Information Package / Course Catalogue
Optimization
Course Code: BFN565
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The concept of optimization, fundamental principles related with the topic, teaching of standard level various optimization methods and dealing particularly with the application examples in structural engineering area proceeding from general expressions constitute the basic objectives of the course.

Course Content

Classical Optimization Techniques,General view of mathematical programming techniques, Introduction to optimization,Optimization with Lagrange multipliers and its application

Name of Lecturer(s)
Lec. Yılmaz ERDEM
Learning Outcomes
1.To have a knowledge on optimization concept and fundamental principles
2.To be able relate engineering problems with mathematical modellings
3.To analyze enginnering problems by using mathematical modellings
4.To recognize informed and suitable results with optimization techniques
5.To develope optimum solution from alternative solutions
Recommended or Required Reading
1.Lecture Notes Supplementary Book(s): Related publications
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to optimization. Basic descriptions and concepts.
Week 2 - Theoretical
Design space, constraint surfaces, objective function. Statement of an optimization problem.
Week 3 - Theoretical
General view of mathematical programming techniques.
Week 4 - Theoretical
Classical Optimization Techniques (Calculus methods), linear programming, non linear programming, quadratic program-ming, geometric programming, dynamic programming, integer programming, network methods (CPM, PERT) etc.
Week 5 - Theoretical
Classical Optimization Techniques: Single variable optimization techniques and its application
Week 6 - Theoretical
Classical Optimization Techniques: Multi variable optimization techniques with no constraints and its application
Week 7 - Theoretical
Various applications. Giving the term-assignment.
Week 8 - Intermediate Exam
Midterm Exam
Week 9 - Theoretical
Classical Optimization Techniques: Multi variable optimization techniques with equality constraints and its application
Week 10 - Theoretical
Classical Optimization Techniques: Multi variable optimization techniques with inequality constraints and its application
Week 11 - Theoretical
Optimization with Lagrange multipliers and its application.
Week 12 - Theoretical
Linear Programming: Simplex Method
Week 13 - Theoretical
Applications
Week 14 - Theoretical
General Assesment
Week 15 - Theoretical
General Assesment
Week 16 - Final Exam
Final Exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Individual Work72228
Midterm Examination110111
Final Examination115116
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
OÇ-1
4
5
5
2
5
4
5
5
5
OÇ-2
3
3
3
5
4
4
4
5
5
OÇ-3
5
4
4
4
4
2
5
3
3
OÇ-4
2
4
4
5
2
5
3
3
4
OÇ-5
4
4
2
5
3
3
3
5
4
Adnan Menderes University - Information Package / Course Catalogue