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END 301 - Operations Research II

Faculty of Business and Management Sciences · Business Administration (English 30%) · Undergraduate

ECTS: 6 T+P+L: 3+0+0 University Elective
Coordinator: Prof. Dr. Özgür KÖKALAN

Course Objective

The teaching of the theory and solution procedures of Integer Programming, Goal Programming, Dynamic Programming, Inventory Models, and Queueing Models, thereby ensuring that management policies and activities are determined scientifically.

Course Content

Integer Linear Programming and Algorithms; Goal Programming, Dynamic Programming, Deterministic Stock Models; Queueing Theory and Queueing Models

Required Resources

1- Lecture Notes

2- Winston W.L. (2004) “Operations Research: Applications and Algorithms”, Brooks/Cole – Thomson Learning

Recommended Resources

1- Öztürk, Ahmet (2016) "Yöneylem Araştırması 16. Baskı", Ekin Basın Yayım ve Dağıtım

2- Taha H.A. (2003) "Operations Research: An Introduction", Pearson

3- Taha H.A. (2000) "Yoneylem Arastirmasi", Literatur Yayincilik (cev. Alp Baray and Sakir Esnaf)

4- Taylor B.W. III (2002) "Introduction to Management Science", Pearson.

Core Area Distribution

(46) Mathematics and Statistics%40 (48) Computing%10 (52) Engineering and Engineering Trades%50

Teaching Methods

ExpressionQuestion-AnswerDiscussionExercise and PracticeGroup StudyCase StudySelf studyProblem SolvingProject Based Learning (Including Field Work)

Assessment & Evaluation

HomeworkOral ExamProject / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)15345
Out of Class Study Period15230
Midterm11212
Quiz2612
Assignment000
Practice000
Final12626

Course Schedule

WeekSubjectPreparation
1Introduction to Course Integer Programming1 - Chapter 8
2Integer Programming1 - Chapter 8
3Integer Programming1 - Chapter 8
4Integer Programming1 - Chapter 8
5Solution to IP1 - Chapter 8
6Solution to IP1 - Chapter 8
7Dynamic Programming1 - Chapter 18
8Midterm Exam.
9Dynamic Programming1 - Chapter 18
10Dynamic Programming1 - Chapter 18
11Multibjective Optimization and Goal Programming3 - Chapter 8
12Multibjective Optimization and Goal Programming3 - Chapter 8
13Non-linear Programming1- Chapter 11
14Non-linear Programming1- Chapter 11
15Non-linear Programming1- Chapter 11
16Final Exam.