Programme Outlines and Overviews

Multidisciplinary Optimization 7.5 credits

Course content

The course enables engineering students to apply optimization methods in the engineering process to optimize various product realization aspects. The applications can be both broad and<br> multidisciplinary, or highly specific centered around for example detailed engineering design. The course includes the following elements: - Basic programming: variables, lists, functions, flow control, etc. - Derivatives in multiple dimensions, numerical and automatic differentiation - Univariate optimization, local descent and line search - First-order methods, second-order methods, direct methods and population based methods - Constraints, Lagrange multipliers, KKT-conditions, penalty methods - Sampling, surrogate models, multiobjective optimization, Pareto optimality

Entry requirements

Passed courses of at least 150 credits in the program Industrial Product Realisation, or a bachelor’s degree (i.e the equivalent of 180 ECTS credits at an accredited university) with at least 90 credits in Mechanical Engineering, Product Development, Materials Engineering, Manufacturing Engineering, Industrial Engineering, Civil or Construction Engineering, or the equivalent. The bachelor’s degree should comprise a minimum of 15 credits in Mathematics. Proof of English proficiency is required.

Level: Second cycle

Course/Ladok-code: TMOR25

School: School of Engineering