PA093 Computational Geometry Project

Faculty of Informatics
Autumn 2023
Extent and Intensity
0/1/1. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Taught in person.
doc. RNDr. Barbora Kozlíková, Ph.D. (lecturer)
Ing. Matěj Lang (assistant)
Guaranteed by
doc. RNDr. Barbora Kozlíková, Ph.D.
Department of Visual Computing – Faculty of Informatics
Supplier department: Department of Visual Computing – Faculty of Informatics
Thu 12. 10. to Thu 7. 12. each odd Thursday 12:00–15:50 B311
It is recommended to concurrently attend or finish the M7130 course before attending this course. Moreover, the student should have the knowledge of C++ or Java programming language.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
there are 34 fields of study the course is directly associated with, display
Course objectives
The project is focused on solving the tasks from computational geometry area. The aim is programming and visualization of classical 2D and 3D algorithms. Students gain practical experience in implementation and integration of complex algorithms from the field of computer graphics.
Learning outcomes
After passing this course, the student will be able to: - compare computational geometry algorithms with respect to their complexity, - choose the most appropriate computational geometry algorithms for given problems, according to their complexity and input requirements, - implement computational geometry algorithms described by a pseudocode.
  • The purpose of this seminar is to discuss, extend and elaborate the subject area presented in M7130 , especially with respect to its practical applications. Some selected geometric algorithms will be implemented during the course. The aim of the first task is to demonstrate the problems regarding programming of computational geometry algorithms. Then an implementation of an essential and substantially more complicated advanced algorithm follows. Students gain practical experience with the implementation of advanced computational geometry applications.
  • PREPARATA, Franco P. and Michael Ian SHAMOS. Computational geometry : an introduction. New York: Springer-Verlag. 398 s. ISBN 0387961313. 1985. info
Teaching methods
Lectures, consultations, and related individual work.
Assessment methods
Completion of an individual project is required.
Language of instruction
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Autumn 2002, Autumn 2003, Autumn 2004, Autumn 2005, Autumn 2006, Autumn 2007, Autumn 2008, Autumn 2009, Autumn 2010, Autumn 2011, Autumn 2012, Autumn 2013, Autumn 2014, Autumn 2015, Autumn 2016, Autumn 2017, Autumn 2018, Autumn 2019, Autumn 2020, Autumn 2021, Autumn 2022.
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