TU Wien:Information Visualization VO (Gschwandtner, Aigner, Miksch)
- Information Visualization UE (Gschwandtner) (TU Wien, 0 Resources)
- Information Visualization VO (Gschwandtner, Aigner, Miksch) (TU Wien, 12 Resources)
|Lecturers||Theresia Gschwandtner, Wolfgang Aigner,Silvia Miksch, Christian Bors, Davide Ceneda,Alessio Arleo, Victor Schetinger|
|replaces||Informationsvisualisierung VO (Miksch)|
|Department||Visual Computing and Human-Centered Technology|
|Links||tiss:188305 , Mattermost-Channel|
You learn methods and techniques on how to visualize complex data sets (multivariate data, time-oriented data, geospatial, text and document data). In addition, you will gain knowledge about evaluation of visualization methods. At the end of the course, you will get a short detour into visual analytics.
WS19: There are 10 lectures (excl. preliminary session) held by different lecturers. The are no multiple-choice tests anymore, only slides with examples to the according theoretical concepts.
WS18: There are 10 lectures (excl. preliminary session) held by different lecturers. The are weekly multiple-choice tests (8 in total) about the content of last lecture. Tests are available online on TUWEL. Tests were available at 16:15 and you have 7 minutes time for each test. You can do the test anywhere. No points deduction for incorrect answers. During the semester, you can miss 2 tests which can be redone at the end of the semester.
SS13: There are 10 lectures held by two different lecturers. At the beginning of the lecture, there was always a multiple-choice test (5 questions) on the lecture of previous week (slides, lecture, and mandatory readings). That means, in total there are 9 tests with each 5 questions (à 3 points)
WS19: 10 lectures with alternating lecturers, which were pretty good. This semester the lectures were held in English. Questions from students will be answered.
SS13: 10 lectures with two alternating lecturers
Older: All three lecturers are pretty good presenters. They refer to questions from students (which was not difficult since there were at max. 10 students in the room). The content is very interesting.
WS18: Weekly multiple-choice tests (in total 8 tests * 5 questions; each question 3 points), but no final exam.
SS13: The multiple-choice tests (see ‘Ablauf’), which is the result for the final grade. You can miss 3 tests, which can be redone at the subsequent lecture in parallel with the other test (you get a bit more time).
Older: The scheme is pretty much the same for each exam.
- Descriptions of concepts (you might need to name examples)
- A practical example - given problem statement, problem solution is requested…
- Visiting lectures (90 minutes/week) and
- reading the slides few times (maaaaaany slides)
WS19: Slides and other material on TUWEL.
The documents are available during the whole semester:
- Slides ( Making own notes is quite useful, because the slides are extensive )
- Mandatory literature (in English); text extracts of books, detailed description of topics which are presented during the lecture. Reading all of them takes much time, therefore it is recommended to visit the lectures.
- Additional documents which are available at the secretariat - interesting, but not really necessary in order to succeed the course.
Making own notes during the lecture is very useful in regards to the exam. Not everything is mentioned in the slides and also, there are maaaaaany slides
SS14: There was no exam at the end, only multiple-choice tests during the semester. Therefore, you need to be present at the beginning of each lecture for the test. The test can be succeeded if you were at the lecture and 20-30 minutes of reading the slides.
Verbesserungsvorschläge / Kritik
AttachmentsAdd new attachment
- ws18-part-1-of-9-introduction.zip (details)
- ws18-part-2-of-9-perception & cognition + visual encoding principles.zip (details)
- ws18-part-3-of-9-multivariate data visualization.zip (details)
- ws18-part-4-of-9-time-oriented data visualization.zip (details)
- ws18-part-5-of-9-geospation, text & document data visualization.zip (details)
- ws18-part-7-of-9-hierarchy & network data visualization.zip (details)
- ws18-part-8-of-9-interaction, distortion & multiple-view methods.zip (details)
- ws18-part-9-of-9-human-centered visualization design & evaluation.zip (details)