FF505: Computational science (8 ECTS)

STADS: 07005501

Level
Bachelor course

Teaching period
The course is offered in the spring semester.

Teacher responsible
Email: paolo.sibani@sdu.dk
Email: pica@cp3.dias.sdu.dk

Additional teachers
marco@imada.sdu.dk

Timetable
Group Type Day Time Classroom Weeks Comment
Common I Tuesday 09-10 IMADA ComputerLab 3,5-7
Common I Tuesday 09-12 IMADA ComputerLab 13
Common I Wednesday 09-12 IMADA ComputerLab 9-10
Common I Thursday 09-10 IMADA ComputerLab 3
Common I Thursday 14-15 IMADA ComputerLab 5-6
Common I Friday 13-16 IMADA ComputerLab 7,9-10,13
Common I Friday 10-13 IMADA ComputerLab 14
N10 TL Tuesday 10-12 IMADA ComputerLab 3,5-7
N10 TL Thursday 10-12 IMADA ComputerLab 3
N10 TL Thursday 09-12 IMADA ComputerLab 4,14
N10 TL Thursday 15-17 IMADA ComputerLab 5-6
N10 TL Friday 13-16 IMADA ComputerLab 5-6
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Comment:
Ubegrænset deltagerantal.

Prerequisites:
None

Academic preconditions:
None

Course introduction
Many phenomena in science can be described mathematically by differential equations. The solutions to these equations, and thereby also the phenomena themselves, can often be simulated on a computer. Students taking this course will be introduced to mathematical modelling of selected physical systems using linear algebra and differential equations and to numerical calculations and data visualization using a mathematical software system.

Expected learning outcome
At the end of the course, the student is expected to:
  • Be able to use basic methods and results from linear algebra and Fourier analysis to solve linear systems of coupled and partial differential equations describing physical models.
  • Be able to use a mathematical software system to treat specific physical models numerically, assess the quality of the results obtained and the applicability of the underlying model to the phenomena the model is meant to describe.
  • Write a report in which the results obtained are presented in a clear and concise way, and to present and defend this report at an oral examination.
Subject overview
  • Elementary vector space theory: vectors, matrices, linear spaces, linear transformations and their matrix representations, eigenvectors and eigenvalues.
  • The spectral theorem for linear transformations on finite dimensional linear spaces and eigenfunction expansion, including Fourier series.
  • Solving boundary value problems using eigenfunction expansions.
Literature
    Meddeles ved kursets start.


Website
This course uses e-learn (blackboard).

Prerequisites for participating in the exam
None

Assessment and marking:
Oral exam based on a project. Evaluated by Danish 7 mark scale, external examiner (8 ECTS)

Reexamination after the 4th quarter

The mode of exam at the reexamination may differ from the mode of exam at the ordinary exam.



Expected working hours
The teaching method is based on three phase model.
Intro phase: 10 hours
Skills training phase: 37 hours

Educational activities Study phase: 10 hours

Language
This course is taught in Danish or English, depending on the lecturer.

Course enrollment
See deadline of enrolment.

Tuition fees for single courses
See fees for single courses.