MM831: Differential Equations II

The Study Board for Science

Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N310004102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Autumn
Level: Master

STADS ID (UVA): N310004101
ECTS value: 5

Date of Approval: 29-04-2025


Duration: 1 semester

Version: Approved - active

Comment

See Danish version.

Entry requirements

The course cannot be chosen by students, who has either followed og passed MM543, MM547 or MM531.

Academic preconditions

Students taking the course are expected to:

  • Know the concept of a
    function, real and complex numbers, differentiation and integration of
    functions of one and several variables, vector calculus, convergence of
    sequences, Newton’s method.
  • Be familiar with: systems of linear
    equations, matrices, determinants,  vector spaces, scalar product and
    orthogonality, linear transformations, eigenvectors and eigenvalues,
    diagonalization, polynomials, random variables, normal distribution
  • Have
    knowledge of how to implement algorithms as computer programs and
    compute numerical approximations to mathematical problems that don't
    allow a closed form solution.

As acquired in the courses MM536 (Calculus for Mathematics), MM533 (Mathematical and Numerical Analysis), MM538 (Algebra and Linear Algebra), MM507 (Differential equations) / first half of MM545 (Differential equations and geometry).

Course introduction

The purpose of the course is to analyse and solve ordinary differential equations by computational methods.

Expected learning outcome

The learning objectives of the course are that the student demonstrates the ability to:

  1. Construct, implement and analyse advanced numerical methods to compute (approximate) solutions to differential equations.
  2. Give an oral presentation on an advanced topic and answer supplementary questions on the course syllabus.

Content

The following main topics are contained in the course:

  1. Numerical methods: (embedded) Runge-Kutta methods and adaptivity.
  2. Stiffness, implicit methods, A-stability.
  3. Introduction to Ito-SDEs: Ito integral, Ito process, Ito formula.

Literature

See itslearning for syllabus lists and additional literature references.

Examination regulations

Exam element a)

Timing

January

Tests

Oral exam

EKA

N310004102

Assessment

Second examiner: Internal

Grading

7-point grading scale

Identification

Student Identification Card - Name

Language

Normally, the same as teaching language

Examination aids

To be announced during the course

ECTS value

5

Indicative number of lessons

42 hours per semester

Teaching Method

Planned lessons

Total number of planned lessons: 42

Hereof:

Common lessons in classroom/auditorium: 42

Classical lectures where the lecturer explains the main parts of the teaching material to the students. This process is carried out while paying particular attention to the active participation of the students.

The lectures are supplied by exercise sessions under the supervision of a teaching assistant. In these sessions, the students are supposed to work with and present exercises related to the material covered in the lectures.


Other planned teaching activities: 

* Reading and understanding of textbook material as preparation for the lectures, either individually or in study groups.

* Preparation of exercises ahead of the exercise sessions, either individually or in study groups.

* Preparation of mandatory assignments.

Teacher responsible

Name E-mail Department
Jørgen Ellegaard Andersen jea@sdu.dk Institut for Matematik og Datalogi

Additional teachers

Name E-mail Department City
Gard Olav Helle gardoh@imada.sdu.dk Institut for Matematik og Datalogi

Timetable

Administrative Unit

Institut for Matematik og Datalogi (matematik)

Team at Registration

NAT

Offered in

Odense

Recommended course of study

Profile Education Semester Offer period

Transition rules

Transitional arrangements describe how a course replaces another course when changes are made to the course of study. 
If a transitional arrangement has been made for a course, it will be stated in the list. 
See transitional arrangements for all courses at the Faculty of Science.