Statistics and Stochastics

Statistics and stochastics in naval architecture and ocean engineering




V. Müller

Course Format:

2 hours Lecture


Winter Semester

Recommended Previous Knowledge:

Basic mathematics corresponding to the courses offered on Bachelor level (Naval Architecture, Mechanical Engineering) or equivalent


1. Fundamentals of statistics
2. Set theory
3. Statistical events and their notation
4. Probability space
5. Conditional probability
6. Random variables and probability
7. Discrete and continuous distribution
8. Expected values and variance
9. Law of large numbers and central limit theorem
10. Random processes
11. General harmonic analysis
12. Sea state as a Gaussian process

Learning Outcomes:

Introduction to statistical methods for naval architects


Reading Resources:

Performance Record:

Written Exam

ECTS Credit Points:



90 hours total


Further Information:

Course description