Course Identification

Discrete Differential Geometry and Applications
20184092

Lecturers and Teaching Assistants

Prof. Yaron Lipman
N/A

Course Schedule and Location

2018
Second Semester
Wednesday, 09:15 - 12:30, Goldsmith, room 108
25/04/2018

Field of Study, Course Type and Credit Points

Mathematics and Computer Science: Lecture; Elective; 2.00 points

Comments

N/A

Prerequisites

No

Restrictions

20

Language of Instruction

English

Attendance and participation

Required in at least 80% of the lectures

Grade Type

Pass / Fail

Grade Breakdown (in %)

100%

Evaluation Type

Examination

Scheduled date 1

25/07/2018
Ziskind, Rm 1
1000-1300
N/A

Scheduled date 2

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

This course will introduce basics concepts in discrete differential geometry. The course will loosely follow the course in: http://geometry.cs.cmu.edu/ddgshortcourse/

Discrete differential geometry (DDG) is a new emerging field at the intersection of applied math and computer science. The goal of DDG is to develop and study discrete geometric structures, e.g., polyhedrons from a "mimetic" point of view. That is, rather than focusing on local approximation errors to the differentiable structures, defining their discrete analogs directly on the discrete structures. This point of view led to construction of robust and useful algorithms to handle 3D geometry in a computer. 
 

Learning Outcomes

Upon successful completion of this course the students will be able to:

  1. Learn the basic notions of discrete and differentiable geometry. They will both learn their theoretical construction and derivation as well as implement basic algorithms derived from the theory. 

Reading List

N/A

Website

N/A