Course Details Language of Instruction Turkish Level of Course Unit Bachelor's Degree Department / Program Industrial Engineering Type of Program Formal Education Type of Course Unit Elective Course Delivery Method Face To Face Objectives of the Course Students should acquire the ability to model and solve real-life problems using operations research techniques, as well as to analyze the resulting solutions. They should be able to understand various types of models—such as stochastic and deterministic models—and utilize computer software to solve them. Course Content This course aims to teach students the theoretical foundations and applications of optimization by covering the fundamental principles of optimization techniques and algorithms. The curriculum includes key optimization approaches such as the branch-and-bound method, one-dimensional search techniques—including the golden section search and Fibonacci search—as well as Newton’s and Lagrange’s methods. Furthermore, the course explores nature-inspired heuristic methods, such as the ant colony algorithm, and multi-criteria decision-making techniques, including goal programming. In the latter part of the course, students will work on practical applications and projects designed to help them apply the methods they have learned to real-world problems. Course Methods and Techniques İnsite Prerequisites and co-requisities None Course Coordinator None Name of Lecturers Asist Prof.Dr. Jamil Hallak Assistants None Work Placement(s) No Recommended or Required Reading Resources Operations Research: An Introduction, Hamdy Taha, Ninth Ed., Pearson, 2011. 2- Introduction to Operations Research, Frederich S. Hillier, Gerald J. Lieberman, Ninth Ed. McGraw- Hill, 2010 Course Notes Operations Research: An Introduction, Hamdy Taha, Ninth Ed., Pearson, 2011. 2- Introduction to Operations Research, Frederich S. Hillier, Gerald J. Lieberman, Ninth Ed. McGraw- Hill, 2010 Documents . Assignments . Exams . Course Category Field %100