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151-3209-00L 4 Credits BSC , DR , MSC D-MATL , D-ARCH , D-MAVT
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Engineering Design Optimization

Lecturers & Examiners: Prof. Dr. Kristina Shea, Dr. Tino Stankovic
VVZ CR n/a

Last Updated: 2026-06-01 11:30:57

Abstract

The course covers fundamentals of computational optimization methods in the context of engineering design. It develops skills to formally state and model engineering design tasks as optimization problems and select appropriate methods to solve them.

Objective

The lecture and exercises teach the fundamentals of optimization methods in the context of engineering design. After taking the course students will be able to express engineering design problems as formal optimization problems. Students will also be able to select and apply a suitable optimization method given the nature of the optimization model. They will understand the links between optimization and engineering design in order to design more efficient and performance optimized technical products. The exercises are MATLAB based.

Content

1. Optimization modeling and theory 2. Unconstrained optimization methods 2. Constrained optimization methods - linear and non-linear 4. Direct search methods 5. Stochastic and evolutionary search methods 6. Multi-objective optimization

Resources

Lecture Notes

available on Moodle

General Information

Language
English
Levels
BSC , DR , MSC
Frequency
Yearly recurring

Examination

Type
end-of-semester examination
Mode
written 120 minutes
Aids
1 A4 sheet handwritten formula
Digital
The exam takes place on devices provided by ETH Zurich.
computer-based exam.

Registration & Places

Max Places
60
Signup End
22.09.2025

Course Components

Type Title Time & Place Hours
lecture with exercise Engineering Design Optimization
  • Wed 14:15-18:00 (ML F 34)
4 h weekly

Offered In