151-3209-00L  Engineering Design Optimization

SemesterAutumn Semester 2023
LecturersK. Shea, T. Stankovic
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
151-3209-00 GEngineering Design Optimization4 hrs
Wed14:15-18:00ML F 34 »
K. Shea, T. Stankovic

Catalogue data

AbstractThe 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.
Learning objectiveThe 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.
Content1. 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
Lecture notesavailable on Moodle

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersK. Shea, T. Stankovic
Typeend-of-semester examination
Language of examinationEnglish
RepetitionA repetition date will be offered in the first two weeks of the semester immediately consecutive.
Mode of examinationwritten 120 minutes
Additional information on mode of examinationcomputer-based exam.
Written aids1 A4 sheet handwritten formula
Digital examThe exam takes place on devices provided by ETH Zurich.
Distance examinationIt is not possible to take a distance examination.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places60 at the most
Waiting listuntil 19.09.2023
End of registration periodRegistration only possible until 25.09.2023

Offered in

ProgrammeSectionType
Doctorate Materials ScienceAdvanced Manufacturing (MaP Doctoral School)WInformation
Integrated Building Systems MasterSpecialised CoursesWInformation
Mechanical Engineering BachelorDesign, Mechanics and ManufacturingWInformation
Mechanical Engineering MasterDesign, Computation, Product Development & ManufacturingWInformation