MM512: Curves and Surfaces
Internal Course Code
Comment
Entry requirements
Academic preconditions
The course builds on the knowledge acquired in the courses MM536 (Calculus for Mathematics), or equivalent.
Students taking the course are expected to be familiar with: systems of linear equations, matrices, determinants, vector spaces, scalar product and orthogonality, linear transformations, eigenvectors and eigenvalues, polynomials, the concept of a function, real numbers, differentiation and integration of functions of one and several variables, vector calculus.
Course introduction
The course will introduce analytic techniques to deal with parameterized curves and surfaces in three dimensions and give the students methods to visualize the geometric results obtained.The course gives the prerequisites for more advanced courses in geometry.
The course is of high multidisciplinary value and gives an academic basis for a Bachelor Project in several core areas of Natural Sciences.Expected learning outcome
The learning objectives of the course are that the student demonstrates the ability to:
- reproduce definitions and results, together with their proofs, in the geometry of plane- and space-curves and of surfaces in space, within the scope of the course's syllabus
- apply these results to examples
- formulate and present definitions, proofs and computations in a mathematically rigorous way
Content
The following main topics are contained in the course:
- Curves in space: arc-length curvature and torsion, the fundamental theorem
- Surfaces in space: regular patches, the tangent space, graphs, surfaces of revolution, normal curvature, geodesic curvature, the first and second fundamental forms, principal curvatures, Gaussian curvature, mean curvature, Guass’ Theorema Egregium.
- Geodesics on surfaces and the equations describing them.
Literature
Examination regulations
Exam element a)
Timing
Tests
Mandatory assignments
EKA
Assessment
Grading
Identification
Language
Examination aids
ECTS value
Exam element b)
Timing
Tests
Take-home exam at the end of the course
EKA
Assessment
Grading
Identification
Language
Duration
Examination aids
ECTS value
Additional information
Indicative number of lessons
Teaching Method
- preparation of exercises in study groups
- preparation of projects
- contributing to online learning activities related to the course
Teacher responsible
Additional teachers
| Name | Department | City | |
|---|---|---|---|
| Steffen Schmidt | stschmidt@imada.sdu.dk | Institut for Matematik og Datalogi |