Bachelor
Informatica
Informatiekunde
Kunstmatige intelligentie
Master
Computing Science
Game&Media Technology
Artifical Intelligence
Business Informatics

Website: | website containing additional information | |||||||||||||||||||||||||

Course code: | INFOGDR | |||||||||||||||||||||||||

Credits: | 7.5 ECTS (=5.25 old credit points) | |||||||||||||||||||||||||

Period: | period 1 (week 36 through 45, i.e., 8-9-2005 through 11-11-2005; retake week 1)
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Timeslot: | D | |||||||||||||||||||||||||

Participants: | up till now 8 subscriptions | |||||||||||||||||||||||||

Schedule: | Dit is een oud rooster!
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Contents: | In many applications, one wants to draw graphs or networks on the plane, e.g.,
when displaying graphs on a computer screen or when realizing chip layouts or
electronic circuits. Different applications pose different requirements from
such a diagram: sometimes we want to be a diagram to be compact, and sometimes
we want that the diagram is pleasant to the human eye: the latter requirement
seems hard to formalize. There are also different types of drawings: e.g.,
edges may be represented by curves, straight lines, or lines with angles.
It also makes a difference whether the graph is planar (can be drawn without
crossings) or not. In this seminar, we look to a number of algorithms for drawing graphs and study aspects of their quality. | |||||||||||||||||||||||||

Literature: | There is no obligatory book for the course. Recommended books are:
- Planar Graph Drawing. Takao Nishizeki and Md. Saimur Rahman. Lecture Notes Series on Computing - vol 12, 2004.
- Graph Drawing: Algorithms for the Visualization of Graphs Giuseppe Di Battista, Peter Eades, Roberto Tamassia, Ionannis G. Tollis Prentice Hall, 1998, ISBN 0133016153
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Course form: | Seminar. The book and papers will be studied together, and students will give 2 lectures about chapters of the book or studied papers. Students write a survey on the topic of the second lecture. | |||||||||||||||||||||||||

Exam form: | There is no written exam. The end note is: 30 percent: presentation 1; 30 percent: presentation 2; 30 percent: survey; 10 percent: participation etc. Participation must be sufficient. All three other notes should be at least 5; one task can be done as 2nd chance. | |||||||||||||||||||||||||

Minimum effort to qualify for 2nd chance exam: | Active participation; presence during the sessions; note of at least 5 for two out of the three tasks. The 2nd chance exam means that one task (lecture 1, lecture 2, survey) can be done again. |