Main field(s) of study and in-depth level:
Computer Science A1F,
Computational Science A1F,
Explanation of codes
The code indicates the education cycle and in-depth level of the course in relation to other courses within the same main field of study according to the requirements for general degrees:
G1N: has only upper-secondary level entry requirements
G1F: has less than 60 credits in first-cycle course/s as entry requirements
G1E: contains specially designed degree project for Higher Education Diploma
G2F: has at least 60 credits in first-cycle course/s as entry requirements
G2E: has at least 60 credits in first-cycle course/s as entry requirements, contains degree project for Bachelor of Arts/Bachelor of Science
GXX: in-depth level of the course cannot be classified.
A1N: has only first-cycle course/s as entry requirements
A1F: has second-cycle course/s as entry requirements
A1E: contains degree project for Master of Arts/Master of Science (60 credits)
A2E: contains degree project for Master of Arts/Master of Science (120 credits)
AXX: in-depth level of the course cannot be classified.
Fail (U), Pass (3), Pass with credit (4), Pass with distinction (5)
The Faculty Board of Science and Technology
120 credits of which vector analysis, linear algebra, Computer programming II and Scientific Computing III or the equivalent is included.
describe how 3D geometry is represented in a computer,
identify suitable mathematical models in structural mechanics and fluid mechanics,
identify suitable numerical methods to compute the solutions to these mathematical models,
choose suitable software tools to solve these problems,
generate computational grids and handle advanced software, pre- and post-processing,
evaluate simulation results based on the mathematical and numerical theory and identify possible shortcomings in the results,
interpret computed solutions.
The contents is coupled to two different application areas: fluid dynamics and structural mechanics. The contents include grid generation and interface to computer aided design (CAD), practical aspects of finite element methods (FEM) and finite volume methods (FVM), choice of the mathematical model and adjustment of the model, visualisation and post-processing.
Lectures, laboratory work and assignments.
Written exam (3 credits) and approved assignments (2 credits).