\chapter{Conclusion}

A lot of different visualization methods, algorithm, techniques, tips and tricks during the entire course where observed. With great enthusiasm this course was participated. \\

Bellow are some conclusions and recommendations about visualization and this course. \\

\section{Visualization}

When starting this course it was unknown what visualization was truly about. Its not about drawing nice pictures, but the entire process from getting the measured data up until the rendering process; the entire visualization pipeline. \\

In essence, visualization itself is a field in which many specializations of other fields are used. Physics, mathematics, computer science, computer graphics and probably many more can be thought of. \\

A lot of research is still being done. The translation from 3D to 2D brings difficulties. Some information is hard to visualize in two and/or three dimensions. The bigger glyphs get, the more they overlap. If you use blending, some details are lost but some new information may be gained. These examples are only a two of many more tradeoffs when visualizing large datasets. \\

\section{The course}

The visualization course encourages to explore the given assignments in different directions. It is stated that visualization is much about designing creative solutions to a given problem to gain different insights. And this turned out to be a positive approach for some of the assignments. \\

It turned out to be a positive approach to \underline{some} of the assignments. For some other problems we needed the insight of an expert. It was very useful to be able to send an e-mail for some of the troubles that arisen during the implementation. \\

The two practical hours after the theoretical part were a bit to crowded for the teacher however. He was unable to handle all questions from the students. This was a bit of a downside. Because of this feedback on the progress and problems were not always available during the hour. \\
