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Course Description

This CS-532 is our newly developed course on computational geometry and its applications. It is introduced to provide interdiciplinary education to graduate and senior undergraduate students in and to bridge interdiciplinary educational gap in computer science, applied mathematics, and computational science and engineering. This course is designed to help improve students' algorithmic and analytical maturity, to show studends its interesting algorithmic applications. It is also designed for providing research topics for interested graduate students. Computational geometry is the field of theoretical computer science devoted to the design, analysis, and implementation of algorithms and data structures to solve geometric problems. These problems arise in several different areas, including computer graphics, robotics, databases, data mining, parallel computing, statistics, and pure math. Their solutions combine traditional algorithmic techniques with beautiful results from combinatorics, geometry, and other mathematical areas.

Why Computational Geometry?

In various interdiciplinary applications such as scientific computing, computer vision, scientific visualization, computational biology, computer graphics, robotics, network design, and information organization, we need algorithms to solve various geometric problems and design efficient geometric data structures. This course will make our students better prepared for for algorithm design, analysis, other interdiciplinary courses.

Prerequisites

CAS CS 330 or equivalent

We will try to make this course as self-contained as possible.

Lectures

TR 12:30- - 2:00 PM in room MCS 137

Instructor

Professor Shang-Hua Teng

Email: steng at cs dot bu dot edu
Office: MCS-276
Office Hours: Any time but by appointment
Office Phone: 358-2596

Texts

Handouts of Recent Research Papers

" Computational Geometry: Algorithms and Applications " Second Edition by Mark de Berg, Marc van Kreveld, Mark Overmars and Otfried Schwarzkopf

Useful links