Schedule, syllabus and examination date

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Course content

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and eigenvalue problems, numerical integration, Monte Carlo methods, and modeling. The course also covers a short and hands-on introduction to programming in C++ and version control with git, and provides training in how to write a scientific report.

Learning outcome

After having completed the course:

  • you master basic C++ programming for numerical applications, as well as use of git for version control.
  • you have basic knowledge of optimization and parallelization of code.
  • you can apply a number of numerical methods for eigenvalue problems and matrix operations, ordinary and partial differential equations, integration, and simulation of stochastic systems. Among the methods covered are LU decomposition, the Verlet algorithm, Runge-Kutta methods, the Crank-Nicolson method, Gaussian quadrature, Monte Carlo methods, Markov chains, and the Metropolis algorithm.
  • you can account for the strengths and weaknesses of the above numerical methods.
  • you have knowledge of applications of numerical methods in different scientific fields.
  • you can communicate numerical work through writing a scientific report.

Admission to the course

Students admitted at UiO must apply for courses in Studentweb. Students enrolled in other Master's Degree Programmes can, on application, be admitted to the course if this is cleared by their own study programme.

Nordic citizens and applicants residing in the Nordic countries may apply to take this course as a single course student.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures for international applicants.

Overlapping courses

Teaching

The course extends over a full semester with 6 hours of teaching per week:

  • 4 hours of lectures
  • 2 hours of computer lab sessions

This course has two mandatory assignments that must be approved before the final exam.

Examination

  • Three home exams which counts 1/3 towards the final grade.

When writing your assignments make sure to familiarize yourself with the rules for use of sources and citations. Breach of these rules may lead to suspicion of attempted cheating.

This course has mandatory assignments that must be approved before you can sit the final exam.

It will also be counted as one of the three attempts to sit the exam for this course, if you sit the exam for one of the following courses: FYS3150 – Computational Physics

Language of examination

Subjects taught in English will only offer the exam paper in English. You may write your examination paper in Norwegian, Swedish, Danish or English.

Grading scale

Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.

Resit an examination

Students who can document a valid reason for absence from the regular examination are offered a postponed examination at the beginning of the next semester.

Re-scheduled examinations are not offered to students who withdraw during, or did not pass the original examination.

Special examination arrangements, use of sources, explanations and appeals

See more about examinations at UiO

Last updated from FS (Common Student System) Aug. 8, 2022 6:13:11 AM

Facts about this course

Credits
10
Level
Master
Teaching
Autumn

If the course is offered, a minimum of four students is required for ordinary lectures to take place. If less than four students participate, an exam will be given, but one should not expect ordinary teaching.

Examination
Autumn
Teaching language
Norwegian (English on request)