Denna kurs ger en bra grund inom designoptimering och visar på det intima förhållandet mellan den matematiska modellen som beskriver själva designen och de lösningsmetoder som optimerar den.
Kursen ges på engelska.
The course aims to puts the concept of optimal design on a rigorous foundation and demonstrates the intimate relationship between the mathematical model that describes a design and the solution methods that optimize it.
The students will be introduced to the concept of design optimization and how to utilize its strength in the context of product and engineering design. An overall goal is to learn the skill on how to design not only products that meet the requirements, but that are also optimal! The course will both handle the theoretical background as well as hands on practice in Matlab. Topics such as e.g. design of experiments, meta-modelling, gradient-based optimization, gradient-free optimization as well as multi-objective optimization will be covered.
As a part of the course ach student will conduct an optimization project, preferably as a part of their research Project.
The course is structured in three blocks of time, where we will hold a total of five full-day class sessions. These sessions will include lecture-style discussions, in-class problem-solving exercises, and computer-based exercises, all activities can be done remotely online if necessary. The main assignment is a term project, where students will work on their own or in pairs to formulate, analyze, solve, and interpret the results for a design optimization problem of their choosing (preferably related to their research).