MEK4350 – Stochastic and Nonlinear Ocean Waves
Schedule, syllabus and examination date
Changes in the course due to coronavirus
Autumn 2020 the exams of most courses at the MN Faculty will be conducted as digital home exams or oral exams, using the normal grading scale. The semester page for your course will be updated with any changes in the form of examination.
An introduction is given to stochastic description of ocean waves, wave spectrum, wave statistics, and definition of freak waves. An introduction is also given to nonlinear wave resonance, free and bound waves, models for nonlinear wave evolution, and modulational instability.
After completing the course you will:
- know how to compute the Fourier transform, Fourier series and DFT (Discrete Fourier Transform) by hand and on computer, and account for the relationship between Fourier series and DFT, aliasing, Nyquist frequency and Parsevals theorem;
- know how to describe ocean waves as a stochastic process, and have knowledge of relevant properties for stochastic processes for ocean waves such as stationary and weakly stationary process, ergodic process and narrow band process;
- know elementary wave statistics including skewness and kurtosis. Relevant distributions including normal distribution and Rayleigh distribution;
- be able to explain what we mean by Gaussian sea, wave height, significant wave height, crest height and freak waves;
- know how to compute the wave spectrum as the Fourier transform of the auto correlation function and use the Fourier transform to estimate spectrum;
- know about spectrum in several dimensions, including wave vector spectrum, wavenumber spectrum, frequency spectrum and directional spectrum;
- know how to explain the meaning of nonlinear wave resonance for gravity waves, and distinguish between free and bound waves;
- have basic knowledge of the difference between linear and nonlinear statistical distributions for crest heights and wave heights;
- have knowledge of simple models for nonlinear evolution of wave trains, and corresponding nonlinear phenomena such as modulational instability of Stokes waves.
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.
Recommended previous knowledge
- 10 credits overlap with MEK9350 – Stochastic and Nonlinear Ocean Waves.
4 hours of lectures/exercises per week throughout the semester.
The course may be taught in Norwegian if the lecturer and all students at the first lecture agree to it.
Upon the attendance of three or fewer students, the lecturer may, in conjunction with the Head of Teaching, change the course to self-study with supervision.
Final written exam 4 hours or final oral exam, which counts 100 % towards the final grade.
The form of examination will be announced by the lecturer by 15 October/15 March for the autumn semester and the spring semester respectively.
This course has 2 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: MEK9350 – Stochastic and Nonlinear Ocean Waves
Examination support material
Written examination: Rottmann´s formula list and approved calculator. Information about approved calculators in Norwegian.
Language of examination
Courses taught in English will only offer the exam paper in English.
You may write your examination paper in Norwegian, Swedish, Danish or English.
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
This course offers both postponed and resit of examination. Read more: