186.141 Information 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.

2023S, VO, 2.0h, 3.0EC
TUWELLectureTube

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • LectureTube course
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to describe the theoretical concepts applied in information visualization and presented in the lecture (e.g., visualization of multimdimensional data, visualization of multivariate network data). 

Subject of course

Information visualization is "the use of computer-supported, interactive, visual representations of abstract data to amplify cognition". The participants shall get acquainted to the concepts and techniques of information visualization. A short general introduction to visualization is followed by presentations of current research results in the field. The topics include: 

  • Data & Visual Encodings
  • Visual & Perceptual Principles
  • Multivariate & High-Dimensional Data Visualization
  • Multivariate Network Visualization 
  • Scalable Visualization for Big Data
  • Explainable AI
  • Applications of visualization, e.g., for biology or engineering

There is an exercise accompanying the lecture. 

Didactical Approach: With slides, an introduction to information visualization is given. (International) colleagues give guest lectures concerning current special topics. 

All lecture materials can be found on TUWEL. Lectures take place Thursdays 3 p.m. (c.t.)

Teaching methods

Lectures with slides.

Mode of examination

Written and oral

Additional information

ECTS Breakdown: 3 ECTS = 75 Stunden

  • Vorlesung: 30 Stunden
  • Gastvorträge: 20 Stunden
  • Prüfungsvorbereitung: 25 Stunden

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu15:00 - 17:0009.03.2023 - 29.06.2023FAV Hörsaal 1 Helmut Veith - INF (LIVE)Lecture
Thu15:00 - 17:0023.03.2023Seminarraum FAV 05 (Seminarraum 186) (LIVE)Lecture
Wed10:00 - 12:0031.05.2023Seminarraum FAV 05 (Seminarraum 186) (LIVE)Lecture
Thu15:00 - 17:0028.09.2023FAV Hörsaal 1 Helmut Veith - INF Written exam - 2. date
Information Visualization - Single appointments
DayDateTimeLocationDescription
Thu09.03.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu16.03.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu23.03.202315:00 - 17:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu30.03.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu20.04.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu27.04.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu04.05.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu11.05.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu25.05.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Wed31.05.202310:00 - 12:00Seminarraum FAV 05 (Seminarraum 186) Lecture
Thu01.06.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu15.06.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu22.06.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu29.06.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Lecture
Thu28.09.202315:00 - 17:00FAV Hörsaal 1 Helmut Veith - INF Written exam - 2. date

Examination modalities

After the introductory part, there will be a 15 minutes open book exam in TUWEL (30 points). At the end of the lecture, there will be a written exam. FBoth exams have to be positive (i.e., > 50% of the points) for a positive grade. 

Course registration

Begin End Deregistration end
06.02.2023 23:55 29.03.2023 23:55 30.03.2023 23:55

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Mandatory2. Semester
066 926 Business Informatics Mandatory elective
066 932 Visual Computing Mandatory elective
066 933 Information & Knowledge Management Mandatory
066 935 Media and Human-Centered Computing Mandatory1. Semester

Literature

No lecture notes are available.

Accompanying courses

Language

English