Course content

Design process modelling. Evaluating and selecting among alternative design solutions, utility theory. Design optimization. Linear programming, interpreation of primal and dual variables. Analytical solution to non-linear problems. Heuristic methods applied on non-linear models, genetic algorithms. Simulation models. Basic decision theory. Network optimization. Software tools for optimization.

Learning outcome

The course will give a foundation for understanding and applying mathematical programming and operations research for decision support and optimization in relation to design of marine systems.

Learning methods and activities

Learning is based on both ordinary classes and assignments. The assignments focus on applying methods using databased tools. The term paper will focus on the practical application of the models and methods covered in the course. Portfolio assessment is the basis for the grade in the course. The portfolio includes a final written exam (70%) and exercises (30%). The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade. Postponed/repeated exams may be oral.

Compulsory assignments

• Exercises

Recommended previous knowledge

TMR4252 Marine Systems Design or similar.

Course materials

Lecture notes and papers.

Credit reductions