoretical concepts used in visualization.
  • evaluate different visualization methods, their characteristics, and their suitability for different contexts.
  • apply human-centered design and evaluation methods of visualizations.
  • design interactive visualizations using different reference models and taxonomies.
  • develop programs that load data, display it visually, and make it interactively explorable.

Subject of course

"Solving a problem simply means representing it so that the solution is obvious." [Simon, 1996]

Modern information systems generate and store enormous amounts of information and data. One of the biggest challenges of the emerging information age is to make these data sets efficiently usable. The human perceptual system is exceptionally powerful in processing visual stimuli. Therefore, information design and visualization are well suited for understanding data, exploring complex information spaces, or recognizing patterns and relationships in the data.

In this course, you will learn the principles, methods, and techniques of:

  • Information design
  • Visual analysis
  • Information visualization
  • Scientific visualization
  • Visual data science

To represent data and information in visual form so that:

  • Complex information structures become more graspable
  • The acquisition of new insights is facilitated
  • The acquisition of knowledge is enabled

In doing so, the primary goal is not to design "beautiful images" but to use visual and interactive methods to convey the information as effectively as possible and gain new insights.

In the exercise part, the theoretical concepts of visualization are to be put into practice utilizing various tasks (design and programming tasks)

Content:

  • Fundamentals of visualization:  General introduction with definition of terms
  • Historic background of visualization, Cognition, and perception / Gestalt laws of perception
  • Volume visualization
  • Basic techniques in information visualization
  • Basics of graphic and text design
  • Flow visualization
  • Visualization design and table visualization
  • Geographic visualization
  • Visualization and interaction techniques
  • Network visualization
  • Design methodology, taxonomies, models, and evaluation methods
  • Visual analytics and application areas
  • Visual data science and application areas

Teaching methods

The course content will be provided via TUWEL one week before the discussion unit in the form of materials (videos, slides, and articles). During the lecture unit, the topic will be discussed in more detail, and important aspects will be covered in depth. Students can ask questions for clarification and participate in small practical exercises during the lecture units.


Teaching methods:

  • Lectures on concepts, methods, and techniques
  • Provision of basic and advanced literature
  • Discussion of the pros and cons of the concepts, methods, and techniques of the literature
  • Linking to application examples
  • Practical application and testing of the concepts, methods, and techniques in the practical exercises

Assessment:

  • Mandatory submission of task 0 as a prerequisite for participation in the course
  • Programming exercises as group assignments
  • written exam at the end of the semester

Mode of examination

Immanent

Additional information

Additional information

You will find all the necessary information, such as dates and deadlines, and all materials for the LVA in the Tuwel course!

Prerequisite

You must submit assignment 0 in TUWEL at the beginning of the semester. This is a prerequisite for further participation in the LVA. If task 0 is not submitted without an excuse, the participant will be deregistered from the LVA.

Material

Lecture slides and other materials will be provided for each VO unit in TUWEL. There is mandatory reading as well as further voluntary reading for those interested

ECTS breakdown (in hours)

Introduction: 2
Lectures: 28
Readings: 8
Exam preparation: 28
Examination: 2

Assignment 0: 1
Design Assignments: 37
Implementation Assignments: 44
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Total: 150 h (= 6 ECTS)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 15:0006.03.2024 - 26.06.2024FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed13:00 - 15:0006.03.2024FAV Hörsaal 1 Helmut Veith - INF Introduction to the Lecture
Thu11:00 - 13:0007.03.2024 - 27.06.2024FAV Hörsaal 1 Helmut Veith - INF Lecture
Visualization - Single appointments
DayDateTimeLocationDescription
Wed06.03.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed06.03.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Introduction to the Lecture
Thu07.03.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed13.03.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu14.03.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed20.03.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu21.03.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed10.04.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu11.04.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed17.04.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu18.04.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed24.04.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu25.04.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu02.05.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed08.05.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed15.05.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu16.05.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed22.05.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu23.05.202411:00 - 13:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed29.05.202413:00 - 15:00FAV Hörsaal 1 Helmut Veith - INF Lecture

Examination modalities

  • Motivation letter ("Assignmet 0") - Prerequisite for continuing the course
  • Participation in a user study
  • Conducting design exercises
  • Implementing and submitting programming exercises
  • Presenting the exercises during submission interviews
  • Written examination of the theoretical content (lecture units and mandatory materials in TUWEL)

Course registration

Begin End Deregistration end
12.02.2024 00:00 21.03.2024 23:55 21.03.2024 23:55

Curricula

Study CodeObligationSemesterPrecon.Info
033 521 Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 526 Business Informatics Mandatory electiveSTEOP
Course requires the completion of the introductory and orientation phase
033 532 Media Informatics and Visual Computing Mandatory4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

The literature for the lecture will be provided via TUWEL.

Language

English