193.143 Design and Evaluation of Visualisations
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, UE, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: UE Exercise
  • Format: Presence

Learning outcomes

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

  1. Fundamental Understanding of Information Visualization:

    • Provide a clear definition of Information Visualization.
    • Explain the situations where visualization is the most suitable solution for a given problem.
    • Recognize and categorize different uses of visualization methods.
  2. Proficiency in Data Abstraction and Types:

    • Define data abstraction and articulate its primary purpose.
    • Recall and categorize data set types and attribute types.
    • Classify datasets based on their structural characteristics.
  3. Competence in Graph Selection and Data Transformation:

    • Identify graph types applicable to tabular data.
    • Choose the appropriate graph types for specific datasets and problems.
    • Understand the significance of data transformation in visualization and select suitable methods.
  4. Mastery of Marks, Channels, and Principles:

    • Define marks and channels, discerning their relative effectiveness.
    • Describe and apply the expressiveness and effectiveness principles in visualization.
    • Evaluate the quality of graphs based on these principles.
  5. Critical Analysis and Description of Graphs:

    • Identify and critically assess contextual components of a graph and their utility.
    • Critique graphs based on visual encoding criteria used in their creation.
    • Demonstrate the ability to describe graphs in terms of marks, channels, and visual encoding rules.

Subject of course

  • Block 1: Focus on Data

    • Describing and abstracting data.
    • Understanding the types of visual representations needed or possible.
  • Block 2: Fundamental Graphs and Data Transformation

    • Exploring basic graphs and their effectiveness.
    • Understanding how data transformation enhances visualization.
  • Block 3: Visualization Vocabulary

    • Introduction to visualization elements.
    • Description of basic graphical components and strategies for transforming data into visualizations.

Teaching methods

  • Topic-relevant lectures 
  • Regular in-class meetings for content and assignment reflection 
  • Reading, analysis and critical discussion of scientific texts in the area of designing and evaluating visualisations
  • 2 assignments to design and evaluate a visualisation

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue13:00 - 15:0016.04.2024 - 25.06.2024EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations
Design and Evaluation of Visualisations - Single appointments
DayDateTimeLocationDescription
Tue16.04.202413:00 - 15:00EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations
Tue28.05.202413:00 - 15:00EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations
Tue04.06.202413:00 - 15:00EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations
Tue11.06.202413:00 - 15:00EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations
Tue25.06.202413:00 - 15:00EI 9 Hlawka HS - ETIT UE Design and Evaluation of Visualisations

Examination modalities

 

  • Reading reflections (25%): For selected topics covered in the course, a paper will be given to the students. Students are supposed to read the papers and write a short reflection (2-3 paragraphs, not more than 500 words)
  • Two Assignments (65%): Design and Evaluation of a Visualisatuion 
  • Class participation (10%): Mini Quizes on Content

Course registration

Begin End Deregistration end
22.01.2024 09:00 15.04.2024 10:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory elective

Literature

No lecture notes are available.

Language

English