Information Package / Course Catalogue
Fundamentals of Optimization Methods in Engineering Design
Course Code: ME436
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to introduce undergraduate students to fundamental optimization methods used in engineering design problems. Students will learn how to define design variables, constraints, and objective functions, and apply basic optimization techniques to improve engineering designs in terms of performance, weight, and efficiency..

Course Content

Introduction to optimization, design variables and constraints, objective functions, basic mathematical optimization methods, introduction to numerical optimization, shape optimization, fundamentals of topology optimization, generative design concepts, and basic engineering analysis.

Name of Lecturer(s)
Learning Outcomes
1.Define optimization problems in engineering design
2.Identify design variables, constraints, and objective functions
3.Apply basic optimization methods to simple engineering problems
4.Understand fundamental concepts of shape and topology optimization
5.Evaluate and interpret optimization results from an engineering perspective
Recommended or Required Reading
1.Fusion 360 shape and structural optimization tutorials
2.Ansys Structural optimization tutorials
3.A Practical Guide to Design for Additive Manufacturing, Springer Series in Advanced Manufacturing, https://doi.org/10.1007/978-981-13-8281-9, Series E-ISSN2196-1735, 2019
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to optimization
Week 2 - Theoretical
Basic mathematical concepts for optimization
Week 3 - Theoretical
Design variables and parameters
Week 4 - Theoretical
Constraints and objective functions
Week 5 - Theoretical
Basic optimization methods
Week 6 - Theoretical
Introduction to numerical optimization
Week 7 - Theoretical
Shape optimization
Week 8 - Intermediate Exam
Midterm exam
Week 9 - Theoretical
Introduction to topology optimization
Week 10 - Theoretical
Generative design concepts
Week 11 - Theoretical
Introduction to finite element analysis (FEA)
Week 12 - Theoretical
Analysis applications
Week 13 - Theoretical
Optimization applications
Week 14 - Theoretical
Project study
Week 15 - Theoretical
Presentations
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Assignment3%10
Project1%20
Midterm Examination1%20
Final Examination1%50
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory141356
Assignment35015
Project110010
Reading141014
Midterm Examination19110
Final Examination118220
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
OÇ-1
5
4
3
4
3
5
5
4
3
3
2
5
OÇ-2
5
5
4
4
3
3
4
5
4
5
5
5
OÇ-3
4
5
3
4
3
5
5
5
4
5
4
4
OÇ-4
5
5
4
5
4
3
3
4
4
5
5
4
OÇ-5
4
5
4
3
3
3
4
3
4
5
3
4
Adnan Menderes University - Information Package / Course Catalogue
2026