Recommended prerequisite for participation in the module

Content, progress and pedagogy of the module

Learning objectives

Knowledge

• Have gained an in-depth understanding of important concepts and methods of optimization for efficient solution of optimization problems within different areas of engineering, including design optimization of mechanical systems.

Skills

• Be able to use optimization concepts and topics.
• Be able to use numerical methods of unconstrained optimization.
• Be able to use numerical (mathematical programming) methods for optimization of multi-dimensional functions with constraints.
• Be able to solve multicriterion optimization problems.
• Be able to apply other methods of optimization, such as integer problems, response surface methods, genetic algorithms, etc.
• Be able to perform general applications of optimization methods: parameter identification, optimization as an analysis tool for problems governed by an extremum principle, surrogate and metamodelling problems.

Competences

• Be able to apply the concepts, theories and methods for solution of engineering optimization problems.
• Be able to account for the considerations involved in the process of formulating and modeling an engineering optimization problem, choosing an advantageous method of solution, and implementing it in practice.

Type of instruction

The teaching is organized in accordance with the general form of teaching. Please see the programme cirruculum §17.

Extent and expected workload

Since it is a 5 ECTS course module the expected workload is 150 hours for the student.

Exam

Exams