Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

You know the most important data structures and algorithms used in geometric processing. You can design and analyze basic geometric algorithms. You have an understanding of computational hardness for geometric problems, and are familiar with several tools used in geometric approximation algorithms.

Credits: 5

Schedule: 11.01.2023 - 14.04.2023

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Sándor Kisfaludi-Bak

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The main concepts and tools used in computational geometry: data structures, exact and approximation algorithms, computational hardness. Topics include: arrangements and duality, convex hulls, low-dimensional linear programming, orthogonal range searching, plane sweep, Voronoi diagrams and Delaunay triangulations, quadtrees, spanners, clustering, range spaces, and VC dimension.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    Points earned from weekly problem sets determine the course grade.

Workload
  • valid for whole curriculum period:

    Lectures. Teaching in small groups. Independent work. 

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Workload over 12 weeks: each week consists of lecture (2h), Q&A session reviewing the weekly problem set (2h), as well as independent work (7h) in solving the weekly problem set. Total 135h. 

    Teaching Language : English

    Teaching Period : 2022-2023 Spring III - IV
    2023-2024 Spring III - IV