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Computational geometry

General data

Course ID: 1000-2M00GO
Erasmus code / ISCED: 11.303 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title: Computational geometry
Name in Polish: Geometria obliczeniowa
Organizational unit: Faculty of Mathematics, Informatics, and Mechanics
Course groups: (in Polish) Przedmioty obieralne na studiach drugiego stopnia na kierunku bioinformatyka
Elective courses for Computer Science
ECTS credit allocation (and other scores): 6.00 Basic information on ECTS credits allocation principles:
  • the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS;
  • the student’s weekly hourly workload is 45 h;
  • 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes;
  • weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS;
  • work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load.

view allocation of credits
Language: English
Type of course:

elective monographs

Short description:

Analysis of selected problems of computational geometry and methods which solve them (sweep line, divide and conquer, prune and search, duality etc.). Theory and applications.

Full description:

1.Basic geometrical facts.

2.Polygons, cuttings and triangulations.

3.Art gallery problem, visibility graph.

4.Geometrical data structures.

5.Voronoi diagrams and skeletons.

6.Point location in R^2.

7.Dual space, polar sort in R^2.

8. Stabbing problem in R^2 and R^3, Davenport-Schinzel sequences.

9.Linear programming in R^2.

10. Robot motion planning, Minkowski sum.

11. Parallel algorithms.

12. Randomized algorithms.

13. Approximation algorithms.

Bibliography:

1. F.P.Preparata, M.I.Shamos, "Computational Geometry. An Introduction"

2.J.O'Rourke, "Computational geometry in C"

3.M.de Berg, M. van Kreveld, M.Overmars, O.Schwarzkopf, "Computational Geometry. Algorithms and Applications"

4.Web page: http://www.mimuw.edu.pl/~kowaluk

Learning outcomes:

Knowledge

Students:

1. have a knowledge of fundamental branches of mathematics (geometry, combinatorics,

graph theory) that are necessary to study discussed informatics problems (K_W01).

2. have a good understanding of role and meaning of data structures used while solving

the problems (K_W02).

3. are aware of problems, know methods and instruments occuring in theoretic

and practical considerations (K_W03).

Skills

Students:

1. have ability to construct mathematic reasoning (K_U01).

2. are able to express computational problems in the language of mathematics (K_U02).

3. have ability to design algorithms using known methods (K_U04).

Competences

Students:

1. are aware of limitations of their own knowledge and understand the necessity

of further education, including studying other science branches (K_K01).

2. know how to formulate questions that serve self-understanding

of the given thema (in particular, in contact with non-IT specialist) or finding

missing elements of reasoning (K_K02).

3. understand the necessity of regular reading scientific and popular

journals in order to broaden and deepen their knowledge.

Assessment methods and assessment criteria:

Class activity. Test exam.

Classes in period "Winter semester 2023/24" (past)

Time span: 2023-10-01 - 2024-01-28
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Mirosław Kowaluk
Group instructors: Mirosław Kowaluk
Students list: (inaccessible to you)
Examination: Examination

Classes in period "Winter semester 2024/25" (future)

Time span: 2024-10-01 - 2025-01-26
Selected timetable range:
Navigate to timetable
Type of class:
Classes, 30 hours more information
Lecture, 30 hours more information
Coordinators: Mirosław Kowaluk
Group instructors: Mirosław Kowaluk
Students list: (inaccessible to you)
Examination: Examination
Course descriptions are protected by copyright.
Copyright by University of Warsaw.
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00-927 Warszawa
tel: +48 22 55 20 000 https://uw.edu.pl/
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