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Unit of study_

COMP4445: Computational Geometry

2024 unit information

In many areas of computer science- robotics, computer graphics, virtual reality, and geographic information systems are some examples- it is necessary to store, analyse, and create or manipulate spatial data. This course deals with the algorithmic aspects of these tasks: we study techniques and concepts needed for the design and analysis of geometric algorithms and data structures. Each technique and concept will be illustrated on the basis of a problem arising in one of the application areas mentioned above.

Unit details and rules

Managing faculty or University school:

Computer Science

Code COMP4445
Academic unit Computer Science
Credit points 6
Enrolment in a thesis unit. INFO4001 or INFO4911 or INFO4991 or INFO4992 or AMME4111 or BMET4111 or CHNG4811 or CIVL4022 or ELEC4712 or COMP4103 or SOFT4103 or DATA4103 or ISYS4103
Assumed knowledge:
Experience with data structures and algorithms as covered in (COMP2123 or COMP2823 or INFO1105 or INFO1905) and (COMP3027 or COMP3927)

At the completion of this unit, you should be able to:

  • LO1. Argue the correctness and efficiency of a proposed solution. Mainly in writing but also orally.
  • LO2. Demonstrate knowledge of fundamental algorithms for several problems, for example algorithms to compute convex hulls, triangulate polygons, low-dimensional linear programming and Voronoi diagrams, knowledge of fundamental general algorithmic design techniques, such as greedy, dynamic programming and divide-and-conquer.
  • LO3. Read, understand, analyze and modify a given algorithm. Ability to design algorithmic solutions for given geometric problems.
  • LO4. Attack theoretical and practical problems in various application domains.
  • LO5. Understand and apply important techniques and results in computational geometry.
  • LO6. Analyze the complexity of a given algorithm.
  • LO7. Demonstrate knowledge of fundamental geometric data structures, such as data structures for range searching, point location, and segment intersection. Demonstrate knowledge of fundamental general design techniques for data structures, such as multi-level trees, duality and divide-and-conquer.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 1 2023
Normal day Camperdown/Darlington, Sydney
Semester 1 2023
Normal day Remote

Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.