Course Overview
This course provides detailed knowledge of the basic principles and methods which are used to describe stochastic processes with the emphasis on the applications to sealoads and motions of marine systems
Course Highlights
Probability modelling techniques. Statistical inference. Transformation of random variables. Monte Carlo simulation. Probability distributions for response. Parameter-estimation. Extreme-value statistics. Stochastic processes. Auto- and cross-correlation functions. Spectra and cross-spectra. Differentiation of stochastic processes. Excitation-response of stochastic processes. Response-statistics.
MAIN GOAL
Demonstration of the basic principles and methods which are used to describe stochastic processes and to show detailed knowledge of statistical methods and of the basis for description of stochastic processes
Learning Outcomes
After completion of this course, you will gain the ability to:
- + Make simple calculations of stochastic loads on and responses of marine structures
- + Document mastering of the concepts and terminology which are used in statistical methods and for description of stochastic processes and how this is applied in marine technology
Meet Your Instructors
Admissions
Entry Requirements
- + Recommended: TMA4240/45 Statistics
- + Recommended: TMR4247 Marine Technology - Hydrodynamics
- + Recommended: TMR4182 Marine Dynamics or equivalent
Teaching and Assessment Methods
- + Lectures
- + Exercises (75% Mandatory)
- + The grade in the course is based on a final written exam (100%). The result is assigned a letter grade.
- + Postponed/repeated exams may be oral. For a re-take of an examination, all assessments during the course must be re-taken.
Application Deadline: TBC.
Practical Notes
- + D.E. Newland: An introduction to random vibrations, spectral and wavelet analysis, 3rd edition, 1993
- + B.J. Leira: Lecture notes
- + D. Myrhaug: Lecture notes
Fees & Funding
Tuition Fees
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Course Info
Contact David Kristiansen for any additional information relating to this course.