FY530: Computational Science
Study Board of Science
Teaching language: Danish or English depending on the teacher, but English if international students are enrolled
EKA: N500027102
Assessment: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Bachelor
STADS ID (UVA): N500027101
ECTS value: 5
Date of Approval: 23-10-2018
Duration: 1 semester
Version: Archive
Comment
The course cannot be chosen by students who have passed FF505.
07011901(former UVA) is identical with this course description.
Entry requirements
Academic preconditions
Students taking the course are expected to:
- Have knowledge of linear algebra.
- Be able to use a computer.
- Participate actively in all teaching phases.
Course introduction
The aim of the course is to enable the student to use computational
tools to model physical problems. This is important to develop an
understanding of the problems and to deal with a variety of
applications.
tools to model physical problems. This is important to develop an
understanding of the problems and to deal with a variety of
applications.
The course builds on the knowledge acquired in the
course MM505 Linear algebra, and provides tools useful for most of the
subjects encountered later in the physics curriculum, e.g. quantum
mechanics.
- Give
the competence to use basic methods from linear algebra to model
physical problems and to assess the quality of the results obtained in
relation to the phenomena the models describe. - Give skills to use Matlab and Mathematica
- Give knowledge and understanding of application of numerical methods
Expected learning outcome
The learning objectives of the course are that the student demonstrates the ability to:
- use Matlab and Mathematica as computational tools and for data visualization.
- use
basic methods and results from linear algebra and Fourier analysis to
solve linear systems of coupled and partial differential equations
describing physical phenomena. - assess the quality of the
numerical results obtained and the applicability of the model used to
the phenomena it is meant to describe. - write a report in which
the results obtained are presented in a clear and concise way, and
present and defend this report at an oral examination.
Content
The following main topics are contained in the course:
- Introduction to Matlab and Mathematica
- Systems of coupled differential equations and partial differential equations as models of physical phenomena.
- Data handling and visualization.
Literature
Examination regulations
Exam element a)
Timing
June
Tests
Oral exam about project report
EKA
N500027102
Assessment
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card
Language
Normally, the same as teaching language
Examination aids
To be announced during the course
ECTS value
5
Additional information
The examination form for re-examination may be different from the exam form at the regular exam.
Indicative number of lessons
Teaching Method
At the faculty of science, teaching is organized after the three-phase model ie. intro, training and study phase.
Educational form
The course is based on hands-on teaching, where the students learn by doing problems shortly after they are presented.