Graduate
Institute of Graduate Studies
Engineering Management English(Thesis)
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Applied Optimization Techniques

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
IEM0201 Applied Optimization Techniques 3/0/0 DE English 9
Course Goals
 Implementation of IE methods into real life cases and developing oral and written skills.

The course will focus on Industrial engineering problem solving, critical thinking and implementation of effective communication skills.
Prerequisite(s) NONE
Corequisite(s) IE0901
Special Requisite(s) Good comand of English and academic writing skills (APA)
Instructor(s) Assoc. Prof. Fadime Üney Yüksektepe
Course Assistant(s)
Schedule The course is not offered this semester.
Office Hour(s) The course is not offered this semester.
Teaching Methods and Techniques -Oral Presentation
Principle Sources -PowerPoint presentations and paper assignments
Other Sources -APA format will be discussed.
Course Schedules
Week Contents Learning Methods
1. Week An overview of the course Oral Presentation
2. Week Review on linear programming model construction Oral Presentation
3. Week Review on linear programming model construction Oral Presentation
4. Week Examples on linear programming and integer programming models Oral Presentation
5. Week Examples on linear programming and integer programming models Oral Presentation
6. Week Examples on linear programming and integer programming models Oral Presentation
7. Week Examples on linear programming and integer programming models Oral Presentation
8. Week Examples on linear programming and integer programming models Oral Presentation
9. Week Paper Presentation Oral Presentation
10. Week Paper Presentation Oral Presentation
11. Week Paper Presentation Oral Presentation
12. Week Paper Presentation Oral Presentation
13. Week Paper Presentation Oral Presentation
14. Week Review Oral Presentation
15. Week Final Exam
16. Week Final Exam
17. Week Final Exam
Assessments
Evaluation tools Quantity Weight(%)
Project(s) 1 50
Final Exam 1 50


Program Outcomes
PO-1Knowledge about management processes and management skills
PO-2Knowledge and application skills related to the methods and competencies required for solving engineering problems
PO-3Knowledge about developing areas of manufacturing and service sectors
PO-4Ability to work in multi-disciplinary engineering teams
PO-5Experience and knowledge of scientific research and publishing within the frame of academic ethics
Learning Outcomes
LO-1Implementation of IE into real life cases
LO-2Being able to write a technical paper
LO-3Being able to present technical papers.
LO-4Being able to understand a technical paper.
LO-5Examples of real cases will be discussed.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5
LO 1
LO 2
LO 3
LO 4
LO 5