Main field(s) of study and in-depth level:
Computational Science A1N
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 with Scientific Computing I and II and Quantum Physics or equivalent.
On completion of the course, the student should be able to:
account for how numerical methods can be developed
apply his practical experiences on physical problems
account for various scientific problems the different methods can be used to solve
account for the role as computer models and simulations play at studies of physical systems within material technology
Overview and advanced study of numerical methods. The course is focused against practical aspects of computational physics and contain set-up and writing of software to solve physical problems particularly within molecular dynamics, statistical physics and material physics. Different aspects of molecular dynamics simulations, for example the precision of pair-potentials and the length of time steps, will be highlighted. Different aspects of stochastic and deterministic simulations by Monte Carlo simulations and Langevin methods will be discussed. Numerical aspects of electronic structure calculations with tight-binding approximation will be covered along with more sophisticated Hartree-Fock and Density Functional theory.
Strong emphasis on computer exercises and project work; in addition teaching sessions and seminars.
Computer exercises and project work.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.