Computational Physics
Academic Study Board of the Faculty of Engineering
Teaching language: English
EKA: T470018102
Censorship: Second examiner: Internal
Grading: 7-point grading scale
Offered in: Odense
Offered in: Spring
Level: Master
Course ID: T470018101
ECTS value: 5
Date of Approval: 22-09-2022
Duration: 1 semester
Version: Approved - active
Course ID
Course Title
ECTS value
5
Internal Course Code
Responsible study board
Administrative Unit
Date of Approval
Course Responsible
| Name | Department | |
|---|---|---|
| Pia Friis Kristensen | piakr@tek.sdu.dk | TEK Uddannelseskoordinering og -support |
| Rene Lynge Eriksen | rle@mci.sdu.dk | Mads Clausen Instituttet (MCI) |
Teachers
Programme Secretary
Offered in
Level
Offered in
Duration
Mandatory prerequisites
Relevant bachelors degree within Physics and Technology.
Learning objectives - Knowledge
The knowledge of the…
- classification of the equations that govern common physical phenomena
- different methods to solve ordinary differential equations in time
- different methods to reduce partial differential equaitons to a system of ordinary differential equations in time (discretization)
- main advantages and drawbacks of these methods
- result verification mechanisms and convergence evaluation techniques (i.e. consistency and stability) for the obtained results
Learning objectives - Skills
The ability to…
- design and implement numerical methods to general physical problems described by linear ODEs and PDEs (Matlab / Python, PDEs up to 2D)
- use the basic features of a off-the-shelf finite element solver (e.g. COMSOL)
- check for solution convergence and estimate the numerical error
- (post-)process and appropriately analyse and communicate the generated results.
Learning objectives - Competences
The ability to…
- work independently acquiring necessary skills to solve a given problem.
- convey the acquired knowledge and skills to an appropriate audience.
- describe the mathematical / numerical model for a specific problem and document the implementation and numerical solution of the problem.
Content
This will provide the student with:
- Description of spatially discrete physical problems (e.g. trajectories, molecular dynamics) as ordinary differential equations (ODEs) in time
- Numerical methods for the solution of such ODEs (e.g. Runge-Kutta methods)
- Description of spatially continuous physical problems (e.g. electromagnetic, acoustic, diffusive) by partial differential equations (PDEs)
- Numerical solutions for the introduced PDEs by the means of various discretization schemes in space (e.g. finite differences, finite elements)
- Verification, accuracy and feasibility analysis of the developed numerical solutions
- Appropriate result communication and presentation concepts
URL for Skemaplan
Number of lessons
Teaching Method
Lectures and minor project work / lab sessions with practice problems.
Teaching language
Examination regulations
Exam regulations
Name
Exam regulations
Examination is held
In the end of the semester
Tests
Exam
EKA
T470018102
Name
Exam
Description
A demonstrated proficiency in the practice problems will be included as basis for the examination (not in the assessment).
Form of examination
Oral examination
Censorship
Second examiner: Internal
Grading
7-point grading scale
Identification
Student Identification Card - Date of birth
ECTS value
5
Additional exam information
The form of examination in the re-examination is the same as in the ordinary examination.
Courses offered
| Offer period | Offer type | Profile | Education | Semester |
|---|---|---|---|---|
| Spring 2025 | Mandatory | MSc in Physics and Technology, 2023 | Master of Science in Engineering (Physics and Technology) | Odense | 2 |
| Spring 2025 | Mandatory | MSc in Physics and Technology, Odense, 2024 | Master of Science in Engineering (Physics and Technology) | Odense | 2 |