Difference between revisions of "TU Wien:Informationsvisualisierung VO (Matkovic)/Exam 2020-07-29"

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Latest revision as of 12:39, 30 July 2020

Group A[edit]

Short Questions[edit]

 - 3 common infoVis tasks
 - how many attributes does the pixel bar allow you to see
 - what is force-directed graph ? 
 - there was a biplot conserving the similarities. They gave us two attributes and asked if they are correlated or not. 
 - there was parallel coordinates graoh and asked what attributes are co-linear .
 - what is Flammery's compensation. Why do we need it. 
 - reasons why we need image registration.

Long Questions[edit]

 - two main challenges of scalability and how to overcome these challenges. Describe the techniques.
 - problems with 3D network graph when we increase the number of the nodes. What techniques should we use to solve this problem.
 - high dimensional data: you have a dataset containing a number of countries as rows and number of indicators (life expectancy , ... ) as columns. The task is to design a graph which enables you to easily compare countries and continents. You are also supposed to say how you get there and what techniques to use.


Group B[edit]

Short Questions[edit]

 - Name 3 complex data types (imo family of curves, surfaces, set-type attribute)
 - name 3 1d visualizations
 - which of the histograms represents a given scatterplot
 - Name 3 focus+context visualization methods
 - advantages/disadvantages of alpha blending and random sampling
 - What is the lie factor
 - When are non-linear dimension reduction algorithms superior to linear dimension reduction algorithms? Name at least one example (for non-linear).

Long Questions[edit]

 - Describe the steps of the InfoVis reference model
 - Describe hybrid simulation steering
 - Describe Combined Multiple Views