Maritime Data Science
The ability to work with maritime data is of great importance for the development and operation of competitive ships, yachts, and high-end superyachts. This minor provides insight into advanced design and analysis tools for the maritime industry. How can we reduce resistance using CFD analysis? How do we find the optimum when dealing with conflicting parameters such as strength and weight? How can measured data be used in new ship designs? Do we approach this analytically, or can AI tools such as neural networks or machine learning help us find better solutions? You will become familiar with a wide range of exciting and advanced tools that you can benefit from throughout your entire career.
Minor content
For example, we work on:
- Gaining insight into advanced design and analysis tools such as CFD, optimization techniques, basic Python programming, and the use of AI tools like machine learning, neural networks, and image recognition.
- Acquiring knowledge that will be valuable throughout your entire career.
- Understanding the background and broader context of the field.
- A course that is easy to combine with work and private life through a mix of on-site and online classes.
This minor is offered in English if there are English-speaking participants.
Structure of the minor
Learning Objectives / What Can I Expect?
The course consists of 7 modules that can be taken individually or as a complete program. All modules are concluded with an assessment in the form of an assignment. The modules are:
Applied Programming in Python (6 ECTS)
Optimization Methods (2 ECTS)
Data and Shape Modelling (5 ECTS)
Computational Fluid Dynamics (4 ECTS)
Machine Learning and Neural Networks (4 ECTS)
Research Skills for Data Science (3 ECTS)
Research Assignment (6 ECTS)
One ECTS credit corresponds to approximately 28 hours of study.
Study features
The assessment methods used are:
- Assignments
- Presentations
- Paper
- Podcast
- No written exams
The course has a strong maritime focus, with an emphasis on the technical background of the subjects within yacht building and commercial shipping. It is particularly suitable for people with the following backgrounds:
- Maritime Engineering
- Maritime Officer
- Ocean Technology
- Engineering with maritime affinity
Having an aptitude for numbers and logical thinking is an advantage for successfully completing the course. An online module covering basic Python knowledge can be provided. External participants will follow the (digital) classes together with fourth-year students.
